Workshop on Language Technology for Equality, Diversity, Inclusion 2022: all accepted papers
- OPI@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text using RoBERTa Pre-trained Language Models ↗Rafał Poświata, Michał Perełkiewicz56 citations
- Measuring Harmful Sentence Completion in Language Models for LGBTQIA+ Individuals ↗Debora Nozza, Federico Bianchi, Anne Lauscher et al.44 citations
- Findings of the Shared Task on Speech Recognition for Vulnerable Individuals in Tamil ↗Bharathi B, Bharathi Raja Chakravarthi, Subalalitha Cn et al.43 citations
- Findings of the Shared Task on Detecting Signs of Depression from Social Media ↗Kayalvizhi S, Thenmozhi Durairaj, Bharathi Raja Chakravarthi et al.35 citations
- Debiasing Pre-Trained Language Models via Efficient Fine-Tuning ↗Michael Gira, Ruisu Zhang, Kangwook Lee30 citations
- Overview of the Shared Task on Hope Speech Detection for Equality, Diversity, and Inclusion ↗Bharathi Raja Chakravarthi, Vigneshwaran Muralidaran, Ruba Priyadharshini et al.30 citations
- Mapping the Multilingual Margins: Intersectional Biases of Sentiment Analysis Systems in English, Spanish, and ArabicAntónio Câmara, Nina Taneja, Tamjeed Azad et al.19 citations · our summary
- Overview of The Shared Task on Homophobia and Transphobia Detection in Social Media Comments ↗Bharathi Raja Chakravarthi, Ruba Priyadharshini, Durairaj Thenmozhi et al.16 citations
- E8-IJS@LT-EDI-ACL2022 - BERT, AutoML and Knowledge-graph backed Detection of Depression ↗Ilija Tavchioski, Boshko Koloski, Blaž Škrlj et al.13 citations
- MUCIC@LT-EDI-ACL2022: Hope Speech Detection using Data Re-Sampling and 1D Conv-LSTM ↗Anusha Gowda, Fazlourrahman Balouchzahi, Hosahalli Shashirekha et al.13 citations
- scubeMSEC@LT-EDI-ACL2022: Detection of Depression using Transformer Models ↗Sivamanikandan S, Santhosh V, Sanjaykumar N et al.13 citations
- KADO@LT-EDI-ACL2022: BERT-based Ensembles for Detecting Signs of Depression from Social Media Text ↗Morteza Janatdoust, Fatemeh Ehsani-Besheli, Hossein Zeinali12 citations
- Nozza@LT-EDI-ACL2022: Ensemble Modeling for Homophobia and Transphobia Detection ↗Debora Nozza12 citations
- SOA_NLP@LT-EDI-ACL2022: An Ensemble Model for Hope Speech Detection from YouTube Comments ↗Abhinav Kumar, Sunil Saumya, Pradeep Roy12 citations
- CIC@LT-EDI-ACL2022: Are transformers the only hope? Hope speech detection for Spanish and English comments ↗Fazlourrahman Balouchzahi, Sabur Butt, Grigori Sidorov et al.11 citations
- NYCU_TWD@LT-EDI-ACL2022: Ensemble Models with VADER and Contrastive Learning for Detecting Signs of Depression from Social Media ↗Wei-Yao Wang, Yu-Chien Tang, Wei-Wei Du et al.11 citations
- SSN_ARMM@ LT-EDI -ACL2022: Hope Speech Detection for Equality, Diversity, and Inclusion Using ALBERT model ↗Praveenkumar Vijayakumar, Prathyush S, Aravind P et al.11 citations
- UMUTeam@LT-EDI-ACL2022: Detecting homophobic and transphobic comments in Tamil ↗José García-Díaz, Camilo Caparros-Laiz, Rafael Valencia-García11 citations
- ABLIMET @LT-EDI-ACL2022: A Roberta based Approach for Homophobia/Transphobia Detection in Social Media ↗Abulimiti Maimaitituoheti10 citations
- IIITSurat@LT-EDI-ACL2022: Hope Speech Detection using Machine Learning ↗Pradeep Roy, Snehaan Bhawal, Abhinav Kumar et al.10 citations
- SSN@LT-EDI-ACL2022: Transfer Learning using BERT for Detecting Signs of Depression from Social Media Texts ↗Adarsh S, Betina Antony10 citations
- bitsa_nlp@LT-EDI-ACL2022: Leveraging Pretrained Language Models for Detecting Homophobia and Transphobia in Social Media Comments ↗Vitthal Bhandari, Poonam Goyal10 citations
- DepressionOne@LT-EDI-ACL2022: Using Machine Learning with SMOTE and Random UnderSampling to Detect Signs of Depression on Social Media Text. ↗Suman Dowlagar, Radhika Mamidi9 citations
- LPS@LT-EDI-ACL2022:An Ensemble Approach about Hope Speech Detection ↗Yue Zhu9 citations
- SSNCSE_NLP@LT-EDI-ACL2022: Homophobia/Transphobia Detection in Multiple Languages using SVM Classifiers and BERT-based Transformers ↗Krithika Swaminathan, Bharathi B, Gayathri G L et al.9 citations
- MUCS@Text-LT-EDI@ACL 2022: Detecting Sign of Depression from Social Media Text using Supervised Learning Approach ↗Asha Hegde, Sharal Coelho, Ahmad Elyas Dashti et al.8 citations
- Mind the data gap(s): Investigating power in speech and language datasets ↗Nina Markl8 citations
- NAYEL @LT-EDI-ACL2022: Homophobia/Transphobia Detection for Equality, Diversity, and Inclusion using SVM ↗Nsrin Ashraf, Mohamed Taha, Ahmed Taha et al.8 citations
- Behind the Mask: Demographic bias in name detection for PII masking ↗Courtney Mansfield, Amandalynne Paullada, Kristen Howell7 citations
- IDIAP Submission@LT-EDI-ACL2022: Homophobia/Transphobia Detection in social media comments ↗Muskaan Singh, Petr Motlicek7 citations
- IIT Dhanbad @LT-EDI-ACL2022- Hope Speech Detection for Equality, Diversity, and Inclusion ↗Vishesh Gupta, Ritesh Kumar, Rajendra Pamula7 citations
- SSN_MLRG3 @LT-EDI-ACL2022-Depression Detection System from Social Media Text using Transformer Models ↗Sarika Esackimuthu, Shruthi Hariprasad, Rajalakshmi Sivanaiah et al.7 citations
- DeepBlues@LT-EDI-ACL2022: Depression level detection modelling through domain specific BERT and short text Depression classifiers ↗Nawshad Farruque, Osmar Zaiane, Randy Goebel et al.6 citations
- IDIAP Submission@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text ↗Muskaan Singh, Petr Motlicek6 citations
- KUCST@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text ↗Manex Agirrezabal, Janek Amann6 citations
- SSN_MLRG1@LT-EDI-ACL2022: Multi-Class Classification using BERT models for Detecting Depression Signs from Social Media Text ↗Karun Anantharaman, Angel S, Rajalakshmi Sivanaiah et al.6 citations
- Sammaan@LT-EDI-ACL2022: Ensembled Transformers Against Homophobia and Transphobia ↗Ishan Sanjeev Upadhyay, Kv Aditya Srivatsa, Radhika Mamidi6 citations
- The Best of both Worlds: Dual Channel Language modeling for Hope Speech Detection in low-resourced Kannada ↗Adeep Hande, Siddhanth U Hegde, Sivanesan Sangeetha et al.6 citations
- BERT 4EVER@LT-EDI-ACL2022-Detecting signs of Depression from Social Media:Detecting Depression in Social Media using Prompt-Learning and Word-Emotion Cluster ↗Xiaotian Lin, Yingwen Fu, Ziyu Yang et al.5 citations
- DLRG@LT-EDI-ACL2022:Detecting signs of Depression from Social Media using XGBoost Method ↗Herbert Sharen, Ratnavel Rajalakshmi5 citations
- LeaningTower@LT-EDI-ACL2022: When Hope and Hate Collide ↗Arianna Muti, Marta Marchiori Manerba, Katerina Korre et al.5 citations
- Regex in a Time of Deep Learning: The Role of an Old Technology in Age Discrimination Detection in Job Advertisements ↗Anna Pillar, Kyrill Poelmans, Martha Larson5 citations
- SSNCSE_NLP@LT-EDI-ACL2022:Hope Speech Detection for Equality, Diversity and Inclusion using sentence transformers ↗Bharathi B, Dhanya Srinivasan, Josephine Varsha et al.5 citations
- CURAJ_IIITDWD@LT-EDI-ACL 2022: Hope Speech Detection in English YouTube Comments using Deep Learning TechniquesVanshita Jha, Ankit Mishra, Sunil Saumya4 citations · our summary
- Inferring Gender: A Scalable Methodology for Gender Detection with Online Lexical Databases ↗Marion Bartl, Susan Leavy4 citations
- giniUs @LT-EDI-ACL2022: Aasha: Transformers based Hope-EDI ↗Basavraj Chinagundi, Harshul Surana4 citations
- IDIAP_TIET@LT-EDI-ACL2022 : Hope Speech Detection in Social Media using Contextualized BERT with Attention Mechanism ↗Deepanshu Khanna, Muskaan Singh, Petr Motlicek3 citations
- SUH_ASR@LT-EDI-ACL2022: Transformer based Approach for Speech Recognition for Vulnerable Individuals in Tamil ↗Suhasini S, Bharathi B3 citations
- Using BERT Embeddings to Model Word Importance in Conversational Transcripts for Deaf and Hard of Hearing Users ↗Akhter Al Amin, Saad Hassan, Cecilia Alm et al.3 citations
- Detoxifying Language Models with a Toxic Corpus ↗Yoona Park, Frank Rudzicz2 citations
- Disambiguation of morpho-syntactic features of African American English – the case of habitual beHarrison Santiago, Joshua Martin, Sarah Moeller et al.2 citations · our summary
- SSNCSE_NLP@LT-EDI-ACL2022: Speech Recognition for Vulnerable Individuals in Tamil using pre-trained XLSR models ↗Dhanya Srinivasan, Bharathi B, Thenmozhi Durairaj et al.2 citations
- Doing not Being: Concrete Language as a Bridge from Language Technology to Ethnically Inclusive Job Ads ↗Jetske Adams, Kyrill Poelmans, Iris Hendrickx et al.1 citation
- UMUTeam@LT-EDI-ACL2022: Detecting Signs of Depression from text ↗José García-Díaz, Rafael Valencia-García1 citation
- IDIAP Submission@LT-EDI-ACL2022 : Hope Speech Detection for Equality, Diversity and Inclusion ↗Muskaan Singh, Petr Motlicek
- Monte Carlo Tree Search for Interpreting Stress in Natural Language ↗Kyle Swanson, Joy Hsu, Mirac Suzgun
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