Dr. Shabnam Tafreshi's research interests are in computational semantic understanding across languages. Dr. Trafreshi is working working towards improving NLP models to better extract knowledge from the text by complementing NLP models with meaning constructs. Better models are needed for downstream tasks in text classification and knowledge extraction. In addition, her research is focused on methodologies for collecting and annotating quality data for building robust NLP models.
EDUCATION:
PhD in Computer Science, George Washington University
MS in Computer Science, George Washington University
BS in Computer Science, Azad University, Tehran, Iran
Papers
WASSA 2021 Shared Task: Predicting Empathy and Emotion in Reaction to News Stories, S. Tafreshi, O De Clercq, V Barriere, S Buechel, J Sedoc, A Balahur, Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, 2021
GWU NLP Lab at SemEval-2019 Task 3: EmoContext: Effectiveness of Contextual Information in Models for Emotion Detection in Sentence-level at Multi-genre Corpus, S. Tafreshi, M Diab, Proceedings of the 13th International Workshop on Semantic Evaluation, 230-235, 2019
The ARIEL-CMU Systems for LoReHLT18, CMU. CU, GWU joint work, arxiv 2019
Confirm or Refuse: A Comparative Study on Citation Sentiment Classification in Clinical Research Publications, H Kilicoglu, Z Penga, S Tafreshi, T Tran, G Rosemblat, J Schneider, Journal of Biomedical Informatics 2019
Confirm or Refuse: A Comparative Study on Citation Sentiment Classification in Clinical Research Publications, H Kilicoglu, Z Penga, S Tafreshi, T Tran, G Rosemblat, J Schneider, Journal of Biomedical Informatics 2019
Emotion Detection and Classification in Multigenre Corpus with Deep Multi-Task Learning Neural Networks, S. Tafreshi, M. Diab, COLING 2018
Sentence and Clause Level Emotion Annotation, Detection, and Classification in a Multi-Genre Corpus, S. Tafreshi, M. Diab, LREC 2018
Stakeholder-focused Rhetorical Moves: How to Address Multiple Audiences When Reporting Medical Randomized Control Trials, J Schneider, G Rosemblat, S Tafreshi, H Kilicoglu, Argumentation and Language Conference 2018
Rhetorical Moves and Audience Considerations in the Discussion Sections of Randomized Controlled Trials of Health Interventions, J Schneider, G Rosemblat, S Tafreshi, H Kilicoglu, 2nd European Conference on Argumentation: Argumentation and Inference 2017
Rhetorical Moves and Audience Considerations in the Discussion Sections of Randomized Controlled Trials of Health Interventions, J Schneider, G Rosemblat, S Tafreshi, H Kilicoglu, 2nd European Conference on Argumentation: Argumentation and Inference 2017