Table of Contents

• KnowComp at SemEval-2023 Task 7: Fine-tuning Pre-trained Language Models for Clinical Trial Entailment IdentificationWeiqi Wang, Baixuan Xu, Tianqing Fang, Lirong Zhang, Yangqiu Song. 1-9 [doi]
• lasigeBioTM at SemEval-2023 Task 7: Improving Natural Language Inference Baseline Systems with Domain OntologiesSofia I R. Conceição, Diana F. Sousa, Pedro Silvestre, Francisco M. Couto. 10-15 [doi]
• UoR-NCL at SemEval-2023 Task 1: Learning Word-Sense and Image Embeddings for Word Sense DisambiguationThanet Markchom, Huizhi Liang, Joyce Gitau, Zehao Liu, Varun Ojha 0001, Lee Taylor, Jake Bonnici, Abdullah Alshadadi. 16-22 [doi]
• Lexicools at SemEval-2023 Task 10: Sexism Lexicon Construction via XAIPakawat Nakwijit, Mahmoud Samir, Matthew Purver. 23-43 [doi]
• Augmenters at SemEval-2023 Task 1: Enhancing CLIP in Handling Compositionality and Ambiguity for Zero-Shot Visual WSD through Prompt Augmentation and Text-To-Image DiffusionJie Li, Yow-Ting Shiue, Yong-Siang Shih, Jonas Geiping. 44-49 [doi]
• HausaNLP at SemEval-2023 Task 12: Leveraging African Low Resource TweetData for Sentiment AnalysisSaheed Abdullahi Salahudeen, Falalu Ibrahim Lawan, Ahmad Mustapha Wali, Amina Abubakar Imam, Aliyu Rabiu Shuaibu, Aliyu Yusuf, Nur Bala Rabiu, Musa Bello, Shamsuddeen Umaru Adamu, Saminu Mohammad Aliyu. 50-57 [doi]
• BERTastic at SemEval-2023 Task 3: Fine-Tuning Pretrained Multilingual Transformers Does Order Matter?Tarek Mahmoud, Preslav Nakov. 58-63 [doi]
• Brooke-English at SemEval-2023 Task 5: Clickbait SpoilingShirui Tang. 64-76 [doi]
• Sea_and_Wine at SemEval-2023 Task 9: A Regression Model with Data Augmentation for Multilingual Intimacy AnalysisYuxi Chen, Yu Chang, Yanqing Tao, Yanru Zhang. 77-82 [doi]
• MarsEclipse at SemEval-2023 Task 3: Multi-lingual and Multi-label Framing Detection with Contrastive LearningQisheng Liao, Meiting Lai, Preslav Nakov. 83-87 [doi]
• Mr-Fosdick at SemEval-2023 Task 5: Comparing Dataset Expansion Techniques for Non-Transformer and Transformer Models: Improving Model Performance through Data AugmentationChristian Falkenberg, Erik Schönwälder, Tom Rietzke, Chris-Andris Görner, Robert Walther, Julius Gonsior, Anja Reusch. 88-93 [doi]
• SafeWebUH at SemEval-2023 Task 11: Learning Annotator Disagreement in Derogatory Text: Comparison of Direct Training vs AggregationSadat Shahriar, Thamar Solorio. 94-100 [doi]
• ECNU_MIV at SemEval-2023 Task 1: CTIM - Contrastive Text-Image Model for Multilingual Visual Word Sense DisambiguationZhenghui Li, Qi Zhang, Xueyin Xia, Yinxiang Ye, Cong Huang. 101-107 [doi]
• MELODI at SemEval-2023 Task 3: In-domain Pre-training for Low-resource Classification of News ArticlesNicolas Devatine, Philippe Muller, Chloé Braud. 108-113 [doi]
• Samsung Research China - Beijing at SemEval-2023 Task 2: An AL-R Model for Multilingual Complex Named Entity RecognitionHaojie Zhang, Xiao Li, Renhua Gu, Xiaoyan Qu, XiangFeng Meng, Shuo Hu, Song Liu. 114-120 [doi]
• NLP-LISAC at SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis via a Transformer-based Approach and Data AugmentationAbdessamad Benlahbib, Hamza Alami, Achraf Boumhidi, Omar Benslimane. 121-124 [doi]
• Bf3R at SemEval-2023 Task 7: a text similarity model for textual entailment and evidence retrieval in clinical trials and animal studiesMariana L. Neves. 125-129 [doi]
• University of Hildesheim at SemEval-2023 Task 1: Combining Pre-trained Multimodal and Generative Models for Image DisambiguationSebastian Diem, Chanjong Im, Thomas Mandl 0001. 130-135 [doi]
• LRL_NC at SemEval-2023 Task 4: The Touche23-George-boole Approach for Multi-Label Classification of Human-Values behind ArgumentsKushagri Tandon, Niladri Chatterjee. 136-142 [doi]
• LRL_NC at SemEval-2023 Task 6: Sequential Sentence Classification for Legal Documents Using Topic Modeling FeaturesKushagri Tandon, Niladri Chatterjee. 143-149 [doi]
• OPI at SemEval-2023 Task 9: A Simple But Effective Approach to Multilingual Tweet Intimacy AnalysisSlawomir Dadas. 150-154 [doi]
• OPI at SemEval-2023 Task 1: Image-Text Embeddings and Multimodal Information Retrieval for Visual Word Sense DisambiguationSlawomir Dadas. 155-162 [doi]
• RGAT at SemEval-2023 Task 2: Named Entity Recognition Using Graph Attention NetworkAbir Chakraborty. 163-170 [doi]
• eevvgg at SemEval-2023 Task 11: Offensive Language Classification with Rater-based InformationEwelina Gajewska. 171-176 [doi]
• HULAT at SemEval-2023 Task 9: Data Augmentation for Pre-trained Transformers Applied to Multilingual Tweet Intimacy AnalysisIsabel Segura-Bedmar. 177-183 [doi]
• HULAT at SemEval-2023 Task 10: Data Augmentation for Pre-trained Transformers Applied to the Detection of Sexism in Social MediaIsabel Segura-Bedmar. 184-192 [doi]
• Lauri Ingman at SemEval-2023 Task 4: A Chain Classifier for Identifying Human Values behind ArgumentsSpencer Paulissen, Caroline J. Wendt. 193-198 [doi]
• NLP-LISAC at SemEval-2023 Task 12: Sentiment Analysis for Tweets expressed in African languages via Transformer-based ModelsAbdessamad Benlahbib, Achraf Boumhidi. 199-204 [doi]
• StFX-NLP at SemEval-2023 Task 4: Unsupervised and Supervised Approaches to Detecting Human Values in ArgumentsEthan Heavey, Milton King, James Hughes. 205-211 [doi]
• FII SMART at SemEval 2023 Task7: Multi-evidence Natural Language Inference for Clinical Trial DataMihai Volosincu, Cosmin Lupu, Diana Trandabat, Daniela Gifu. 212-220 [doi]
• Epicurus at SemEval-2023 Task 4: Improving Prediction of Human Values behind Arguments by Leveraging Their DefinitionsChristian Fang, Qixiang Fang, Dong Nguyen 0002. 221-229 [doi]
• MaChAmp at SemEval-2023 tasks 2, 3, 4, 5, 7, 8, 9, 10, 11, and 12: On the Effectiveness of Intermediate Training on an Uncurated Collection of DatasetsRob van der Goot. 230-245 [doi]
• UBC-DLNLP at SemEval-2023 Task 12: Impact of Transfer Learning on African Sentiment AnalysisGagan Bhatia, Ife Adebara, AbdelRahim A. Elmadany, Muhammad Abdul-Mageed. 246-255 [doi]
• PAI at SemEval-2023 Task 4: A General Multi-label Classification System with Class-balanced Loss Function and Ensemble ModuleLong Ma, Zeye Sun, Jiawei Jiang, Xuan Li. 256-261 [doi]
• TüReuth Legal at SemEval-2023 Task 6: Modelling Local and Global Structure of Judgements for Rhetorical Role PredictionHenrik Manegold, Leander Girrbach. 262-269 [doi]
• nclu_team at SemEval-2023 Task 6: Attention-based Approaches for Large Court Judgement Prediction with ExplanationNicolay Rusnachenko, Thanet Markchom, Huizhi Liang. 270-274 [doi]
• TeamUnibo at SemEval-2023 Task 6: A transformer based approach to Rhetorical Roles prediction and NER in Legal TextsYuri Noviello, Enrico Pallotta, Flavio Pinzarrone, Giuseppe Tanzi. 275-284 [doi]
• UMUTeam at SemEval-2023 Task 12: Ensemble Learning of LLMs applied to Sentiment Analysis for Low-resource African LanguagesJosé Antonio García-Díaz, Camilo Caparrós-Laiz, Ángela Almela, Gema Alcaraz-Mármol, María José Marín-Pérez, Rafael Valencia-García. 285-292 [doi]
• UMUTeam and SINAI at SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis using Multilingual Large Language Models and Data AugmentationJosé Antonio García-Díaz, Ronghao Pan, Salud María Jiménez Zafra, María-Teresa Martn-Valdivia, Luis Alfonso Ureña López, Rafael Valencia-García. 293-299 [doi]
• Team QUST at SemEval-2023 Task 3: A Comprehensive Study of Monolingual and Multilingual Approaches for Detecting Online News Genre, Framing and Persuasion TechniquesYe Jiang. 300-306 [doi]
• niceNLP at SemEval-2023 Task 10: Dual Model Alternate Pseudo-labeling Improves Your PredictionsYu Chang, Yuxi Chen, Yanru Zhang. 307-311 [doi]
• NCUEE-NLP at SemEval-2023 Task 8: Identifying Medical Causal Claims and Extracting PIO Frames Using the Transformer ModelsLung-Hao Lee, Yuan-Hao Cheng, Jen-Hao Yang, Kao-Yuan Tien. 312-317 [doi]
• Zhegu at SemEval-2023 Task 9: Exponential Penalty Mean Squared Loss for Multilingual Tweet Intimacy AnalysisPan He, Yanru Zhang. 318-323 [doi]
• ABCD Team at SemEval-2023 Task 12: An Ensemble Transformer-based System for African Sentiment AnalysisDang Van Thin, Dai Nguyen, Dang Qui, Duong Ngoc Hao, Ngan Nguyen. 324-330 [doi]
• RIGA at SemEval-2023 Task 2: NER Enhanced with GPT-3Eduards Mukans, Guntis Barzdins. 331-339 [doi]
• SUTNLP at SemEval-2023 Task 4: LG-Transformer for Human Value DetectionHamed Hematian Hemati, Sayed Hesam Alavian, Hossein Sameti, Hamid Beigy. 340-346 [doi]
• SUTNLP at SemEval-2023 Task 10: RLAT-Transformer for explainable online sexism detectionHamed Hematian Hemati, Sayed Hesam Alavian, Hamid Beigy, Hossein Sameti. 347-356 [doi]
• Witcherses at SemEval-2023 Task 12: Ensemble Learning for African Sentiment AnalysisMonil Gokani, K. V. Aditya Srivatsa, Radhika Mamidi. 357-364 [doi]
• JCT at SemEval-2023 Tasks 12 A and 12B: Sentiment Analysis for Tweets Written in Low-resource African Languages using Various Machine Learning and Deep Learning Methods, Resampling, and HyperParameter TuningRon Keinan, Yaakov HaCohen-Kerner. 365-378 [doi]
• IXA at SemEval-2023 Task 2: Baseline Xlm-Roberta-base ApproachEdgar Andres Santamaria. 379-381 [doi]
• APatt at SemEval-2023 Task 3: The Sapienza NLP System for Ensemble-based Multilingual Propaganda DetectionAntonio Purificato, Roberto Navigli. 382-388 [doi]
• Foul at SemEval-2023 Task 12: MARBERT Language model and lexical filtering for sentiments analysis of tweets in Algerian ArabicFaiza Belbachir. 389-396 [doi]
• CPIC at SemEval-2023 Task 7: GPT2-Based Model for Multi-evidence Natural Language Inference for Clinical Trial DataMingtong Huang, Junxiang Ren, Lang Liu, Ruilin Song, Wenbo Yin. 397-401 [doi]
• AntContentTech at SemEval-2023 Task 6: Domain-adaptive Pretraining and Auxiliary-task Learning for Understanding Indian Legal TextsJingjing Huo, Kezun Zhang, Zhengyong Liu, Xuan Lin, Wenqiang Xu, Maozong Zheng, Zhaoguo Wang, Song Li. 402-408 [doi]
• StFX NLP at SemEval-2023 Task 1: Multimodal Encoding-based Methods for Visual Word Sense DisambiguationYuchen Wei, Milton King. 409-414 [doi]
• VTCC-NER at SemEval-2023 Task 6: An Ensemble Pre-trained Language Models for Named Entity RecognitionQuang Minh Tran, Xuan-Dung Doan. 415-419 [doi]
• Ginn-Khamov at SemEval-2023 Task 6, Subtask B: Legal Named Entities Extraction for Heterogenous DocumentsMichael Ginn, Roman Khamov. 420-425 [doi]
• Mao-Zedong at SemEval-2023 Task 4: Label Represention Multi-Head Attention Model with Contrastive Learning-Enhanced Nearest Neighbor Mechanism for Multi-Label Text ClassificationChe Zhang, Ping'an Liu, Zhenyang Xiao, Haojun Fei. 426-432 [doi]
• PCJ at SemEval-2023 Task 10: A Ensemble Model Based on Pre-trained Model for Sexism Detection and Classification in EnglishChujun Pu, Xiaobing Zhou. 433-438 [doi]
• SRCB at SemEval-2023 Task 1: Prompt Based and Cross-Modal Retrieval Enhanced Visual Word Sense DisambiguationXudong Zhang, Tiange Zhen, Jing Zhang, Yujin Wang, Song Liu. 439-446 [doi]
• JUST-KM at SemEval-2023 Task 7: Multi-evidence Natural Language Inference using Role-based Double Roberta-LargeKefah Alissa, Malak Abdullah. 447-452 [doi]
• LLM-RM at SemEval-2023 Task 2: Multilingual Complex NER Using XLM-RoBERTaRahul Mehta 0008, Vasudeva Varma. 453-456 [doi]
• teamPN at SemEval-2023 Task 1: Visual Word Sense Disambiguation Using Zero-Shot MultiModal ApproachNikita Katyal, Pawan Rajpoot, Subhanandh Tamilarasu, Joy Mustafi. 457-461 [doi]
• LT at SemEval-2023 Task 1: Effective Zero-Shot Visual Word Sense Disambiguation Approaches using External Knowledge SourcesFlorian Schneider, Chris Biemann. 462-468 [doi]
• Coco at SemEval-2023 Task 10: Explainable Detection of Online SexismKangshuai Guo, Ruipeng Ma, Shichao Luo, Yan Wang. 469-476 [doi]
• Diane Simmons at SemEval-2023 Task 5: Is it possible to make good clickbait spoilers using a Zero-Shot approach? Check it out!Niels Krog, Manex Agirrezabal. 477-481 [doi]
• OPI PIB at SemEval-2023 Task 1: A CLIP-based Solution Paired with an Additional Word Context ExtensionMagorzata Grbowiec. 482-487 [doi]
• NLNDE at SemEval-2023 Task 12: Adaptive Pretraining and Source Language Selection for Low-Resource Multilingual Sentiment AnalysisMingyang Wang, Heike Adel, Lukas Lange, Jannik Strötgen, Hinrich Schütze. 488-497 [doi]
• IUST_NLP at SemEval-2023 Task 10: Explainable Detecting Sexism with Transformers and Task-adaptive PretrainingHadiseh Mahmoudi. 498-505 [doi]
• TAM of SCNU at SemEval-2023 Task 1: FCLL: A Fine-grained Contrastive Language-Image Learning Model for Cross-language Visual Word Sense DisambiguationQihao Yang, Yong Li, Xuelin Wang, Shunhao Li, Tianyong Hao. 506-511 [doi]
• Sefamerve at SemEval-2023 Task 12: Semantic Evaluation of Rarely Studied LanguagesSelman Delil, Birol Kuyumcu. 512-516 [doi]
• TeamShakespeare at SemEval-2023 Task 6: Understand Legal Documents with Contextualized Large Language ModelsXin Jin, Yuchen Wang. 517-525 [doi]
• JUST_ONE at SemEval-2023 Task 10: Explainable Detection of Online Sexism (EDOS)Doaa Obeidat, Wala'a Shnaigat, Heba Nammas, Malak Abdullah. 526-531 [doi]
• Adam-Smith at SemEval-2023 Task 4: Discovering Human Values in Arguments with Ensembles of Transformer-based ModelsDaniel Schroter, Daryna Dementieva, Georg Groh. 532-541 [doi]
• Andronicus of Rhodes at SemEval-2023 Task 4: Transformer-Based Human Value Detection Using Four Different Neural Network ArchitecturesGeorgios Papadopoulos, Marko Kokol, Maria Dagioglou, Georgios Petasis. 542-548 [doi]
• FTD at SemEval-2023 Task 3: News Genre and Propaganda Detection by Comparing Mono- and Multilingual Models with Fine-tuning on Additional DataMikhail Lepekhin, Serge Sharoff. 549-555 [doi]
• MIND at SemEval-2023 Task 11: From Uncertain Predictions to Subjective DisagreementGiulia Rizzi, Alessandro Astorino, Daniel Scalena, Paolo Rosso, Elisabetta Fersini. 556-564 [doi]
• Sartipi-Sedighin at SemEval-2023 Task 2: Fine-grained Named Entity Recognition with Pre-trained Contextual Language Models and Data Augmentation from WikipediaAmir Sartipi, Amirreza Sedighin, Afsaneh Fatemi, Hamidreza Baradaran Kashani. 565-579 [doi]
• uOttawa at SemEval-2023 Task 6: Deep Learning for Legal Text UnderstandingIntisar Almuslim, Sean Stilwell, Surya Kiran Suresh, Diana Inkpen. 580-588 [doi]
• UMUTeam at SemEval-2023 Task 10: Fine-grained detection of sexism in EnglishRonghao Pan, José Antonio García-Díaz, Salud María Jiménez Zafra, Rafael Valencia-García. 589-594 [doi]
• NLP_CHRISTINE at SemEval-2023 Task 10: Utilizing Transformer Contextual Representations and Ensemble Learning for Sexism Detection on Social Media TextsChristina Christodoulou. 595-602 [doi]
• T.M. Scanlon at SemEval-2023 Task 4: Leveraging Pretrained Language Models for Human Value Argument Mining with Contrastive LearningMilad Molazadeh Oskuee, Mostafa Rahgouy, Hamed Babaei Giglou, Cheryl D. Seals. 603-608 [doi]
• UMUTeam at SemEval-2023 Task 3: Multilingual transformer-based model for detecting the Genre, the Framing, and the Persuasion Techniques in Online NewsRonghao Pan, José Antonio García-Díaz, Miguel Ángel Rodríguez-García, Rafael Valencia-García. 609-615 [doi]
• Appeal for Attention at SemEval-2023 Task 3: Data augmentation extension strategies for detection of online news persuasion techniquesSergiu Amihaesei, Laura Cornei, George Stoica. 616-623 [doi]
• Chick Adams at SemEval-2023 Task 5: Using RoBERTa and DeBERTa to Extract Post and Document-based Features for Clickbait SpoilingRonghao Pan, José Antonio García-Díaz, Franciso García-Sánchez, Rafael Valencia-García. 624-628 [doi]
• KInITVeraAI at SemEval-2023 Task 3: Simple yet Powerful Multilingual Fine-Tuning for Persuasion Techniques DetectionTimo Hromadka, Timotej Smolen, Tomas Remis, Branislav Pecher, Ivan Srba. 629-637 [doi]
• jelenasteam at SemEval-2023 Task 9: Quantification of Intimacy in Multilingual Tweets using Machine Learning Algorithms: A Comparative Study on the MINT DatasetJelena Lazic, Sanja Vujnovic. 638-643 [doi]
• UL & UM6P at SemEval-2023 Task 10: Semi-Supervised Multi-task Learning for Explainable Detection of Online SexismSalima Lamsiyah, Abdelkader El Mahdaouy, Hamza Alami, Ismail Berrada, Christoph Schommer. 644-650 [doi]
• USTC-NELSLIP at SemEval-2023 Task 2: Statistical Construction and Dual Adaptation of Gazetteer for Multilingual Complex NERJun-Yu Ma, Jia-Chen Gu, Jiajun Qi, Zhenhua Ling, Quan Liu, Xiaoyi Zhao. 651-659 [doi]
• Rudolf Christoph Eucken at SemEval-2023 Task 4: An Ensemble Approach for Identifying Human Values from ArgumentsSougata Saha, Rohini K. Srihari. 660-663 [doi]
• YNU-HPCC at SemEval-2023 Task7: Multi-evidence Natural Language Inference for Clinical Trial Data Based a BioBERT ModelChao Feng, Jin Wang, Xuejie Zhang. 664-670 [doi]
• SRCB at SemEval-2023 Task 2: A System of Complex Named Entity Recognition with External KnowledgeYuMing Zhang, HongYu Li, Yongwei Zhang, Shanshan Jiang, Bin Dong. 671-678 [doi]
• PingAnLifeInsurance at SemEval-2023 Task 12: Sentiment Analysis for Low-resource African Languages with Multi-Model FusionMeizhi Jin, Cheng Chen, Mengyuan Zhou, Mengfei Yuan, Xiaolong Hou, Xiyang Du, Lianxin Jiang, Jianyu Li. 679-685 [doi]
• IRIT_IRIS_C at SemEval-2023 Task 6: A Multi-level Encoder-based Architecture for Judgement Prediction of Legal Cases and their ExplanationNishchal Prasad, Mohand Boughanem, Taoufiq Dkaki. 686-692 [doi]
• Walter Burns at SemEval-2023 Task 5: NLP-CIMAT - Leveraging Model Ensembles for Clickbait SpoilingEmilio Villa-Cueva, Daniel Vallejo Aldana, Fernando Sánchez-Vega, Adrián Pastor López-Monroy. 693-699 [doi]
• Team INF-UFRGS at SemEval-2023 Task 7: Supervised Contrastive Learning for Pair-level Sentence Classification and Evidence RetrievalAbel Corrêa Dias, Filipe Dias, Higor Moreira, Viviane P. Moreira, João Luiz Dihl Comba. 700-706 [doi]
• AU_NLP at SemEval-2023 Task 10: Explainable Detection of Online Sexism Using Fine-tuned RoBERTaAmit Das, Nilanjana Raychawdhary, Tathagata Bhattacharya, Gerry V. Dozier, Cheryl D. Seals. 707-717 [doi]
• KINLP at SemEval-2023 Task 12: Kinyarwanda Tweet Sentiment AnalysisAntoine Nzeyimana. 718-723 [doi]
• ACSMKRHR at SemEval-2023 Task 10: Explainable Online Sexism Detection(EDOS)Rakib Hossain Rifat, Abanti Chakraborty Shruti, Marufa Kamal, Farig Sadeque. 724-732 [doi]
• YNU-HPCC at SemEval-2023 Task 9: Pretrained Language Model for Multilingual Tweet Intimacy AnalysisQisheng Cai, Jin Wang, Xuejie Zhang. 733-738 [doi]
• JCT_DM at SemEval-2023 Task 10: Detection of Online Sexism: from Classical Models to TransformersEfrat Luzzon, Chaya Liebeskind. 739-743 [doi]
• PAI at SemEval-2023 Task 2: A Universal System for Named Entity Recognition with External Entity InformationLong Ma, Kai Lu, Tianbo Che, Hailong Huang, Weiguo Gao, Xuan Li. 744-750 [doi]
• NITS_Legal at SemEval-2023 Task 6: Rhetorical Roles Prediction of Indian Legal Documents via Sentence Sequence Labeling ApproachDeepali Jain, Malaya Dutta Borah, Anupam Biswas. 751-757 [doi]
• I2C-Huelva at SemEval-2023 Task 9: Analysis of Intimacy in Multilingual Tweets Using Resampling Methods and TransformersAbel Pichardo Estevez, Jacinto Mata Vázquez, Victoria Pachón Álvarez, Nordin El Balima Cordero. 758-762 [doi]
• I2C-Huelva at SemEval-2023 Task 10: Ensembling Transformers Models for the Detection of Online SexismLavinia Felicia Fudulu, Alberto Rodriguez Tenorio, Victoria Pachón Álvarez, Jacinto Mata Vázquez. 763-769 [doi]
• ZBL2W at SemEval-2023 Task 9: A Multilingual Fine-tuning Model with Data Augmentation for Tweet Intimacy AnalysisHao Zhang, Youlin Wu, Junyu Lu, Zewen Bai, Jiangming Wu, Hongfei Lin, Shaowu Zhang 0002. 770-775 [doi]
• NCUEE-NLP at SemEval-2023 Task 7: Ensemble Biomedical LinkBERT Transformers in Multi-evidence Natural Language Inference for Clinical Trial DataChao-Yi Chen, Kao-Yuan Tien, Yuan-Hao Cheng, Lung-Hao Lee. 776-781 [doi]
• Tsingriver at SemEval-2023 Task 10: Labeled Data Augmentation in Consistency TrainingYehui Xu, Haiyan Ding. 782-786 [doi]
• UnedMediaBiasTeam @ SemEval-2023 Task 3: Can We Detect Persuasive Techniques Transferring Knowledge From Media Bias Detection?Francisco-Javier Rodrigo-Ginés, Laura Plaza, Jorge Carrillo-de-Albornoz. 787-793 [doi]
• NL4IA at SemEval-2023 Task 3: A Comparison of Sequence Classification and Token Classification to Detect Persuasive TechniquesAlbert Pritzkau. 794-799 [doi]
• IITD at SemEval-2023 Task 2: A Multi-Stage Information Retrieval Approach for Fine-Grained Named Entity RecognitionShivani Choudhary, Niladri Chatterjee, Subir K. Saha. 800-806 [doi]
• L3I++ at SemEval-2023 Task 2: Prompting for Multilingual Complex Named Entity RecognitionCarlos-Emiliano González-Gallardo, Tran Thi Hong Hanh, Nancy Girdhar, Emanuela Boros, José G. Moreno 0001, Antoine Doucet. 807-814 [doi]
• CNLP-NITS at SemEval-2023 Task 10: Online sexism prediction, PREDHATE!Advaitha Vetagiri, Prottay Kumar Adhikary, Partha Pakray, Amitava Das. 815-822 [doi]
• garNER at SemEval-2023: Simplified Knowledge Augmentation for Multilingual Complex Named Entity RecognitionMd Zobaer Hossain, Averie Ho Zoen So, Silviya Silwal, H. Andres Gonzalez Gongora, Ahnaf Mozib Samin, Jahedul Alam Junaed, Aritra Mazumder, Sourav Saha, Sabiha Tahsin Soha. 823-835 [doi]
• D2KLab at SemEval-2023 Task 2: Leveraging T-NER to Develop a Fine-Tuned Multilingual Model for Complex Named Entity RecognitionThibault Ehrhart, Julien Plu, Raphaël Troncy. 836-840 [doi]
• LTRC at SemEval-2023 Task 6: Experiments with Ensemble EmbeddingsPavan Baswani, Hiranmai Sri Adibhatla, Manish Shrivastava 0001. 841-846 [doi]
• TeamAmpa at SemEval-2023 Task 3: Exploring Multilabel and Multilingual RoBERTa Models for Persuasion and Framing DetectionAmalie Brogaard Pauli, Rafael Sarabia, Leon Derczynski, Ira Assent. 847-855 [doi]
• UM6P at SemEval-2023 Task 3: News genre classification based on transformers, graph convolution networks and number of sentencesHamza Alami, Abdessamad Benlahbib, Abdelkader El Mahdaouy, Ismail Berrada. 856-861 [doi]
• Viettel-AI at SemEval-2023 Task 6: Legal Document Understanding with Longformer for Court Judgment Prediction with ExplanationThanh Dat Hoang, Chi Minh Bui, Nam Bui. 862-868 [doi]
• GunadarmaXBRIN at SemEval-2023 Task 12: Utilization of SVM and AfriBERTa for Monolingual, Multilingual, and Zero-shot Sentiment Analysis in African LanguagesNovitasari Arlim, Slamet Riyanto, Rodiah Rodiah, Al Hafiz Akbar Maulana Siagian. 869-877 [doi]
• MEERQAT-IRIT at SemEval-2023 Task 2: Leveraging Contextualized Tag Descriptors for Multilingual Named Entity RecognitionJesús Lovón-Melgarejo, José G. Moreno 0001, Romaric Besançon, Olivier Ferret, Lynda Lechani. 878-884 [doi]
• Unisa at SemEval-2023 Task 3: A SHAP-based method for Propaganda DetectionMicaela Lucia Bangerter, Giuseppe Fenza, Mariacristina Gallo, Vincenzo Loia, Alberto Volpe, Carmen De Maio, Claudio Stanzione. 885-891 [doi]
• DUTIR at SemEval-2023 Task 10: Semi-supervised Learning for Sexism Detection in EnglishBingjie Yu, Zewen Bai, Haoran Ji, Shiyi Li, Hao Zhang, Hongfei Lin. 892-896 [doi]
• NetEase.AI at SemEval-2023 Task 2: Enhancing Complex Named Entities Recognition in Noisy Scenarios via Text Error Correction and External KnowledgeRuixuan Lu, Zihang Tang, Guanglong Hu, Dong Liu, Jiacheng Li. 897-904 [doi]
• IRIT_IRIS_A at SemEval-2023 Task 6: Legal Rhetorical Role Labeling Supported by Dynamic-Filled Contextualized Sentence ChunksAlexandre Gomes de Lima, José G. Moreno 0001, Eduardo Henrique da S. Aranha. 905-912 [doi]
• Togedemaru at SemEval-2023 Task 8: Causal Medical Claim Identification and Extraction from Social Media PostsAndra Oica, Daniela Gifu, Diana Trandabat. 913-921 [doi]
• FramingFreaks at SemEval-2023 Task 3: Detecting the Category and the Framing of Texts as Subword Units with Traditional Machine LearningRosina Baumann, Sabrina Deisenhofer. 922-926 [doi]
• Lazybob at SemEval-2023 Task 9: Quantifying Intimacy of Multilingual Tweets with Multi-Task LearningMengfei Yuan, Cheng Chen. 927-933 [doi]
• HITSZQ at SemEval-2023 Task 10: Category-aware Sexism Detection Model with Self-training StrategyZiyi Yao, Heyan Chai, Jinhao Cui, Siyu Tang, Qing Liao 0001. 934-940 [doi]
• mCPT at SemEval-2023 Task 3: Multilingual Label-Aware Contrastive Pre-Training of Transformers for Few- and Zero-shot Framing DetectionMarkus Reiter-Haas, Alexander Ertl, Kevin Innerhofer, Elisabeth Lex. 941-949 [doi]
• SSNSheerinKavitha at SemEval-2023 Task 7: Semantic Rule Based Label Prediction Using TF-IDF and BM25 TechniquesSheerin Sitara Noor Mohamed, Kavitha Srinivasan. 950-957 [doi]
• Janko at SemEval-2023 Task 2: Bidirectional LSTM Model Based on Pre-training for Chinese Named Entity RecognitionJiankuo Li, Zhengyi Guan, Haiyan Ding. 958-962 [doi]
• HHS at SemEval-2023 Task 10: A Comparative Analysis of Sexism Detection Based on the RoBERTa ModelYao Zhang, Liqing Wang. 963-968 [doi]
• Sabrina Spellman at SemEval-2023 Task 5: Discover the Shocking Truth Behind this Composite Approach to Clickbait Spoiling!Simon Birkenheuer, Jonathan Drechsel, Paul Justen, Jimmy Phlmann, Julius Gonsior, Anja Reusch. 969-977 [doi]
• University at Buffalo at SemEval-2023 Task 11: MASDA-Modelling Annotator Sensibilities through DisAggregationMichael Sullivan, Mohammed Yasin, Cassandra L. Jacobs. 978-985 [doi]
• SINAI at SemEval-2023 Task 10: Leveraging Emotions, Sentiments, and Irony Knowledge for Explainable Detection of Online SexismMaría Estrella Vallecillo Rodrguez, Flor Miriam Plaza del Arco, Luis Alfonso Ureña López, María-Teresa Martín Valdivia. 986-994 [doi]
• Saama AI Research at SemEval-2023 Task 7: Exploring the Capabilities of Flan-T5 for Multi-evidence Natural Language Inference in Clinical Trial DataKamal Raj Kanakarajan, Malaikannan Sankarasubbu. 995-1003 [doi]
• UM6P at SemEval-2023 Task 12: Out-Of-Distribution Generalization Method for African Languages Sentiment AnalysisAbdelkader El Mahdaouy, Hamza Alami, Salima Lamsiyah, Ismail Berrada. 1004-1010 [doi]
• MarSan at SemEval-2023 Task 10: Can Adversarial Training with help of a Graph Convolutional Network Detect Explainable Sexism?Ehsan Tavan, Maryam Najafi. 1011-1020 [doi]
• UZH_CLyp at SemEval-2023 Task 9: Head-First Fine-Tuning and ChatGPT Data Generation for Cross-Lingual Learning in Tweet Intimacy PredictionAndrianos Michail, Stefanos Konstantinou, Simon Clematide. 1021-1029 [doi]
• CICL_DMS at SemEval-2023 Task 11: Learning With Disagreements (Le-Wi-Di)Dennis Grötzinger, Simon Heuschkel, Matthias Drews. 1030-1036 [doi]
• Aristoxenus at SemEval-2023 Task 4: A Domain-Adapted Ensemble Approach to the Identification of Human Values behind ArgumentsDimitrios Zaikis, Stefanos D. Stefanidis, Konstantinos Anagnostopoulos, Ioannis P. Vlahavas. 1037-1043 [doi]
• Augustine of Hippo at SemEval-2023 Task 4: An Explainable Knowledge Extraction Method to Identify Human Values in Arguments with SuperASKEAlfio Ferrara, Sergio Picascia, Elisabetta Rocchetti. 1044-1053 [doi]
• UIO at SemEval-2023 Task 12: Multilingual fine-tuning for sentiment classification in low-resource LanguagesEgil Rønningstad. 1054-1060 [doi]
• UMUTeam at SemEval-2023 Task 11: Ensemble Learning applied to Binary Supervised Classifiers with disagreementsJosé Antonio García-Díaz, Ronghao Pan, Gema Alcaraz-Mármol, María José Marín-Pérez, Rafael Valencia-García. 1061-1066 [doi]
• Matt Bai at SemEval-2023 Task 5: Clickbait spoiler classification via BERTNukit Tailor, Radhika Mamidi. 1067-1068 [doi]
• shefnlp at SemEval-2023 Task 10: Compute-Efficient Category AdaptersThomas Pickard, Tyler Loakman, Mugdha Pandya. 1069-1075 [doi]
• xiacui at SemEval-2023 Task 11: Learning a Model in Mixed-Annotator Datasets Using Annotator Ranking Scores as Training WeightsXia Cui. 1076-1084 [doi]
• Team ISCL_WINTER at SemEval-2023 Task 12: AfriSenti-SemEval: Sentiment Analysis for Low-resource African Languages using Twitter DatasetAlina Hancharova, John Wang, Mayank Kumar. 1085-1089 [doi]
• Jack-Ryder at SemEval-2023 Task 5: Zero-Shot Clickbait Spoiling by Rephrasing Titles as QuestionsDirk Wangsadirdja, Jan Pfister, Konstantin Kobs, Andreas Hotho. 1090-1095 [doi]
• MLModeler5 at SemEval-2023 Task 3: Detecting the Category and the Framing Techniques in Online News in a Multi-lingual SetupArjun Khanchandani, Nitansh Jain, Jatin Bedi. 1096-1101 [doi]
• DS at SemEval-2023 Task 10: Explaining Online Sexism using Transformer based ApproachMadisetty Padmavathi. 1102-1106 [doi]
• FII_Better at SemEval-2023 Task 2: MultiCoNER II Multilingual Complex Named Entity RecognitionViorica-Camelia Lupancu, Alexandru-Gabriel Platica, Cristian-Mihai Rosu, Daniela Gifu, Diana Trandabat. 1107-1113 [doi]
• Brainstormers_msec at SemEval-2023 Task 10: Detection of sexism related comments in social media using deep learningJerin Mahibha C, C. M. Swaathi, R. Jeevitha, R. Princy Martina, Durairaj Thenmozhi. 1114-1120 [doi]
• VTCC-NLP at SemEval-2023 Task 6: Long-Text Representation Based on Graph Neural Network for Rhetorical Roles PredictionHiep Nguyen, Hoang Ngo, Nam Bui. 1121-1126 [doi]
• Minanto at SemEval-2023 Task 2: Fine-tuning XLM-RoBERTa for Named Entity Recognition on English DataAntonia Höfer, Mina Mottahedin. 1127-1130 [doi]
• SAB at SemEval-2023 Task 2: Does Linguistic Information Aid in Named Entity Recognition?Siena Biales. 1131-1137 [doi]
• UniBoe's at SemEval-2023 Task 10: Model-Agnostic Strategies for the Improvement of Hate-Tuned and Generative Models in the Classification of Sexist PostsArianna Muti, Francesco Fernicola, Alberto Barrón-Cedeño. 1138-1147 [doi]
• NLPeople at SemEval-2023 Task 2: A Staged Approach for Multilingual Named Entity RecognitionMohab Elkaref, Nathan Herr, Shinnosuke Tanaka, Geeth de Mel. 1148-1153 [doi]
• NITK_LEGAL at SemEval-2023 Task 6: A Hierarchical based system for identification of Rhetorical Roles in legal judgementsPatchipulusu Sindhu, Diya Gupta, Sanjeevi Meghana, Anand Kumar M. 1154-1160 [doi]
• Trinity at SemEval-2023 Task 12: Sentiment Analysis for Low-resource African Languages using Twitter DatasetShashank Rathi, Siddhesh Pande, Harshwardhan Atkare, Rahul Tangsali, Aditya Vyawahare, Dipali Kadam. 1161-1165 [doi]
• HHU at SemEval-2023 Task 3: An Adapter-based Approach for News Genre ClassificationFabian Billert, Stefan Conrad 0001. 1166-1171 [doi]
• GMNLP at SemEval-2023 Task 12: Sentiment Analysis with Phylogeny-Based AdaptersMd Mahfuz Ibn Alam, Ruoyu Xie, Fahim Faisal, Antonios Anastasopoulos. 1172-1182 [doi]
• Silp_nlp at SemEval-2023 Task 2: Cross-lingual Knowledge Transfer for Mono-lingual LearningSumit Singh, Uma Tiwary. 1183-1189 [doi]
• TechSSN at SemEval-2023 Task 12: Monolingual Sentiment Classification in Hausa TweetsNishaanth Ramanathan, Rajalakshmi Sivanaiah, Angel Deborah S, Mirnalinee Thanka Nadar Thanagathai. 1190-1194 [doi]
• JUAGE at SemEval-2023 Task 10: Parameter Efficient ClassificationJeffrey Sorensen, Katerina Korre, John Pavlopoulos, Katrin Tomanek, Nithum Thain, Lucas Dixon, Leo Laugier. 1195-1203 [doi]
• Clark Kent at SemEval-2023 Task 5: SVMs, Transformers, and Pixels for Clickbait SpoilingDragos-stefan Mihalcea, Sergiu Nisioi. 1204-1212 [doi]
• Team JUSTR00 at SemEval-2023 Task 3: Transformers for News Articles ClassificationAhmed Al-Qarqaz, Malak Abdullah. 1213-1216 [doi]
• Sam Miller at SemEval-2023 Task 5: Classification and Type-specific Spoiler Extraction Using XLNET and Other Transformer ModelsPia Störmer, Tobias Esser, Patrick Thomasius. 1217-1224 [doi]
• DUTH at SemEval-2023 Task 9: An Ensemble Approach for Twitter Intimacy AnalysisGiorgos Arampatzis, Vasileios Perifanis, Symeon Symeonidis, Avi Arampatzis. 1225-1230 [doi]
• SSS at SemEval-2023 Task 10: Explainable Detection of Online Sexism using Majority Voted Fine-Tuned TransformersSriya Rallabandi, Sanchit Singhal, Pratinav Seth. 1231-1236 [doi]
• QCRI at SemEval-2023 Task 3: News Genre, Framing and Persuasion Techniques Detection Using Multilingual ModelsMaram Hasanain, Ahmed Oumar El-Shangiti, Rabindra Nath Nandi, Preslav Nakov, Firoj Alam. 1237-1244 [doi]
• ResearchTeam_HCN at SemEval-2023 Task 6: A knowledge enhanced transformers based legal NLP systemDhanachandra Ningthoujam, Pinal Patel, Rajkamal Kareddula, Ramanand Vangipuram. 1245-1253 [doi]
• LSJSP at SemEval-2023 Task 2: FTBC: A FastText based framework with pre-trained BERT for NERShilpa Chatterjee, Leo Evenss, Pramit Bhattacharyya, Joydeep Mondal. 1254-1259 [doi]
• QCon at SemEval-2023 Task 10: Data Augmentation and Model Ensembling for Detection of Online SexismWeston Feely, Prabhakar Gupta, Manas Ranjan Mohanty, Timothy Chon, Tuhin Kundu, Vijit Singh, Sandeep Atluri, Tanya Roosta, Viviane Ghaderi, Peter Schulam. 1260-1270 [doi]
• Rahul Patil at SemEval-2023 Task 1: V-WSD: Visual Word Sense DisambiguationRahul Patil, Pinal Patel, Charin Patel, Mangal Verma. 1271-1275 [doi]
• PoSh at SemEval-2023 Task 10: Explainable Detection of Online SexismShruti Sriram, Padma Pooja Chandran, Shrijith M. R.. 1276-1281 [doi]
• Legal_try at SemEval-2023 Task 6: Voting Heterogeneous Models for Entities identification in Legal DocumentsJunzhe Zhao, Yingxi Wang, Nicolay Rusnachenko, Huizhi Liang. 1282-1286 [doi]
• MDC at SemEval-2023 Task 7: Fine-tuning Transformers for Textual Entailment Prediction and Evidence Retrieval in Clinical TrialsRobert Bevan, Oisn Turbitt, Mouhamad Aboshokor. 1287-1292 [doi]
• Nonet at SemEval-2023 Task 6: Methodologies for Legal EvaluationShubham Kumar Nigam, Aniket Deroy, Noel Shallum, Ayush Kumar Mishra, Anup Roy, Shubham Kumar Mishra, Arnab Bhattacharya 0001, Saptarshi Ghosh 0001, Kripabandhu Ghosh. 1293-1303 [doi]
• ChaPat at SemEval-2023 Task 9: Text Intimacy Analysis using Ensembles of Multilingual TransformersTanmay Chavan, Ved Patwardhan. 1304-1310 [doi]
• Masakhane-Afrisenti at SemEval-2023 Task 12: Sentiment Analysis using Afro-centric Language Models and Adapters for Low-resource African LanguagesIsrael Abebe Azime, Sana Sabah Al-azzawi, Atnafu Lambebo Tonja, Iyanuoluwa Shode, Jesujoba O. Alabi, Ayodele Awokoya, Mardiyyah Oduwole, Tosin P. Adewumi, Samuel Fanijo, Oyinkansola Awosan. 1311-1316 [doi]
• tmn at SemEval-2023 Task 9: Multilingual Tweet Intimacy Detection Using XLM-T, Google Translate, and Ensemble LearningAnna Glazkova. 1317-1323 [doi]
• JudithJeyafreeda at SemEval-2023 Task 10: Machine Learning for Explainable Detection of Online SexismJudith Jeyafreeda Andrew. 1324-1328 [doi]
• Lon-eå at SemEval-2023 Task 11: A Comparison of Activation Functions for Soft and Hard Label PredictionPeyman Hosseini, Mehran Hosseini, Sana Sabah Al-azzawi, Marcus Liwicki, Ignacio Castro, Matthew Purver. 1329-1334 [doi]
• IXA/Cogcomp at SemEval-2023 Task 2: Context-enriched Multilingual Named Entity Recognition Using Knowledge BasesIker García-Ferrero, Jon Ander Campos, Oscar Sainz, Ander Salaberria, Dan Roth. 1335-1346 [doi]
• ACCEPT at SemEval-2023 Task 3: An Ensemble-based Approach to Multilingual Framing DetectionPhilipp Heinisch, Moritz Plenz, Anette Frank, Philipp Cimiano. 1347-1358 [doi]
• Noam Chomsky at SemEval-2023 Task 4: Hierarchical Similarity-aware Model for Human Value DetectionSumire Honda, Sebastian Wilharm. 1359-1364 [doi]
• NLP-Titan at SemEval-2023 Task 6: Identification of Rhetorical Roles Using Sequential Sentence ClassificationHarsh Kataria, Ambuje Gupta. 1365-1370 [doi]
• AdamR at SemEval-2023 Task 10: Solving the Class Imbalance Problem in Sexism Detection with Ensemble LearningAdam Rydelek, Daryna Dementieva, Georg Groh. 1371-1381 [doi]
• I2C Huelva at SemEval-2023 Task 4: A Resampling and Transformers Approach to Identify Human Values behind ArgumentsNordin El Balima Cordero, Jacinto Mata Vázquez, Victoria Pachón Álvarez, Abel Pichardo Estevez. 1382-1387 [doi]
• MLlab4CS at SemEval-2023 Task 2: Named Entity Recognition in Low-resource Language Bangla Using Multilingual Language ModelsShrimon Mukherjee, Madhusudan Ghosh, Girish, Partha Basuchowdhuri. 1388-1394 [doi]
• Kb at SemEval-2023 Task 3: On Multitask Hierarchical BERT Base Neural Network for Multi-label Persuasion Techniques DetectionKatarzyna Baraniak, Marcin Sydow. 1395-1400 [doi]
• PoliToHFI at SemEval-2023 Task 6: Leveraging Entity-Aware and Hierarchical Transformers For Legal Entity Recognition and Court Judgment PredictionIrene Benedetto, Alkis Koudounas, Lorenzo Vaiani, Eliana Pastor, Elena Baralis, Luca Cagliero, Francesco Tarasconi. 1401-1411 [doi]
• UO-LouTAL at SemEval-2023 Task 6: Lightweight Systems for Legal ProcessingSébastien Bosch, Louis Estève, Joanne Loo, Anne-Lyse Minard. 1412-1420 [doi]
• NLP-LTU at SemEval-2023 Task 10: The Impact of Data Augmentation and Semi-Supervised Learning Techniques on Text Classification Performance on an Imbalanced DatasetSana Sabah Al-azzawi, György Kovács 0001, Filip Nilsson, Tosin P. Adewumi, Marcus Liwicki. 1421-1427 [doi]
• John-Arthur at SemEval-2023 Task 4: Fine-Tuning Large Language Models for Arguments ClassificationGeorgios Balikas. 1428-1432 [doi]
• NAP at SemEval-2023 Task 3: Is Less Really More? (Back-)Translation as Data Augmentation Strategies for Detecting Persuasion TechniquesNeele Falk, Annerose Eichel, Prisca Piccirilli. 1433-1446 [doi]
• PoliTo at SemEval-2023 Task 1: CLIP-based Visual-Word Sense Disambiguation Based on Back-TranslationLorenzo Vaiani, Luca Cagliero, Paolo Garza. 1447-1453 [doi]
• FMI-SU at SemEval-2023 Task 7: Two-level Entailment Classification of Clinical Trials Enhanced by Contextual Data AugmentationSylvia Vassileva, Georgi Grazhdanski, Svetla Boytcheva, Ivan Koychev. 1454-1462 [doi]
• ML Mob at SemEval-2023 Task 1: Probing CLIP on Visual Word-Sense DisambiguationClifton Poth, Martin Hentschel 0002, Tobias Werner 0004, Hannah Sterz, Leonard Bongard. 1463-1469 [doi]
• Alexander Knox at SemEval-2023 Task 5: The comparison of prompting and standard fine-tuning techniques for selecting the type of spoiler needed to neutralize a clickbaitMateusz Wozny, Mateusz Lango. 1470-1475 [doi]
• hhuEDOS at SemEval-2023 Task 10: Explainable Detection of Online Sexism (EDOS) Binary Sexism Detection (Subtask A)Wiebke Petersen, Diem-Ly Tran, Marion Wroblewitz. 1476-1482 [doi]
• Rutgers Multimedia Image Processing Lab at SemEval-2023 Task-1: Text-Augmentation-based Approach for Visual Word Sense DisambiguationKeyi Li, Sen Yang 0002, Chenyang Gao, Ivan Marsic. 1483-1490 [doi]
• Uppsala University at SemEval-2023 Task12: Zero-shot Sentiment Classification for Nigerian Pidgin TweetsAnnika Kniele, Meriem Beloucif. 1491-1497 [doi]
• KDDIE at SemEval-2023 Task 2: External Knowledge Injection for Named Entity RecognitionCaleb Martin, Huichen Yang, William H. Hsu. 1498-1501 [doi]
• Bhattacharya_Lab at SemEval-2023 Task 12: A Transformer-based Language Model for Sentiment Classification for Low Resource African Languages: Nigerian Pidgin and YorubaNathaniel Hughes, Kevan Baker, Aditya Singh, Aryavardhan Singh, Tharalillah Dauda, Sutanu Bhattacharya. 1502-1507 [doi]
• Seals_Lab at SemEval-2023 Task 12: Sentiment Analysis for Low-resource African Languages, Hausa and IgboNilanjana Raychawdhary, Amit Das, Gerry V. Dozier, Cheryl D. Seals. 1508-1517 [doi]
• FIT BUT at SemEval-2023 Task 12: Sentiment Without Borders - Multilingual Domain Adaptation for Low-Resource Sentiment ClassificationMaksim Aparovich, Santosh Kesiraju, Aneta Dufkova, Pavel Smrz. 1518-1524 [doi]
• WKU_NLP at SemEval-2023 Task 9: Translation Augmented Multilingual Tweet Intimacy AnalysisQinyuan Zheng. 1525-1530 [doi]
• PanwarJayant at SemEval-2023 Task 10: Exploring the Effectiveness of Conventional Machine Learning Techniques for Online Sexism DetectionJayant Panwar, Radhika Mamidi. 1531-1536 [doi]
• DN at SemEval-2023 Task 12: Low-Resource Language Text Classification via Multilingual Pretrained Language Model Fine-tuningDaniil Homskiy, Narek Maloyan. 1537-1541 [doi]
• Billie-Newman at SemEval-2023 Task 5: Clickbait Classification and Question Answering with Pre-Trained Language Models, Named Entity Recognition and Rule-Based ApproachesAndreas Kruff, Anh Huy Matthias Tran. 1542-1550 [doi]
• UTB-NLP at SemEval-2023 Task 3: Weirdness, Lexical Features for Detecting Categorical Framings, and Persuasion in Online NewsJuan Cuadrado, Elizabeth Martinez, Anderson Morillo, Daniel Peña, Kevin Sossa, Juan Carlos Martínez Santos, Edwin Puertas. 1551-1557 [doi]
• CLaC at SemEval-2023 Task 2: Comparing Span-Prediction and Sequence-Labeling Approaches for NERHarsh Verma, Sabine Bergler. 1558-1561 [doi]
• CL-UZH at SemEval-2023 Task 10: Sexism Detection through Incremental Fine-Tuning and Multi-Task Learning with Label DescriptionsJanis Goldzycher. 1562-1572 [doi]
• LCT-1 at SemEval-2023 Task 10: Pre-training and Multi-task Learning for Sexism Detection and ClassificationKonstantin Chernyshev, Ekaterina Garanina, Duygu Bayram, Qiankun Zheng, Lukas Edman. 1573-1581 [doi]
• DSHacker at SemEval-2023 Task 3: Genres and Persuasion Techniques Detection with Multilingual Data Augmentation through Machine Translation and Text GenerationArkadiusz Modzelewski, Witold Sosnowski, Magdalena Wilczynska, Adam Wierzbicki. 1582-1591 [doi]
• GPL at SemEval-2023 Task 1: WordNet and CLIP to Disambiguate ImagesShibingfeng Zhang, Shantanu Nath, Davide Mazzaccara. 1592-1597 [doi]
• Clemson NLP at SemEval-2023 Task 7: Applying GatorTron to Multi-Evidence Clinical NLIAhamed Alameldin, Ashton Williamson. 1598-1602 [doi]
• HW-TSC at SemEval-2023 Task 7: Exploring the Natural Language Inference Capabilities of ChatGPT and Pre-trained Language Model for Clinical TrialXiaofeng Zhao, Min Zhang 0005, Miaomiao Ma, Chang Su 0001, Yilun Liu, Minghan Wang, Xiaosong Qiao, Jiaxin Guo, Yinglu Li, Wenbing Ma. 1603-1608 [doi]
• Quintilian at SemEval-2023 Task 4: Grouped BERT for Multi-Label ClassificationAjay Narasimha Mopidevi, Hemanth Chenna. 1609-1612 [doi]
• CLaC at SemEval-2023 Task 3: Language Potluck RoBERTa Detects Online Persuasion Techniques in a Multilingual SetupNelson Filipe Costa, Bryce Hamilton, Leila Kosseim. 1613-1618 [doi]
• YNUNLP at SemEval-2023 Task 2: The Pseudo Twin Tower Pre-training Model for Chinese Named Entity RecognitionJing Li, Xiaobing Zhou. 1619-1624 [doi]
• Mr-wallace at SemEval-2023 Task 5: Novel Clickbait Spoiling Algorithm Using Natural Language ProcessingVineet Saravanan, Steven Wilson. 1625-1629 [doi]
• I2R at SemEval-2023 Task 7: Explanations-driven Ensemble Approach for Natural Language Inference over Clinical Trial DataSaravanan Rajamanickam, Kanagasabai Rajaraman. 1630-1635 [doi]
• NLUBot101 at SemEval-2023 Task 3: An Augmented Multilingual NLI Approach Towards Online News Persuasion Techniques DetectionGenglin Liu, Yi Fung 0001, Heng Ji. 1636-1643 [doi]
• Alexa at SemEval-2023 Task 10: Ensemble Modeling of DeBERTa and BERT Variations for Identifying Sexist TextMutaz Younes, Ali Kharabsheh, Mohammad Bani Younes. 1644-1649 [doi]
• Gallagher at SemEval-2023 Task 5: Tackling Clickbait with Seq2Seq ModelsTugay Bilgis, Nimet Beyza Bozdag, Steven Bethard. 1650-1655 [doi]
• Arizonans at SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis with XLM-TNimet Beyza Bozdag, Tugay Bilgis, Steven Bethard. 1656-1659 [doi]
• iLab at SemEval-2023 Task 11 Le-Wi-Di: Modelling Disagreement or Modelling Perspectives?Nikolas Vitsakis, Amit Parekh, Tanvi Dinkar, Gavin Abercrombie, Ioannis Konstas, Verena Rieser. 1660-1669 [doi]
• Chride at SemEval-2023 Task 10: Fine-tuned Deberta-V3 on Detection of Online Sexism with Hierarchical LossLetian Peng, Bosung Kim. 1670-1675 [doi]
• ODA_SRIB at SemEval-2023 Task 9: A Multimodal Approach for Improved Intimacy AnalysisPriyanshu Kumar, Amit Kumar, Jiban Prakash, Prabhat Lamba, Irfan Abdul. 1676-1680 [doi]
• THiFLY Research at SemEval-2023 Task 7: A Multi-granularity System for CTR-based Textual Entailment and Evidence RetrievalYuxuan Zhou, Ziyu Jin, Meiwei Li, Miao Li, Xien Liu, Xinxin You, Ji Wu 0002. 1681-1690 [doi]
• iREL at SemEval-2023 Task 10: Multi-level Training for Explainable Detection of Online SexismNirmal Manoj, Sagar Joshi, Ankita Maity, Vasudeva Varma. 1691-1696 [doi]
• DuluthNLP at SemEval-2023 Task 12: AfriSenti-SemEval: Sentiment Analysis for Low-resource African Languages using Twitter DatasetSamuel Akrah, Ted Pedersen. 1697-1701 [doi]
• Hitachi at SemEval-2023 Task 3: Exploring Cross-lingual Multi-task Strategies for Genre and Framing Detection in Online NewsYuta Koreeda, Ken-ichi Yokote, Hiroaki Ozaki, Atsuki Yamaguchi, Masaya Tsunokake, Yasuhiro Sogawa. 1702-1711 [doi]
• nancy-hicks-gribble at SemEval-2023 Task 5: Classifying and generating clickbait spoilers with RoBERTaJüri Keller, Nicolas Rehbach, Ibrahim Zafar. 1712-1717 [doi]
• Sakura at SemEval-2023 Task 2: Data Augmentation via TranslationAlberto Poncelas, Maksim Tkachenko, Ohnmar Htun. 1718-1722 [doi]
• Hitachi at SemEval-2023 Task 4: Exploring Various Task Formulations Reveals the Importance of Description Texts on Human ValuesMasaya Tsunokake, Atsuki Yamaguchi, Yuta Koreeda, Hiroaki Ozaki, Yasuhiro Sogawa. 1723-1735 [doi]
• DCU at SemEval-2023 Task 10: A Comparative Analysis of Encoder-only and Decoder-only Language Models with Insights into InterpretabilityKanishk Verma, Kolawole Adebayo, Joachim Wagner 0001, Brian Davis 0001. 1736-1750 [doi]
• PMCoders at SemEval-2023 Task 1: RAltCLIP: Use Relative AltCLIP Features to RankMohammad Javad Pirhadi, Motahhare Mirzaei, Mohammad Reza Mohammadi, Sauleh Eetemadi. 1751-1755 [doi]
• TohokuNLP at SemEval-2023 Task 5: Clickbait Spoiling via Simple Seq2Seq Generation and EnsemblingHiroto Kurita, Ikumi Ito, Hiroaki Funayama, Shota Sasaki, Shoji Moriya, Ye Mengyu, Kazuma Kokuta, Ryujin Hatakeyama, Shusaku Sone, Kentaro Inui. 1756-1762 [doi]
• Tübingen at SemEval-2023 Task 4: What Can Stance Tell? A Computational Study on Detecting Human Values behind ArgumentsFidan Can. 1763-1768 [doi]
• Stanford MLab at SemEval 2023 Task 7: Neural Methods for Clinical Trial Report NLIConner Takehana, Dylan Lim, Emirhan Kurtulus, Ramya Iyer, Ellie Tanimura, Pankhuri Aggarwal, Molly Cantillon, Alfred Yu, Sarosh Khan, Nathan Chi. 1769-1775 [doi]
• HEVS-TUW at SemEval-2023 Task 8: Ensemble of Language Models and Rule-based Classifiers for Claims Identification and PICO ExtractionAnjani Dhrangadhariya, Wojciech Kusa, Henning Müller, Allan Hanbury. 1776-1782 [doi]
• Jus Mundi at SemEval-2023 Task 6: Using a Frustratingly Easy Domain Adaption for a Legal Named Entity Recognition SystemLuis Adrián Cabrera-Diego, Akshita Gheewala. 1783-1790 [doi]
• Stanford MLab at SemEval-2023 Task 10: Exploring GloVe- and Transformer-Based Methods for the Explainable Detection of Online SexismAaron Wan, Hong Meng Yam, Swetha Yogeswaran, Beining Zhou, Hee Jung Choi, Trevor Chow. 1791-1797 [doi]
• CodeNLP at SemEval-2023 Task 2: Data Augmentation for Named Entity Recognition by Combination of Sequence Generation StrategiesMichal Marcinczuk, Wiktor Walentynowicz. 1798-1804 [doi]
• SKAM at SemEval-2023 Task 10: Linguistic Feature Integration and Continuous Pretraining for Online Sexism Detection and ClassificationMurali Manohar Kondragunta, Amber Chen, Karlo Slot, Sanne Weering, Tommaso Caselli. 1805-1817 [doi]
• ML Mob at SemEval-2023 Task 5: "Breaking News: Our Semi-Supervised and Multi-Task Learning Approach Spoils Clickbait"Hannah Sterz, Leonard Bongard, Tobias Werner 0004, Clifton Poth, Martin Hentschel 0002. 1818-1823 [doi]
• FiRC at SemEval-2023 Task 10: Fine-grained Classification of Online Sexism Content Using DeBERTaFadi Hassan, Abdessalam Bouchekif, Walid Aransa. 1824-1832 [doi]
• VBD_NLP at SemEval-2023 Task 2: Named Entity Recognition Systems Enhanced by BabelNet and WikipediaPhu Gia Hoang, Le-Thanh, Hai-Long Trieu. 1833-1843 [doi]
• Stephen Colbert at SemEval-2023 Task 5: Using Markup for Classifying ClickbaitSabrina Spreitzer, Hoai-Nam Tran. 1844-1848 [doi]
• UCAS-IIE-NLP at SemEval-2023 Task 12: Enhancing Generalization of Multilingual BERT for Low-resource Sentiment AnalysisDou Hu 0001, Lingwei Wei, Yaxin Liu, Wei Zhou, Songlin Hu. 1849-1857 [doi]
• Steno AI at SemEval-2023 Task 6: Rhetorical Role Labelling of Legal Documents using Transformers and Graph Neural NetworksAnshika Gupta, Shaz Furniturewala, Vijay Kumari, Yashvardhan Sharma. 1858-1862 [doi]
• Sebis at SemEval-2023 Task 7: A Joint System for Natural Language Inference and Evidence Retrieval from Clinical Trial ReportsJuraj Vladika, Florian Matthes. 1863-1870 [doi]
• Sren Kierkegaard at SemEval-2023 Task 4: Label-aware text classification using Natural Language InferenceIgnacio Talavera Cepeda, Amalie Brogaard Pauli, Ira Assent. 1871-1877 [doi]
• Billy-Batson at SemEval-2023 Task 5: An Information Condensation based System for Clickbait SpoilingAnubhav Sharma, Sagar Joshi, Tushar Abhishek, Radhika Mamidi, Vasudeva Varma. 1878-1889 [doi]
• Francis Wilde at SemEval-2023 Task 5: Clickbait Spoiler Type Identification with TransformersVijayasaradhi Indurthi, Vasudeva Varma. 1890-1893 [doi]
• DH-FBK at SemEval-2023 Task 10: Multi-Task Learning with Classifier Ensemble Agreement for Sexism DetectionElisa Leonardelli, Camilla Casula. 1894-1905 [doi]
• Jack-flood at SemEval-2023 Task 5: Hierarchical Encoding and Reciprocal Rank Fusion-Based System for Spoiler Classification and GenerationSujit Kumar, Aditya Sinha, Soumyadeep Jana, Rahul Mishra, Sanasam Ranbir Singh. 1906-1915 [doi]
• KingsmanTrio at SemEval-2023 Task 10: Analyzing the Effectiveness of Transfer Learning Models for Explainable Online Sexism DetectionFareen Tasneem, Tashin Hossain, Jannatun Naim. 1916-1920 [doi]
• SLT at SemEval-2023 Task 1: Enhancing Visual Word Sense Disambiguation through Image Text Retrieval using BLIPMohammadreza Molavi, Hossein Zeinali. 1921-1925 [doi]
• CAIR-NLP at SemEval-2023 Task 2: A Multi-Objective Joint Learning System for Named Entity RecognitionSangeeth N, Biswajit Paul, Chandramani Chaudhary. 1926-1935 [doi]
• BpHigh at SemEval-2023 Task 7: Can Fine-tuned Cross-encoders Outperform GPT-3.5 in NLI Tasks on Clinical Trial Data?Bhavish Pahwa, Bhavika Pahwa. 1936-1944 [doi]
• WADER at SemEval-2023 Task 9: A Weak-labelling framework for Data augmentation in tExt Regression TasksManan Suri, Aaryak Garg, Divya Chaudhary, Ian Gorton, Bijendra Kumar. 1945-1952 [doi]
• Arthur Caplan at SemEval-2023 Task 4: Enhancing Human Value Detection through Fine-tuned Pre-trained ModelsXianxian Song, Jinhui Zhao, Ruiqi Cao, Linchi Sui, Binyang Li, Tingyue Guan. 1953-1959 [doi]
• Ebhaam at SemEval-2023 Task 1: A CLIP-Based Approach for Comparing Cross-modality and Unimodality in Visual Word Sense DisambiguationZeinab Taghavi, Parsa Haghighi Naeini, Mohammad Ali Sadraei Javaheri, Soroush Gooran, Ehsaneddin Asgari, Hamid Reza Rabiee, Hossein Sameti. 1960-1964 [doi]
• SzegedAI at SemEval-2023 Task 1: Applying Quasi-Symbolic Representations in Visual Word Sense DisambiguationGábor Berend. 1965-1971 [doi]
• Attention at SemEval-2023 Task 10: Explainable Detection of Online Sexism (EDOS)Debashish Roy, Manish Shrivastava 0001. 1972-1977 [doi]
• Dragonfly_captain at SemEval-2023 Task 11: Unpacking Disagreement with Investigation of Annotator Demographics and Task DifficultyRuyuan Wan, Karla A. Badillo-Urquiola. 1978-1982 [doi]
• HausaNLP at SemEval-2023 Task 10: Transfer Learning, Synthetic Data and Side-information for Multi-level Sexism ClassificationSaminu Mohammad Aliyu, Idris Abdulmumin, Shamsuddeen Hassan Muhammad, Ibrahim Said Ahmad, Saheed Abdullahi Salahudeen, Aliyu Yusuf, Falalu Ibrahim Lawan. 1983-1987 [doi]
• CSECU-DSG at SemEval-2023 Task 4: Fine-tuning DeBERTa Transformer Model with Cross-fold Training and Multi-sample Dropout for Human Values IdentificationAbdul Aziz, Md. Akram Hossain, Abu Nowshed Chy. 1988-1994 [doi]
• SheffieldVeraAI at SemEval-2023 Task 3: Mono and Multilingual Approaches for News Genre, Topic and Persuasion Technique ClassificationBen Wu, Olesya Razuvayevskaya, Freddy Heppell, João Augusto Leite, Carolina Scarton, Kalina Bontcheva, Xingyi Song. 1995-2008 [doi]
• CKingCoder at SemEval-2023 Task 9: Multilingual Tweet Intimacy AnalysisHarish B, Naveen D, Prem Balasubramanian, Aarthi S. 2009-2013 [doi]
• DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity RecognitionZeqi Tan, Shen Huang, Zixia Jia, Jiong Cai, Yinghui Li, Weiming Lu 0001, Yueting Zhuang, Kewei Tu, Pengjun Xie, Fei Huang. 2014-2028 [doi]
• ROZAM at SemEval 2023 Task 9: Multilingual Tweet Intimacy AnalysisMohammadmostafa Rostamkhani, Ghazal Zamaninejad, Sauleh Eetemadi. 2029-2032 [doi]
• Prodicus at SemEval-2023 Task 4: Enhancing Human Value Detection with Data Augmentation and Fine-Tuned Language ModelsErfan Moosavi Monazzah, Sauleh Eetemadi. 2033-2038 [doi]
• Francis Bacon at SemEval-2023 Task 4: Ensembling BERT and GloVe for Value Identification in ArgumentsKenan Hasanaliyev, Kevin Li, Saanvi Chawla, Michael Nath, Rohan Sanda, Justin Wu, William Huang, Daniel Yang, Shane Mion, Kiran Bhat. 2039-2042 [doi]
• UAlberta at SemEval-2023 Task 1: Context Augmentation and Translation for Multilingual Visual Word Sense DisambiguationMichael Ogezi, Bradley Hauer, Talgat Omarov, Ning Shi, Grzegorz Kondrak. 2043-2051 [doi]
• iREL at SemEval-2023 Task 9: Improving understanding of multilingual Tweets using Translation-Based Augmentation and Domain Adapted Pre-Trained ModelsBhavyajeet Singh, Ankita Maity, Pavan Kandru, Aditya Hari, Vasudeva Varma. 2052-2057 [doi]
• Team TheSyllogist at SemEval-2023 Task 3: Language-Agnostic Framing Detection in Multi-Lingual Online News: A Zero-Shot Transfer ApproachOsama Mohammed Afzal, Preslav Nakov. 2058-2061 [doi]
• Tenzin-Gyatso at SemEval-2023 Task 4: Identifying Human Values behind Arguments Using DeBERTaPavan Kandru, Bhavyajeet Singh, Ankita Maity, Kancharla Aditya Hari, Vasudeva Varma. 2062-2066 [doi]
• MilaNLP at SemEval-2023 Task 10: Ensembling Domain-Adapted and Regularized Pretrained Language Models for Robust Sexism DetectionAmanda Cercas Curry, Giuseppe Attanasio, Debora Nozza, Dirk Hovy. 2067-2074 [doi]
• YNU-HPCC at SemEval-2023 Task 6: LEGAL-BERT Based Hierarchical BiLSTM with CRF for Rhetorical Roles PredictionYu Chen, You Zhang, Jin Wang, Xuejie Zhang. 2075-2081 [doi]
• UIRISC at SemEval-2023 Task 10: Explainable Detection of Online Sexism by Ensembling Fine-tuning Language ModelsTianyun Zhong, Runhui Song, Xunyuan Liu, Juelin Wang, Boya Wang, Binyang Li. 2082-2090 [doi]
• CSECU-DSG at SemEval-2023 Task 10: Exploiting Transformers with Stacked LSTM for the Explainable Detection of Online SexismAfrin Sultana, Radiathun Tasnia, Nabila Ayman, Abu Nowshed Chy. 2091-2099 [doi]
• John Boy Walton at SemEval-2023 Task 5: An Ensemble Approach to Spoiler Classification and Retrieval for Clickbait SpoilingMaksim Shmalts. 2100-2106 [doi]
• TeamEC at SemEval-2023 Task 4: Transformers vs. Low-Resource Dictionaries, Expert Dictionary vs. Learned DictionaryNicolas Stefanovitch, Bertrand De Longueville, Mario Scharfbillig. 2107-2111 [doi]
• CSECU-DSG at SemEval-2023 Task 6: Segmenting Legal Documents into Rhetorical Roles via Fine-tuned Transformer ArchitectureFareen Tasneem, Tashin Hossain, Jannatun Naim, Abu Nowshed Chy. 2112-2117 [doi]
• CAISA at SemEval-2023 Task 8: Counterfactual Data Augmentation for Mitigating Class Imbalance in Causal Claim IdentificationAkbar Karimi 0001, Lucie Flek. 2118-2123 [doi]
• ReDASPersuasion at SemEval-2023 Task 3: Persuasion Detection using Multilingual Transformers and Language Agnostic FeaturesFatima Zahra Qachfar, Rakesh M. Verma. 2124-2132 [doi]
• IREL at SemEval-2023 Task 11: User Conditioned Modelling for Toxicity Detection in Subjective TasksAnkita Maity, Pavan Kandru, Bhavyajeet Singh, Kancharla Aditya Hari, Vasudeva Varma. 2133-2136 [doi]
• Arguably at SemEval-2023 Task 11: Learning the disagreements using unsupervised behavioral clustering and language modelsGuneet Singh Kohli, Vinayak Tiwari. 2137-2142 [doi]
• MasonNLP+ at SemEval-2023 Task 8: Extracting Medical Questions, Experiences and Claims from Social Media using Knowledge-Augmented Pre-trained Language ModelsGiridhar Kaushik Ramachandran, Haritha Gangavarapu, Kevin Lybarger, Özlem Uzuner. 2143-2152 [doi]
• Howard University Computer Science at SemEval-2023 Task 12: A 2-Step System Design for Multilingual Sentiment Classification with Language IdentificationSaurav K. Aryal, Howard Prioleau. 2153-2159 [doi]
• SUT at SemEval-2023 Task 1: Prompt Generation for Visual Word Sense DisambiguationOmid Ghahroodi, Seyed Arshan Dalili, Sahel Mesforoush, Ehsaneddin Asgari. 2160-2163 [doi]
• Sina at SemEval-2023 Task 4: A Class-Token Attention-based Model for Human Value DetectionOmid Ghahroodi, Mohammad Ali Sadraei Javaheri, Doratossadat Dastgheib, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban, Hamid R. Rabiee, Ehsaneddin Asgari. 2164-2167 [doi]
• SinaAI at SemEval-2023 Task 3: A Multilingual Transformer Language Model-based Approach for the Detection of News Genre, Framing and Persuasion TechniquesAryan Sadeghi, Reza Alipour, Kamyar Taeb, Parimehr Morassafar, Nima Salemahim, Ehsaneddin Asgari. 2168-2173 [doi]
• RCLN at SemEval-2023 Task 1: Leveraging Stable Diffusion and Image Captions for Visual WSDAntonina Mijatovic, Davide Buscaldi, Ekaterina Borisova. 2174-2178 [doi]
• Friedrich Nietzsche at SemEval-2023 Task 4: Detection of Human Values from Text Using Machine LearningSruthi Sundharram, Abdul Mohammed, Sanidhya Sharma. 2179-2183 [doi]
• azaad@BND at SemEval-2023 Task 2: How to Go from a Simple Transformer Model to a Better Model to Get Better Results in Natural Language ProcessingReza Ahmadi, Shiva Arefi, Mohammad Jafarabad. 2184-2187 [doi]
• PingAnLifeInsurance at SemEval-2023 Task 10: Using Multi-Task Learning to Better Detect Online SexismMengyuan Zhou. 2188-2192 [doi]
• SemEval-2023 Task 10: Explainable Detection of Online SexismHannah Kirk, Wenjie Yin, Bertie Vidgen, Paul Röttger. 2193-2210 [doi]
• Ertim at SemEval-2023 Task 2: Fine-tuning of Transformer Language Models and External Knowledge Leveraging for NER in Farsi, English, French and ChineseKévin Deturck, Pierre Magistry, Bénédicte Diot-Parvaz Ahmad, Ilaine Wang, Damien Nouvel, Hugo Lafayette. 2211-2215 [doi]
• SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial DataMaël Jullien, Marco Valentino, Hannah Frost, Paul O'Regan, Donal Landers, André Freitas. 2216-2226 [doi]
• SemEval-2023 Task 1: Visual Word Sense DisambiguationAlessandro Raganato, Iacer Calixto, Asahi Ushio, José Camacho-Collados, Mohammad Taher Pilehvar. 2227-2234 [doi]
• SemEval-2023 Task 9: Multilingual Tweet Intimacy AnalysisJiaxin Pei, Vítor Silva 0003, Maarten W. Bos, Yozen Liu, Leonardo Neves, David Jurgens, Francesco Barbieri. 2235-2246 [doi]
• SemEval-2023 Task 2: Fine-grained Multilingual Named Entity Recognition (MultiCoNER 2)Besnik Fetahu, Sudipta Kar, ZhiYu Chen, Oleg Rokhlenko, Shervin Malmasi. 2247-2265 [doi]
• SemEval-2023 Task 8: Causal Medical Claim Identification and Related PIO Frame Extraction from Social Media PostsVivek Khetan, Somin Wadhwa, Byron C. Wallace, Silvio Amir. 2266-2274 [doi]
• SemEval-2023 Task 5: Clickbait SpoilingMaik Fröbe, Benno Stein 0001, Tim Gollub, Matthias Hagen, Martin Potthast. 2275-2286 [doi]
• SemEval-2023 Task 4: ValueEval: Identification of Human Values Behind ArgumentsJohannes Kiesel, Milad Alshomary, Nailia Mirzakhmedova, Maximilian Heinrich, Nicolas Handke, Henning Wachsmuth, Benno Stein 0001. 2287-2303 [doi]
• SemEval-2023 Task 11: Learning with Disagreements (LeWiDi)Elisa Leonardelli, Gavin Abercrombie, Dina Almanea, Valerio Basile, Tommaso Fornaciari, Barbara Plank, Verena Rieser, Alexandra Uma, Massimo Poesio. 2304-2318 [doi]
• SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval)Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Seid Muhie Yimam, David Ifeoluwa Adelani, Ibrahim Said Ahmad, Nedjma Ousidhoum, Abinew Ali Ayele, Saif M. Mohammad, Meriem Beloucif, Sebastian Ruder. 2319-2337 [doi]
• ITTC at SemEval 2023-Task 7: Document Retrieval and Sentence Similarity for Evidence Retrieval in Clinical Trial DataRahmad Mahendra, Damiano Spina, Karin Verspoor. 2338-2342 [doi]
• SemEval-2023 Task 3: Detecting the Category, the Framing, and the Persuasion Techniques in Online News in a Multi-lingual SetupJakub Piskorski, Nicolas Stefanovitch, Giovanni Da San Martino, Preslav Nakov. 2343-2361 [doi]
• SemEval-2023 Task 6: LegalEval - Understanding Legal TextsAshutosh Modi, Prathamesh Kalamkar, Saurabh Karn, Aman Tiwari, Abhinav Joshi, Sai Kiran Tanikella, Shouvik Kumar Guha, Sachin Malhan, Vivek Raghavan. 2362-2374 [doi]