Workshop on Language Technology for Equality, Diversity, Inclusion 2022 — accepted papers
Workshop on Language Technology for Equality, Diversity, Inclusion 2022 is the 2022 edition of the Workshop on Language Technology for Equality, Diversity, Inclusion, held in Dublin, Ireland, May 2022 (publisher: Association for Computational Linguistics). The ACL Anthology lists 58 papers of it; our library holds 3 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
📍 Dublin, Ireland · 🗓 May 2022
Most cited 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
All accepted papers (58)
- 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
Papers with our summary in our library (3)
- Mapping the Multilingual Margins: Intersectional Biases of Sentiment Analysis Systems in English, Spanish, and ArabicWorkshop on Language Technology for Equality, Diversity, InclusionAntónio Câmara, Nina Taneja, Tamjeed Azad, et al.2022 · 33 citations
- Disambiguation of morpho-syntactic features of African American English – the case of habitual beWorkshop on Language Technology for Equality, Diversity, InclusionHarrison Santiago, Joshua Martin, Sarah Moeller, et al.2022 · 5 citations
- CURAJ_IIITDWD@LT-EDI-ACL 2022: Hope Speech Detection in English YouTube Comments using Deep Learning TechniquesWorkshop on Language Technology for Equality, Diversity, InclusionVanshita Jha, Ankit Mishra, Sunil Saumya2022 · 4 citations
Top topics
English (3)Sentiment & emotion (1)Multilingual & cross-lingual NLP (1)Semitic languages (1)
Fields
Computer Science (3)Arts and Humanities (1)Psychology (1)Social Sciences (1)
Top authors
🧑🔬Emily Allaway1 work here · 33 citations🧑🔬Richard S. Zemel1 work here · 33 citations🧑🔬Kevin Tang1 work here · 5 citations🧑🔬Sarah Moeller1 work here · 5 citations🧑🔬Sunil Saumya1 work here · 4 citations
Top institutions
🎓Goa UniversityTaleigao ·
India1 work here🎓University of FloridaGainesville ·
United States1 work here🎓Indian Institute of Information Technology DharwadDharwad ·
India1 work here🎓Heinrich Heine University DüsseldorfDüsseldorf ·
Germany1 work here🎓Columbia UniversityNew York ·
United States1 work here
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