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Viewing Publication 1 - 100 from 2702

2023

CAISA at SemEval-2023 Task 8: Counterfactual Data Augmentation for Mitigating Class Imbalance in Causal Claim IdentificationAkbar Karimi 0001, Lucie Flek. semeval 2023: 2118-2123 [doi]

DuluthNLP at SemEval-2023 Task 12: AfriSenti-SemEval: Sentiment Analysis for Low-resource African Languages using Twitter DatasetSamuel Akrah, Ted Pedersen. semeval 2023: 1697-1701 [doi]

Team JUSTR00 at SemEval-2023 Task 3: Transformers for News Articles ClassificationAhmed Al-Qarqaz, Malak Abdullah. semeval 2023: 1213-1216 [doi]

Clemson NLP at SemEval-2023 Task 7: Applying GatorTron to Multi-Evidence Clinical NLIAhamed Alameldin, Ashton Williamson. semeval 2023: 1598-1602 [doi]

JUST-KM at SemEval-2023 Task 7: Multi-evidence Natural Language Inference using Role-based Double Roberta-LargeKefah Alissa, Malak Abdullah. semeval 2023: 447-452 [doi]

JudithJeyafreeda at SemEval-2023 Task 10: Machine Learning for Explainable Detection of Online SexismJudith Jeyafreeda Andrew. semeval 2023: 1324-1328 [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. semeval 2023: 1518-1524 [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. semeval 2023: 869-877 [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. semeval 2023: 2153-2159 [doi]

CKingCoder at SemEval-2023 Task 9: Multilingual Tweet Intimacy AnalysisHarish B, Naveen D, Prem Balasubramanian, Aarthi S. semeval 2023: 2009-2013 [doi]

John-Arthur at SemEval-2023 Task 4: Fine-Tuning Large Language Models for Arguments ClassificationGeorgios Balikas. semeval 2023: 1428-1432 [doi]

Kb at SemEval-2023 Task 3: On Multitask Hierarchical BERT Base Neural Network for Multi-label Persuasion Techniques DetectionKatarzyna Baraniak, Marcin Sydow. semeval 2023: 1395-1400 [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. semeval 2023: 922-926 [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. semeval 2023: 1287-1292 [doi]

SAB at SemEval-2023 Task 2: Does Linguistic Information Aid in Named Entity Recognition?Siena Biales. semeval 2023: 1131-1137 [doi]

Gallagher at SemEval-2023 Task 5: Tackling Clickbait with Seq2Seq ModelsTugay Bilgis, Nimet Beyza Bozdag, Steven Bethard. semeval 2023: 1650-1655 [doi]

Arizonans at SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis with XLM-TNimet Beyza Bozdag, Tugay Bilgis, Steven Bethard. semeval 2023: 1656-1659 [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. semeval 2023: 1783-1790 [doi]

Tübingen at SemEval-2023 Task 4: What Can Stance Tell? A Computational Study on Detecting Human Values behind ArgumentsFidan Can. semeval 2023: 1763-1768 [doi]

RGAT at SemEval-2023 Task 2: Named Entity Recognition Using Graph Attention NetworkAbir Chakraborty. semeval 2023: 163-170 [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. semeval 2023: 1573-1581 [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. semeval 2023: 800-806 [doi]

NLP_CHRISTINE at SemEval-2023 Task 10: Utilizing Transformer Contextual Representations and Ensemble Learning for Sexism Detection on Social Media TextsChristina Christodoulou. semeval 2023: 595-602 [doi]

CLaC at SemEval-2023 Task 3: Language Potluck RoBERTa Detects Online Persuasion Techniques in a Multilingual SetupNelson Filipe Costa, Bryce Hamilton, Leila Kosseim. semeval 2023: 1613-1618 [doi]

OPI at SemEval-2023 Task 9: A Simple But Effective Approach to Multilingual Tweet Intimacy AnalysisSlawomir Dadas. semeval 2023: 150-154 [doi]

OPI at SemEval-2023 Task 1: Image-Text Embeddings and Multimodal Information Retrieval for Visual Word Sense DisambiguationSlawomir Dadas. semeval 2023: 155-162 [doi]

Sefamerve at SemEval-2023 Task 12: Semantic Evaluation of Rarely Studied LanguagesSelman Delil, Birol Kuyumcu. semeval 2023: 512-516 [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. semeval 2023: 2211-2215 [doi]

Epicurus at SemEval-2023 Task 4: Improving Prediction of Human Values behind Arguments by Leveraging Their DefinitionsChristian Fang, Qixiang Fang, Dong Nguyen 0002. semeval 2023: 221-229 [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. semeval 2023: 1260-1270 [doi]

eevvgg at SemEval-2023 Task 11: Offensive Language Classification with Rater-based InformationEwelina Gajewska. semeval 2023: 171-176 [doi]

Ginn-Khamov at SemEval-2023 Task 6, Subtask B: Legal Named Entities Extraction for Heterogenous DocumentsMichael Ginn, Roman Khamov. semeval 2023: 420-425 [doi]

tmn at SemEval-2023 Task 9: Multilingual Tweet Intimacy Detection Using XLM-T, Google Translate, and Ensemble LearningAnna Glazkova. semeval 2023: 1317-1323 [doi]

CL-UZH at SemEval-2023 Task 10: Sexism Detection through Incremental Fine-Tuning and Multi-Task Learning with Label DescriptionsJanis Goldzycher. semeval 2023: 1562-1572 [doi]

OPI PIB at SemEval-2023 Task 1: A CLIP-based Solution Paired with an Additional Word Context ExtensionMagorzata Grbowiec. semeval 2023: 482-487 [doi]

FiRC at SemEval-2023 Task 10: Fine-grained Classification of Online Sexism Content Using DeBERTaFadi Hassan, Abdessalam Bouchekif, Walid Aransa. semeval 2023: 1824-1832 [doi]

StFX-NLP at SemEval-2023 Task 4: Unsupervised and Supervised Approaches to Detecting Human Values in ArgumentsEthan Heavey, Milton King, James Hughes. semeval 2023: 205-211 [doi]

VBD_NLP at SemEval-2023 Task 2: Named Entity Recognition Systems Enhanced by BabelNet and WikipediaPhu Gia Hoang, Le-Thanh, Hai-Long Trieu. semeval 2023: 1833-1843 [doi]

DN at SemEval-2023 Task 12: Low-Resource Language Text Classification via Multilingual Pretrained Language Model Fine-tuningDaniil Homskiy, Narek Maloyan. semeval 2023: 1537-1541 [doi]

Noam Chomsky at SemEval-2023 Task 4: Hierarchical Similarity-aware Model for Human Value DetectionSumire Honda, Sebastian Wilharm. semeval 2023: 1359-1364 [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. semeval 2023: 629-637 [doi]

Minanto at SemEval-2023 Task 2: Fine-tuning XLM-RoBERTa for Named Entity Recognition on English DataAntonia Höfer, Mina Mottahedin. semeval 2023: 1127-1130 [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. semeval 2023: 995-1003 [doi]

NLP-Titan at SemEval-2023 Task 6: Identification of Rhetorical Roles Using Sequential Sentence ClassificationHarsh Kataria, Ambuje Gupta. semeval 2023: 1365-1370 [doi]

teamPN at SemEval-2023 Task 1: Visual Word Sense Disambiguation Using Zero-Shot MultiModal ApproachNikita Katyal, Pawan Rajpoot, Subhanandh Tamilarasu, Joy Mustafi. semeval 2023: 457-461 [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. semeval 2023: 365-378 [doi]

Uppsala University at SemEval-2023 Task12: Zero-shot Sentiment Classification for Nigerian Pidgin TweetsAnnika Kniele, Meriem Beloucif. semeval 2023: 1491-1497 [doi]

Arguably at SemEval-2023 Task 11: Learning the disagreements using unsupervised behavioral clustering and language modelsGuneet Singh Kohli, Vinayak Tiwari. semeval 2023: 2137-2142 [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. semeval 2023: 1542-1550 [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. semeval 2023: 638-643 [doi]

DH-FBK at SemEval-2023 Task 10: Multi-Task Learning with Classifier Ensemble Agreement for Sexism DetectionElisa Leonardelli, Camilla Casula. semeval 2023: 1894-1905 [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. semeval 2023: 549-555 [doi]

IUST_NLP at SemEval-2023 Task 10: Explainable Detecting Sexism with Transformers and Task-adaptive PretrainingHadiseh Mahmoudi. semeval 2023: 498-505 [doi]

TüReuth Legal at SemEval-2023 Task 6: Modelling Local and Global Structure of Judgements for Rhetorical Role PredictionHenrik Manegold, Leander Girrbach. semeval 2023: 262-269 [doi]

CodeNLP at SemEval-2023 Task 2: Data Augmentation for Named Entity Recognition by Combination of Sequence Generation StrategiesMichal Marcinczuk, Wiktor Walentynowicz. semeval 2023: 1798-1804 [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. semeval 2023: 1021-1029 [doi]

Clark Kent at SemEval-2023 Task 5: SVMs, Transformers, and Pixels for Clickbait SpoilingDragos-stefan Mihalcea, Sergiu Nisioi. semeval 2023: 1204-1212 [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. semeval 2023: 1582-1591 [doi]

SLT at SemEval-2023 Task 1: Enhancing Visual Word Sense Disambiguation through Image Text Retrieval using BLIPMohammadreza Molavi, Hossein Zeinali. semeval 2023: 1921-1925 [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. semeval 2023: 125-129 [doi]

ResearchTeam_HCN at SemEval-2023 Task 6: A knowledge enhanced transformers based legal NLP systemDhanachandra Ningthoujam, Pinal Patel, Rajkamal Kareddula, Ramanand Vangipuram. semeval 2023: 1245-1253 [doi]

KINLP at SemEval-2023 Task 12: Kinyarwanda Tweet Sentiment AnalysisAntoine Nzeyimana. semeval 2023: 718-723 [doi]

JUST_ONE at SemEval-2023 Task 10: Explainable Detection of Online Sexism (EDOS)Doaa Obeidat, Wala'a Shnaigat, Heba Nammas, Malak Abdullah. semeval 2023: 526-531 [doi]

DS at SemEval-2023 Task 10: Explaining Online Sexism using Transformer based ApproachMadisetty Padmavathi. semeval 2023: 1102-1106 [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. semeval 2023: 1936-1944 [doi]

Rahul Patil at SemEval-2023 Task 1: V-WSD: Visual Word Sense DisambiguationRahul Patil, Pinal Patel, Charin Patel, Mangal Verma. semeval 2023: 1271-1275 [doi]

Lauri Ingman at SemEval-2023 Task 4: A Chain Classifier for Identifying Human Values behind ArgumentsSpencer Paulissen, Caroline J. Wendt. semeval 2023: 193-198 [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. semeval 2023: 1476-1482 [doi]

shefnlp at SemEval-2023 Task 10: Compute-Efficient Category AdaptersThomas Pickard, Tyler Loakman, Mugdha Pandya. semeval 2023: 1069-1075 [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. semeval 2023: 1463-1469 [doi]

I2R at SemEval-2023 Task 7: Explanations-driven Ensemble Approach for Natural Language Inference over Clinical Trial DataSaravanan Rajamanickam, Kanagasabai Rajaraman. semeval 2023: 1630-1635 [doi]

UIO at SemEval-2023 Task 12: Multilingual fine-tuning for sentiment classification in low-resource LanguagesEgil Rønningstad. semeval 2023: 1054-1060 [doi]

IXA at SemEval-2023 Task 2: Baseline Xlm-Roberta-base ApproachEdgar Andres Santamaria. semeval 2023: 379-381 [doi]

HULAT at SemEval-2023 Task 9: Data Augmentation for Pre-trained Transformers Applied to Multilingual Tweet Intimacy AnalysisIsabel Segura-Bedmar. semeval 2023: 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. semeval 2023: 184-192 [doi]

John Boy Walton at SemEval-2023 Task 5: An Ensemble Approach to Spoiler Classification and Retrieval for Clickbait SpoilingMaksim Shmalts. semeval 2023: 2100-2106 [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. semeval 2023: 1154-1160 [doi]

Stephen Colbert at SemEval-2023 Task 5: Using Markup for Classifying ClickbaitSabrina Spreitzer, Hoai-Nam Tran. semeval 2023: 1844-1848 [doi]

PoSh at SemEval-2023 Task 10: Explainable Detection of Online SexismShruti Sriram, Padma Pooja Chandran, Shrijith M. R.. semeval 2023: 1276-1281 [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. semeval 2023: 1818-1823 [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. semeval 2023: 1217-1224 [doi]

University at Buffalo at SemEval-2023 Task 11: MASDA-Modelling Annotator Sensibilities through DisAggregationMichael Sullivan, Mohammed Yasin, Cassandra L. Jacobs. semeval 2023: 978-985 [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. semeval 2023: 2091-2099 [doi]

Friedrich Nietzsche at SemEval-2023 Task 4: Detection of Human Values from Text Using Machine LearningSruthi Sundharram, Abdul Mohammed, Sanidhya Sharma. semeval 2023: 2179-2183 [doi]

LRL_NC at SemEval-2023 Task 6: Sequential Sentence Classification for Legal Documents Using Topic Modeling FeaturesKushagri Tandon, Niladri Chatterjee. semeval 2023: 143-149 [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. semeval 2023: 136-142 [doi]

Brooke-English at SemEval-2023 Task 5: Clickbait SpoilingShirui Tang. semeval 2023: 64-76 [doi]

KingsmanTrio at SemEval-2023 Task 10: Analyzing the Effectiveness of Transfer Learning Models for Explainable Online Sexism DetectionFareen Tasneem, Tashin Hossain, Jannatun Naim. semeval 2023: 1916-1920 [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. semeval 2023: 2112-2117 [doi]

MarSan at SemEval-2023 Task 10: Can Adversarial Training with help of a Graph Convolutional Network Detect Explainable Sexism?Ehsan Tavan, Maryam Najafi. semeval 2023: 1011-1020 [doi]

VTCC-NER at SemEval-2023 Task 6: An Ensemble Pre-trained Language Models for Named Entity RecognitionQuang Minh Tran, Xuan-Dung Doan. semeval 2023: 415-419 [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. semeval 2023: 1736-1750 [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. semeval 2023: 693-699 [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. semeval 2023: 1791-1797 [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. semeval 2023: 1470-1475 [doi]

Tsingriver at SemEval-2023 Task 10: Labeled Data Augmentation in Consistency TrainingYehui Xu, Haiyan Ding. semeval 2023: 782-786 [doi]

Alexa at SemEval-2023 Task 10: Ensemble Modeling of DeBERTa and BERT Variations for Identifying Sexist TextMutaz Younes, Ali Kharabsheh, Mohammad Bani Younes. semeval 2023: 1644-1649 [doi]

GPL at SemEval-2023 Task 1: WordNet and CLIP to Disambiguate ImagesShibingfeng Zhang, Shantanu Nath, Davide Mazzaccara. semeval 2023: 1592-1597 [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. semeval 2023: 426-432 [doi]

PingAnLifeInsurance at SemEval-2023 Task 10: Using Multi-Task Learning to Better Detect Online SexismMengyuan Zhou. semeval 2023: 2188-2192 [doi]

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