Shabnam Tafreshi

According to our database1, Shabnam Tafreshi authored at least 12 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
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Links

On csauthors.net:

Bibliography

2024
Emotion Classification in Low and Moderate Resource Languages.
CoRR, 2024

Can GPT Improve the State of Prior Authorization via Guideline Based Automated Question Answering?
CoRR, 2024

2023
Findings of WASSA 2023 Shared Task on Empathy, Emotion and Personality Detection in Conversation and Reactions to News Articles.
Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, 2023

2022
Empathic Conversations: A Multi-level Dataset of Contextualized Conversations.
CoRR, 2022

WASSA 2022 Shared Task: Predicting Empathy, Emotion and Personality in Reaction to News Stories.
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.
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.
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.
CoRR, 2019

The ARIEL-CMU Systems for LoReHLT18.
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.
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.
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.
Proceedings of the 27th International Conference on Computational Linguistics, 2018


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