Table of Contents

• Mind the data gap(s): Investigating power in speech and language datasetsNina Markl. 1-12 [doi]
• Regex in a Time of Deep Learning: The Role of an Old Technology in Age Discrimination Detection in Job AdvertisementsAnna Pillar, Kyrill Poelmans, Martha Larson. 13-18 [doi]
• Doing not Being: Concrete Language as a Bridge from Language Technology to Ethnically Inclusive Job AdsJetske Adams, Kyrill Poelmans, Iris Hendrickx, Martha Larson. 19-25 [doi]
• Measuring Harmful Sentence Completion in Language Models for LGBTQIA+ IndividualsDebora Nozza, Federico Bianchi, Anne Lauscher, Dirk Hovy. 26-34 [doi]
• Using BERT Embeddings to Model Word Importance in Conversational Transcripts for Deaf and Hard of Hearing UsersAkhter Al Amin, Saad Hassan, Cecilia O. Alm, Matt Huenerfauth. 35-40 [doi]
• Detoxifying Language Models with a Toxic CorpusYoon A. Park, Frank Rudzicz. 41-46 [doi]
• Inferring Gender: A Scalable Methodology for Gender Detection with Online Lexical DatabasesMarion Bartl, Susan Leavy. 47-58 [doi]
• Debiasing Pre-Trained Language Models via Efficient Fine-TuningMichael Gira, Ruisu Zhang, Kangwook Lee 0001. 59-69 [doi]
• Disambiguation of morpho-syntactic features of African American English - the case of habitual beHarrison Santiago, Joshua L. Martin, Sarah Moeller, Kevin Tang. 70-75 [doi]
• Behind the Mask: Demographic bias in name detection for PII maskingCourtney Mansfield, Amandalynne Paullada, Kristen Howell. 76-89 [doi]
• Mapping the Multilingual Margins: Intersectional Biases of Sentiment Analysis Systems in English, Spanish, and ArabicAntónio Câmara, Nina Taneja, Tamjeed Azad, Emily Allaway, Richard S. Zemel. 90-106 [doi]
• Monte Carlo Tree Search for Interpreting Stress in Natural LanguageKyle Swanson, Joy Hsu, Mirac Suzgun. 107-119 [doi]
• IIITSurat@LT-EDI-ACL2022: Hope Speech Detection using Machine LearningPradeep Kumar Roy, Snehaan Bhawal, Abhinav Kumar, Bharathi Raja Chakravarthi. 120-126 [doi]
• The Best of both Worlds: Dual Channel Language modeling for Hope Speech Detection in low-resourced KannadaAdeep Hande, Siddhanth U. Hegde, Sangeetha Sivanesan, Ruba Priyadharshini, Bharathi Raja Chakravarthi. 127-135 [doi]
• NYCU_TWD@LT-EDI-ACL2022: Ensemble Models with VADER and Contrastive Learning for Detecting Signs of Depression from Social MediaWei-Yao Wang, Yu-Chien Tang, Wei-Wei Du, Wen-Chih Peng. 136-139 [doi]
• UMUTeam@LT-EDI-ACL2022: Detecting homophobic and transphobic comments in TamilJosé Antonio García-Díaz, Camilo Caparrós-Laiz, Rafael Valencia-García. 140-144 [doi]
• UMUTeam@LT-EDI-ACL2022: Detecting Signs of Depression from textJosé Antonio García-Díaz, Rafael Valencia-García. 145-148 [doi]
• bitsa_nlp@LT-EDI-ACL2022: Leveraging Pretrained Language Models for Detecting Homophobia and Transphobia in Social Media CommentsVitthal Bhandari, Poonam Goyal. 149-154 [doi]
• ABLIMET @LT-EDI-ACL2022: A Roberta based Approach for Homophobia/Transphobia Detection in Social MediaAbulimiti Maimaitituoheti. 155-160 [doi]
• MUCIC@LT-EDI-ACL2022: Hope Speech Detection using Data Re-Sampling and 1D Conv-LSTMAnusha Gowda, Fazlourrahman Balouchzahi, Hosahalli Lakshmaiah Shashirekha, Grigori Sidorov. 161-166 [doi]
• DeepBlues@LT-EDI-ACL2022: Depression level detection modelling through domain specific BERT and short text Depression classifiersNawshad Farruque, Osmar Zaïane, Randy Goebel, Sudhakar Sivapalan. 167-171 [doi]
• SSN_ARMM@ LT-EDI -ACL2022: Hope Speech Detection for Equality, Diversity, and Inclusion Using ALBERT modelPraveenkumar Vijayakumar, Prathyush S, Aravind P, Angel Suseelan, Rajalakshmi Sivanaiah, S. Milton Rajendram, T. T. Mirnalinee. 172-176 [doi]
• SUH_ASR@LT-EDI-ACL2022: Transformer based Approach for Speech Recognition for Vulnerable Individuals in TamilSuhasini S, Bharathi B. 177-182 [doi]
• LPS@LT-EDI-ACL2022: An Ensemble Approach about Hope Speech DetectionYue Zhu. 183-189 [doi]
• CURAJ_IIITDWD@LT-EDI-ACL 2022: Hope Speech Detection in English YouTube Comments using Deep Learning TechniquesVanshita Jha, Ankit Mishra, Sunil Saumya. 190-195 [doi]
• SSN_MLRG3 @LT-EDI-ACL2022-Depression Detection System from Social Media Text using Transformer ModelsSarika Esackimuthu, Shruthi Hariprasad, Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton Rajendram, T. T. Mirnalinee. 196-199 [doi]
• BERT 4EVER@LT-EDI-ACL2022-Detecting signs of Depression from Social Media: Detecting Depression in Social Media using Prompt-Learning and Word-Emotion ClusterXiaotian Lin, Yingwen Fu, Ziyu Yang, Nankai Lin, Shengyi Jiang. 200-205 [doi]
• CIC@LT-EDI-ACL2022: Are transformers the only hope? Hope speech detection for Spanish and English commentsFazlourrahman Balouchzahi, Sabur Butt, Grigori Sidorov, Alexander F. Gelbukh. 206-211 [doi]
• scubeMSEC@LT-EDI-ACL2022: Detection of Depression using Transformer ModelsSivamanikandan S, Santhosh V, Sanjaykumar N, Jerin Mahibha C, Thenmozhi Durairaj. 212-217 [doi]
• SSNCSE_NLP@LT-EDI-ACL2022: Hope Speech Detection for Equality, Diversity and Inclusion using sentence transformersBharathi B, Dhanya Srinivasan, Josephine Varsha, Thenmozhi Durairaj, Senthil Kumar B. 218-222 [doi]
• SOA_NLP@LT-EDI-ACL2022: An Ensemble Model for Hope Speech Detection from YouTube CommentsAbhinav Kumar, Sunil Saumya, Pradeep Roy. 223-228 [doi]
• IIT Dhanbad @LT-EDI-ACL2022- Hope Speech Detection for Equality, Diversity, and InclusionVishesh Gupta, Ritesh Kumar, Rajendra Pamula. 229-233 [doi]
• IISERB@LT-EDI-ACL2022: A Bag of Words and Document Embeddings Based Framework to Identify Severity of Depression Over Social MediaTanmay Basu. 234-238 [doi]
• SSNCSE_NLP@LT-EDI-ACL2022: Homophobia/Transphobia Detection in Multiple Languages using SVM Classifiers and BERT-based TransformersKrithika Swaminathan, Bharathi B, Gayathri G. L, Hrishik Sampath. 239-244 [doi]
• KUCST@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media TextManex Agirrezabal, Janek Amann. 245-250 [doi]
• E8-IJS@LT-EDI-ACL2022 - BERT, AutoML and Knowledge-graph backed Detection of DepressionIlija Tavchioski, Boshko Koloski, Blaz Skrlj, Senja Pollak. 251-257 [doi]
• Nozza@LT-EDI-ACL2022: Ensemble Modeling for Homophobia and Transphobia DetectionDebora Nozza. 258-264 [doi]
• KADO@LT-EDI-ACL2022: BERT-based Ensembles for Detecting Signs of Depression from Social Media TextMorteza Janatdoust, Fatemeh Ehsani-Besheli, Hossein Zeinali. 265-269 [doi]
• Sammaan@LT-EDI-ACL2022: Ensembled Transformers Against Homophobia and TransphobiaIshan Sanjeev Upadhyay, Kv Aditya Srivatsa, Radhika Mamidi. 270-275 [doi]
• OPI@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text using RoBERTa Pre-trained Language ModelsRafal Poswiata, Michal Perelkiewicz. 276-282 [doi]
• FilipN@LT-EDI-ACL2022-Detecting signs of Depression from Social Media: Examining the use of summarization methods as data augmentation for text classificationFilip Nilsson, György Kovács. 283-286 [doi]
• NAYEL @LT-EDI-ACL2022: Homophobia/Transphobia Detection for Equality, Diversity, and Inclusion using SVMNsrin Ashraf, Mohamed Taha, Ahmed Abd El-Fattah, Hamada A. Nayel. 287-290 [doi]
• giniUs @LT-EDI-ACL2022: Aasha: Transformers based Hope-EDIHarshul Surana, Basavraj Chinagundi. 291-295 [doi]
• SSN_MLRG1@LT-EDI-ACL2022: Multi-Class Classification using BERT models for Detecting Depression Signs from Social Media TextKarun Anantharaman, Angel Suseelan, Rajalakshmi Sivanaiah, Saritha Madhavan, Sakaya Milton Rajendram. 296-300 [doi]
• DepressionOne@LT-EDI-ACL2022: Using Machine Learning with SMOTE and Random UnderSampling to Detect Signs of Depression on Social Media TextSuman Dowlagar, Radhika Mamidi. 301-305 [doi]
• LeaningTower@LT-EDI-ACL2022: When Hope and Hate CollideArianna Muti, Marta Marchiori Manerba, Katerina Korre, Alberto Barrón-Cedeño. 306-311 [doi]
• MUCS@Text-LT-EDI@ACL 2022: Detecting Sign of Depression from Social Media Text using Supervised Learning ApproachAsha Hegde, Sharal Coelho, Ahmad Elyas Dashti, Hosahalli Lakshmaiah Shashirekha. 312-316 [doi]
• SSNCSE_NLP@LT-EDI-ACL2022: Speech Recognition for Vulnerable Individuals in Tamil using pre-trained XLSR modelsDhanya Srinivasan, Bharathi B, Thenmozhi Durairaj, Senthil Kumar B. 317-320 [doi]
• IDIAP_TIET@LT-EDI-ACL2022 : Hope Speech Detection in Social Media using Contextualized BERT with Attention MechanismDeepanshu Khanna, Muskaan Singh, Petr Motlícek. 321-325 [doi]
• SSN@LT-EDI-ACL2022: Transfer Learning using BERT for Detecting Signs of Depression from Social Media TextsAdarsh S., Betina Antony. 326-330 [doi]
• Findings of the Shared Task on Detecting Signs of Depression from Social MediaKayalvizhi S, Thenmozhi Durairaj, Bharathi Raja Chakravarthi, Jerin Mahibha C. 331-338 [doi]
• Findings of the Shared Task on Speech Recognition for Vulnerable Individuals in TamilBharathi B, Bharathi Raja Chakravarthi, Subalalitha Chinnaudayar Navaneethakrishnan, Sripriya N, Arunaggiri Pandian, Swetha Valli. 339-345 [doi]
• DLRG@LT-EDI-ACL2022: Detecting signs of Depression from Social Media using XGBoost MethodHerbert Sharen, Ratnavel Rajalakshmi. 346-349 [doi]
• IDIAP Submission@LT-EDI-ACL2022 : Hope Speech Detection for Equality, Diversity and InclusionMuskaan Singh, Petr Motlícek. 350-355 [doi]
• IDIAP Submission@LT-EDI-ACL2022: Homophobia/Transphobia Detection in social media commentsMuskaan Singh, Petr Motlícek. 356-361 [doi]
• IDIAP Submission@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media TextMuskaan Singh, Petr Motlícek. 362-368 [doi]
• Overview of The Shared Task on Homophobia and Transphobia Detection in Social Media CommentsBharathi Raja Chakravarthi, Ruba Priyadharshini, Thenmozhi Durairaj, John P. McCrae, Paul Buitelaar, Prasanna Kumar Kumaresan, Rahul Ponnusamy. 369-377 [doi]
• Overview of the Shared Task on Hope Speech Detection for Equality, Diversity, and InclusionBharathi Raja Chakravarthi, Vigneshwaran Muralidaran, Ruba Priyadharshini, Subalalitha Chinnaudayar Navaneethakrishnan, John P. McCrae, Miguel Ángel García, Salud María Jiménez Zafra, Rafael Valencia-García, Prasanna Kumar Kumaresan, Rahul Ponnusamy, Daniel García-Baena, José Antonio García-Díaz. 378-388 [doi]