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Shabnam Tafreshi
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2020 – today
- 2024
- [c8]Saranya Krishnamoorthy, Ayush Singh, Shabnam Tafreshi:
LLM-Based Section Identifiers Excel on Open Source but Stumble in Real World Applications. ClinicalNLP@NAACL 2024: 258-270 - [c7]Salvatore Giorgi, João Sedoc, Valentin Barrière, Shabnam Tafreshi:
Findings of WASSA 2024 Shared Task on Empathy and Personality Detection in Interactions. WASSA 2024: 369-379 - [e4]Orphée De Clercq, Valentin Barrière, Jeremy Barnes, Roman Klinger, João Sedoc, Shabnam Tafreshi:
Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis, WASSA 2024, Bangkok, Thailand, August 15, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-156-8 [contents] - [i6]Shubham Vatsal, Ayush Singh, Shabnam Tafreshi:
Can GPT Improve the State of Prior Authorization via Guideline Based Automated Question Answering? CoRR abs/2402.18419 (2024) - [i5]Shabnam Tafreshi, Shubham Vatsal, Mona T. Diab:
Emotion Classification in Low and Moderate Resource Languages. CoRR abs/2402.18424 (2024) - [i4]Saranya Krishnamoorthy, Ayush Singh, Shabnam Tafreshi:
LLM-Based Section Identifiers Excel on Open Source but Stumble in Real World Applications. CoRR abs/2404.16294 (2024) - 2023
- [c6]Valentin Barrière, João Sedoc, Shabnam Tafreshi, Salvatore Giorgi:
Findings of WASSA 2023 Shared Task on Empathy, Emotion and Personality Detection in Conversation and Reactions to News Articles. WASSA@ACL 2023: 511-525 - 2022
- [c5]Valentin Barrière
, Shabnam Tafreshi, João Sedoc, Sawsan Alqahtani:
WASSA 2022 Shared Task: Predicting Empathy, Emotion and Personality in Reaction to News Stories. WASSA@ACL 2022: 214-227 - [e3]Shabnam Tafreshi, João Sedoc, Anna Rogers, Aleksandr Drozd, Anna Rumshisky, Arjun R. Akula:
Proceedings of the Third Workshop on Insights from Negative Results in NLP, Insights@ACL 2022, Dublin, Ireland, May 26, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-40-7 [contents] - [e2]Jeremy Barnes, Orphée De Clercq, Valentin Barrière, Shabnam Tafreshi, Sawsan Alqahtani, João Sedoc, Roman Klinger, Alexandra Balahur:
Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, WASSA@ACL 2022, Dublin, Ireland, May 26, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-52-0 [contents] - [i3]Damilola Omitaomu, Shabnam Tafreshi, Tingting Liu, Sven Buechel, Chris Callison-Burch, Johannes C. Eichstaedt, Lyle H. Ungar, João Sedoc:
Empathic Conversations: A Multi-level Dataset of Contextualized Conversations. CoRR abs/2205.12698 (2022) - 2021
- [c4]Shabnam Tafreshi, Orphée De Clercq, Valentin Barrière, Sven Buechel, João Sedoc, Alexandra Balahur:
WASSA 2021 Shared Task: Predicting Empathy and Emotion in Reaction to News Stories. WASSA@EACL 2021: 92-104 - [e1]Orphée De Clercq, Alexandra Balahur, João Sedoc, Valentin Barrière, Shabnam Tafreshi, Sven Buechel, Véronique Hoste:
Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA@EACL 2021, Online, April 19, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-18-3 [contents]
2010 – 2019
- 2019
- [j1]Halil Kilicoglu, Zeshan Peng, Shabnam Tafreshi, Tung Tran, Graciela Rosemblat, Jodi Schneider
Confirm or refute?: A comparative study on citation sentiment classification in clinical research publications. J. Biomed. Informatics 91 (2019) - [c3]Shabnam Tafreshi, Mona T. Diab:
GWU NLP Lab at SemEval-2019 Task 3 : EmoContext: Effectiveness ofContextual Information in Models for Emotion Detection inSentence-level at Multi-genre Corpus. SemEval@NAACL-HLT 2019: 230-235 - [i2]Aditi Chaudhary, Siddharth Dalmia, Junjie Hu, Xinjian Li, Austin Matthews, Aldrian Obaja Muis, Naoki Otani, Shruti Rijhwani, Zaid Sheikh, Nidhi Vyas, Xinyi Wang, Jiateng Xie, Ruochen Xu, Chunting Zhou, Peter J. Jansen, Yiming Yang, Lori S. Levin, Florian Metze, Teruko Mitamura, David R. Mortensen, Graham Neubig, Eduard H. Hovy, Alan W. Black, Jaime G. Carbonell, Graham Horwood, Shabnam Tafreshi, Mona T. Diab, Efsun Sarioglu Kayi, Noura Farra, Kathleen R. McKeown:
The ARIEL-CMU Systems for LoReHLT18. CoRR abs/1902.08899 (2019) - [i1]Shabnam Tafreshi, Mona T. Diab:
GWU NLP Lab at SemEval-2019 Task 3: EmoContext: Effective Contextual Information in Models for Emotion Detection in Sentence-level in a Multigenre Corpus. CoRR abs/1905.09439 (2019) - 2018
- [c2]Shabnam Tafreshi, Mona T. Diab:
Emotion Detection and Classification in a Multigenre Corpus with Joint Multi-Task Deep Learning. COLING 2018: 2905-2913 - [c1]Shabnam Tafreshi, Mona T. Diab:
Sentence and Clause Level Emotion Annotation, Detection, and Classification in a Multi-Genre Corpus. LREC 2018
Coauthor Index
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