Shabnam Tafreshi

According to our database, Shabnam Tafreshi authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Emotion Classification in Low and Moderate Resource Languages.

Shabnam Tafreshi, Shubham Vatsal, Mona T. Diab

CoRR, 2024

Can GPT Improve the State of Prior Authorization via Guideline Based Automated Question Answering?

Shubham Vatsal, Ayush Singh, Shabnam Tafreshi

CoRR, 2024

Findings of WASSA 2024 Shared Task on Empathy and Personality Detection in Interactions.

Salvatore Giorgi, João Sedoc, Valentin Barrière, Shabnam Tafreshi

Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, 2024

LLM-Based Section Identifiers Excel on Open Source but Stumble in Real World Applications.

Saranya Krishnamoorthy, Ayush Singh, Shabnam Tafreshi

Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

2023

Findings of WASSA 2023 Shared Task on Empathy, Emotion and Personality Detection in Conversation and Reactions to News Articles.

Valentin Barrière, João Sedoc, Shabnam Tafreshi, Salvatore Giorgi

Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, 2023

2022

Empathic Conversations: A Multi-level Dataset of Contextualized Conversations.

Damilola Omitaomu, Shabnam Tafreshi, Tingting Liu, Sven Buechel, Chris Callison-Burch, Johannes C. Eichstaedt, Lyle H. Ungar, João Sedoc

CoRR, 2022

WASSA 2022 Shared Task: Predicting Empathy, Emotion and Personality in Reaction to News Stories.

Valentin Barrière, Shabnam Tafreshi, João Sedoc, Sawsan Alqahtani

Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, 2022

2021

WASSA 2021 Shared Task: Predicting Empathy and Emotion in Reaction to News Stories.

Shabnam Tafreshi, Orphée De Clercq, Valentin Barrière, Sven Buechel, João Sedoc, Alexandra Balahur

Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, 2021

2019

Confirm or refute?: A comparative study on citation sentiment classification in clinical research publications.

Halil Kilicoglu, Zeshan Peng, Shabnam Tafreshi, Tung Tran, Graciela Rosemblat, Jodi Schneider

J. Biomed. Informatics, 2019

GWU NLP Lab at SemEval-2019 Task 3: EmoContext: Effective Contextual Information in Models for Emotion Detection in Sentence-level in a Multigenre Corpus.

Shabnam Tafreshi, Mona T. Diab

CoRR, 2019

The ARIEL-CMU Systems for LoReHLT18.

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

CoRR, 2019

GWU NLP Lab at SemEval-2019 Task 3 : EmoContext: Effectiveness ofContextual Information in Models for Emotion Detection inSentence-level at Multi-genre Corpus.

Shabnam Tafreshi, Mona T. Diab

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

2018

Sentence and Clause Level Emotion Annotation, Detection, and Classification in a Multi-Genre Corpus.

Shabnam Tafreshi, Mona T. Diab

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Emotion Detection and Classification in a Multigenre Corpus with Joint Multi-Task Deep Learning.

Shabnam Tafreshi, Mona T. Diab

Proceedings of the 27th International Conference on Computational Linguistics, 2018