


default search action
2nd LT-EDI 2022: Dublin, Ireland
- Bharathi Raja Chakravarthi, B. Bharathi, John P. McCrae, Manel Zarrouk, Kalika Bali, Paul Buitelaar:

Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion, LT-EDI 2022, Dublin, Ireland, May 27, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-43-8 - Nina Markl:

Mind the data gap(s): Investigating power in speech and language datasets. 1-12 - Anna Pillar, Kyrill Poelmans, Martha A. Larson:

Regex in a Time of Deep Learning: The Role of an Old Technology in Age Discrimination Detection in Job Advertisements. 13-18 - Jetske Adams, Kyrill Poelmans, Iris Hendrickx, Martha A. Larson:

Doing not Being: Concrete Language as a Bridge from Language Technology to Ethnically Inclusive Job Ads. 19-25 - Debora Nozza

, Federico Bianchi, Anne Lauscher
, Dirk Hovy
:
Measuring Harmful Sentence Completion in Language Models for LGBTQIA+ Individuals. 26-34 - Akhter Al Amin, Saad Hassan

, Cecilia O. Alm, Matt Huenerfauth:
Using BERT Embeddings to Model Word Importance in Conversational Transcripts for Deaf and Hard of Hearing Users. 35-40 - Yoon A. Park, Frank Rudzicz:

Detoxifying Language Models with a Toxic Corpus. 41-46 - Marion Bartl

, Susan Leavy
:
Inferring Gender: A Scalable Methodology for Gender Detection with Online Lexical Databases. 47-58 - Michael Gira, Ruisu Zhang, Kangwook Lee:

Debiasing Pre-Trained Language Models via Efficient Fine-Tuning. 59-69 - Harrison Santiago, Joshua L. Martin

, Sarah Moeller
, Kevin Tang:
Disambiguation of morpho-syntactic features of African American English - the case of habitual be. 70-75 - Courtney Mansfield, Amandalynne Paullada, Kristen Howell:

Behind the Mask: Demographic bias in name detection for PII masking. 76-89 - António Câmara, Nina Taneja, Tamjeed Azad

, Emily Allaway, Richard S. Zemel:
Mapping the Multilingual Margins: Intersectional Biases of Sentiment Analysis Systems in English, Spanish, and Arabic. 90-106 - Kyle Swanson, Joy Hsu, Mirac Suzgun:

Monte Carlo Tree Search for Interpreting Stress in Natural Language. 107-119 - Pradeep Kumar Roy, Snehaan Bhawal, Abhinav Kumar, Bharathi Raja Chakravarthi:

IIITSurat@LT-EDI-ACL2022: Hope Speech Detection using Machine Learning. 120-126 - Adeep Hande, Siddhanth U. Hegde, Sangeetha Sivanesan, Ruba Priyadharshini, Bharathi Raja Chakravarthi:

The Best of both Worlds: Dual Channel Language modeling for Hope Speech Detection in low-resourced Kannada. 127-135 - Wei-Yao Wang, Yu-Chien Tang, Wei-Wei Du, Wen-Chih Peng:

NYCU_TWD@LT-EDI-ACL2022: Ensemble Models with VADER and Contrastive Learning for Detecting Signs of Depression from Social Media. 136-139 - José Antonio García-Díaz, Camilo Caparrós-Laiz, Rafael Valencia-García:

UMUTeam@LT-EDI-ACL2022: Detecting homophobic and transphobic comments in Tamil. 140-144 - José Antonio García-Díaz, Rafael Valencia-García:

UMUTeam@LT-EDI-ACL2022: Detecting Signs of Depression from text. 145-148 - Vitthal Bhandari, Poonam Goyal:

bitsa_nlp@LT-EDI-ACL2022: Leveraging Pretrained Language Models for Detecting Homophobia and Transphobia in Social Media Comments. 149-154 - Abulimiti Maimaitituoheti:

ABLIMET @LT-EDI-ACL2022: A Roberta based Approach for Homophobia/Transphobia Detection in Social Media. 155-160 - Anusha Gowda, Fazlourrahman Balouchzahi, Hosahalli Lakshmaiah Shashirekha, Grigori Sidorov:

MUCIC@LT-EDI-ACL2022: Hope Speech Detection using Data Re-Sampling and 1D Conv-LSTM. 161-166 - Nawshad Farruque, Osmar Zaïane, Randy Goebel, Sudhakar Sivapalan:

DeepBlues@LT-EDI-ACL2022: Depression level detection modelling through domain specific BERT and short text Depression classifiers. 167-171 - Praveenkumar Vijayakumar, Prathyush S, Aravind P, Angel Suseelan, Rajalakshmi Sivanaiah

, S. Milton Rajendram, T. T. Mirnalinee:
SSN_ARMM@ LT-EDI -ACL2022: Hope Speech Detection for Equality, Diversity, and Inclusion Using ALBERT model. 172-176 - Suhasini S, Bharathi B:

SUH_ASR@LT-EDI-ACL2022: Transformer based Approach for Speech Recognition for Vulnerable Individuals in Tamil. 177-182 - Yue Zhu:

LPS@LT-EDI-ACL2022: An Ensemble Approach about Hope Speech Detection. 183-189 - Vanshita Jha, Ankit Mishra, Sunil Saumya:

CURAJ_IIITDWD@LT-EDI-ACL 2022: Hope Speech Detection in English YouTube Comments using Deep Learning Techniques. 190-195 - Sarika Esackimuthu, Shruthi Hariprasad, Rajalakshmi Sivanaiah

, Angel Deborah S, Sakaya Milton Rajendram, T. T. Mirnalinee:
SSN_MLRG3 @LT-EDI-ACL2022-Depression Detection System from Social Media Text using Transformer Models. 196-199 - Xiaotian Lin, Yingwen Fu, Ziyu Yang, Nankai Lin, Shengyi Jiang:

BERT 4EVER@LT-EDI-ACL2022-Detecting signs of Depression from Social Media: Detecting Depression in Social Media using Prompt-Learning and Word-Emotion Cluster. 200-205 - Fazlourrahman Balouchzahi, Sabur Butt

, Grigori Sidorov, Alexander F. Gelbukh:
CIC@LT-EDI-ACL2022: Are transformers the only hope? Hope speech detection for Spanish and English comments. 206-211 - Sivamanikandan S, Santhosh V, Sanjaykumar N, Jerin Mahibha C, Thenmozhi Durairaj:

scubeMSEC@LT-EDI-ACL2022: Detection of Depression using Transformer Models. 212-217 - Bharathi B, Dhanya Srinivasan, Josephine Varsha, Thenmozhi Durairaj, Senthil Kumar B

:
SSNCSE_NLP@LT-EDI-ACL2022: Hope Speech Detection for Equality, Diversity and Inclusion using sentence transformers. 218-222 - Abhinav Kumar, Sunil Saumya, Pradeep Roy:

SOA_NLP@LT-EDI-ACL2022: An Ensemble Model for Hope Speech Detection from YouTube Comments. 223-228 - Vishesh Gupta, Ritesh Kumar, Rajendra Pamula:

IIT Dhanbad @LT-EDI-ACL2022- Hope Speech Detection for Equality, Diversity, and Inclusion. 229-233 - Tanmay Basu:

IISERB@LT-EDI-ACL2022: A Bag of Words and Document Embeddings Based Framework to Identify Severity of Depression Over Social Media. 234-238 - Krithika Swaminathan, Bharathi B, Gayathri G. L, Hrishik Sampath:

SSNCSE_NLP@LT-EDI-ACL2022: Homophobia/Transphobia Detection in Multiple Languages using SVM Classifiers and BERT-based Transformers. 239-244 - Manex Agirrezabal, Janek Amann:

KUCST@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text. 245-250 - Ilija Tavchioski, Boshko Koloski, Blaz Skrlj, Senja Pollak:

E8-IJS@LT-EDI-ACL2022 - BERT, AutoML and Knowledge-graph backed Detection of Depression. 251-257 - Debora Nozza

:
Nozza@LT-EDI-ACL2022: Ensemble Modeling for Homophobia and Transphobia Detection. 258-264 - Morteza Janatdoust, Fatemeh Ehsani-Besheli, Hossein Zeinali:

KADO@LT-EDI-ACL2022: BERT-based Ensembles for Detecting Signs of Depression from Social Media Text. 265-269 - Ishan Sanjeev Upadhyay, KV Aditya Srivatsa

, Radhika Mamidi:
Sammaan@LT-EDI-ACL2022: Ensembled Transformers Against Homophobia and Transphobia. 270-275 - Rafal Poswiata, Michal Perelkiewicz:

OPI@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text using RoBERTa Pre-trained Language Models. 276-282 - Filip Nilsson, György Kovács:

FilipN@LT-EDI-ACL2022-Detecting signs of Depression from Social Media: Examining the use of summarization methods as data augmentation for text classification. 283-286 - Nsrin Ashraf

, Mohamed Taha, Ahmed Abd El-Fattah, Hamada A. Nayel
:
NAYEL @LT-EDI-ACL2022: Homophobia/Transphobia Detection for Equality, Diversity, and Inclusion using SVM. 287-290 - Harshul Surana, Basavraj Chinagundi:

giniUs @LT-EDI-ACL2022: Aasha: Transformers based Hope-EDI. 291-295 - Karun Anantharaman, Angel Suseelan, Rajalakshmi Sivanaiah

, Saritha Madhavan, Sakaya Milton Rajendram:
SSN_MLRG1@LT-EDI-ACL2022: Multi-Class Classification using BERT models for Detecting Depression Signs from Social Media Text. 296-300 - Suman Dowlagar, Radhika Mamidi:

DepressionOne@LT-EDI-ACL2022: Using Machine Learning with SMOTE and Random UnderSampling to Detect Signs of Depression on Social Media Text. 301-305 - Arianna Muti, Marta Marchiori Manerba, Katerina Korre, Alberto Barrón-Cedeño:

LeaningTower@LT-EDI-ACL2022: When Hope and Hate Collide. 306-311 - Asha Hegde, Sharal Coelho, Ahmad Elyas Dashti, Hosahalli Lakshmaiah Shashirekha:

MUCS@Text-LT-EDI@ACL 2022: Detecting Sign of Depression from Social Media Text using Supervised Learning Approach. 312-316 - Dhanya Srinivasan, Bharathi B, Thenmozhi Durairaj, Senthil Kumar B:

SSNCSE_NLP@LT-EDI-ACL2022: Speech Recognition for Vulnerable Individuals in Tamil using pre-trained XLSR models. 317-320 - Deepanshu Khanna, Muskaan Singh, Petr Motlícek:

IDIAP_TIET@LT-EDI-ACL2022 : Hope Speech Detection in Social Media using Contextualized BERT with Attention Mechanism. 321-325 - Adarsh S., Betina Antony:

SSN@LT-EDI-ACL2022: Transfer Learning using BERT for Detecting Signs of Depression from Social Media Texts. 326-330 - Kayalvizhi S, Thenmozhi Durairaj, Bharathi Raja Chakravarthi, Jerin Mahibha C:

Findings of the Shared Task on Detecting Signs of Depression from Social Media. 331-338 - Bharathi B, Bharathi Raja Chakravarthi, Subalalitha Chinnaudayar Navaneethakrishnan, Sripriya N, Arunaggiri Pandian

, Swetha Valli:
Findings of the Shared Task on Speech Recognition for Vulnerable Individuals in Tamil. 339-345 - Muskaan Singh, Petr Motlícek:

IDIAP Submission@LT-EDI-ACL2022 : Hope Speech Detection for Equality, Diversity and Inclusion. 350-355 - Muskaan Singh, Petr Motlícek:

IDIAP Submission@LT-EDI-ACL2022: Homophobia/Transphobia Detection in social media comments. 356-361 - Muskaan Singh, Petr Motlícek:

IDIAP Submission@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text. 362-368 - Bharathi Raja Chakravarthi, Ruba Priyadharshini, Thenmozhi Durairaj, John P. McCrae, Paul Buitelaar, Prasanna Kumar Kumaresan, Rahul Ponnusamy:

Overview of The Shared Task on Homophobia and Transphobia Detection in Social Media Comments. 369-377 - Bharathi 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:
Overview of the Shared Task on Hope Speech Detection for Equality, Diversity, and Inclusion. 378-388

manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.


Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID














