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2020 – today
- 2023
[c7]Steven Y. Feng, Vivek Khetan, Bogdan Sacaleanu, Anatole Gershman, Eduard H. Hovy:
CHARD: Clinical Health-Aware Reasoning Across Dimensions for Text Generation Models. EACL 2023: 313-327- [c6]Somin Wadhwa, Vivek Khetan, Silvio Amir, Byron C. Wallace:
RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media. EACL (Findings) 2023: 797 - [c5]Dheeraj Rajagopal, Vivek Khetan, Bogdan Sacaleanu, Anatole Gershman, Andrew E. Fano, Eduard H. Hovy:
Template Filling for Controllable Commonsense Reasoning. IJCNLP (Findings) 2023: 250-260 - [c4]Vivek Khetan, Somin Wadhwa, Byron C. Wallace, Silvio Amir:
SemEval-2023 Task 8: Causal Medical Claim Identification and Related PIO Frame Extraction from Social Media Posts. SemEval@ACL 2023: 2266-2274 - [i10]Devleena Das, Vivek Khetan:
DEFT: Data Efficient Fine-Tuning for Large Language Models via Unsupervised Core-Set Selection. CoRR abs/2310.16776 (2023) - 2022
- [c3]Vivek Khetan, Md Imbesat Hassan Rizvi, Jessica Huber, Paige Bartusiak, Bogdan Sacaleanu, Andrew E. Fano:
MIMICause: Representation and automatic extraction of causal relation types from clinical notes. ACL (Findings) 2022: 764-773 - [i9]Steven Y. Feng, Vivek Khetan, Bogdan Sacaleanu, Anatole Gershman, Eduard H. Hovy:
CHARD: Clinical Health-Aware Reasoning Across Dimensions for Text Generation Models. CoRR abs/2210.04191 (2022) - [i8]Somin Wadhwa, Vivek Khetan, Silvio Amir, Byron C. Wallace:
RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media. CoRR abs/2210.06331 (2022) - 2021
- [c2]Vivek Khetan, Roshni R. Ramnani, Mayuresh Anand, Shubhashis Sengupta
, Andrew E. Fano:
Causal BERT: Language Models for Causality Detection Between Events Expressed in Text. SAI (1) 2021: 965-980 - [i7]Vivek Khetan, K. M. Annervaz, Erin B. Wetherley, Elena Eneva, Shubhashis Sengupta, Andrew E. Fano:
Knowledge Graph Anchored Information-Extraction for Domain-Specific Insights. CoRR abs/2104.08936 (2021) - [i6]Vivek Khetan, Md Imbesat Hassan Rizvi, Jessica Huber, Paige Bartusiak, Bogdan Sacaleanu, Andrew E. Fano:
MIMICause : Defining, identifying and predicting types of causal relationships between biomedical concepts from clinical notes. CoRR abs/2110.07090 (2021) - [i5]Dheeraj Rajagopal, Vivek Khetan, Bogdan Sacaleanu, Anatole Gershman, Andrew E. Fano, Eduard H. Hovy:
Cross-Domain Reasoning via Template Filling. CoRR abs/2111.00539 (2021) - [i4]Adrian Ahne, Vivek Khetan, Xavier Tannier, Md Imbesat Hassan Rizvi, Thomas Czernichow, Francisco Orchard, Charline Bour, Andrew E. Fano, Guy Fagherazzi:
Identifying causal associations in tweets using deep learning: Use case on diabetes-related tweets from 2017-2021. CoRR abs/2111.01225 (2021) - 2020
- [i3]Vivek Khetan, Roshni R. Ramnani, Mayuresh Anand, Shubhashis Sengupta, Andrew E. Fano:
Causal-BERT : Language models for causality detection between events expressed in text. CoRR abs/2012.05453 (2020)
2010 – 2019
- 2019
- [c1]Soumyajit Gupta, Mücahid Kutlu, Vivek Khetan, Matthew Lease:
Correlation, Prediction and Ranking of Evaluation Metrics in Information Retrieval. ECIR (1) 2019: 636-651 - 2018
- [j1]Kezban Dilek Onal, Ye Zhang, Ismail Sengor Altingovde, Md. Mustafizur Rahman, Pinar Karagoz, Alex Braylan, Brandon Dang, Heng-Lu Chang, Henna Kim, Quinten McNamara, Aaron Angert, Edward Banner, Vivek Khetan, Tyler McDonnell, An Thanh Nguyen, Dan Xu, Byron C. Wallace, Maarten de Rijke, Matthew Lease:
Neural information retrieval: at the end of the early years. Inf. Retr. J. 21(2-3): 111-182 (2018) - [i2]Mücahid Kutlu, Vivek Khetan, Matthew Lease:
Correlation and Prediction of Evaluation Metrics in Information Retrieval. CoRR abs/1802.00323 (2018) - 2016
- [i1]Ye Zhang, Md. Mustafizur Rahman, Alex Braylan, Brandon Dang, Heng-Lu Chang, Henna Kim, Quinten McNamara, Aaron Angert, Edward Banner, Vivek Khetan, Tyler McDonnell, An Thanh Nguyen, Dan Xu, Byron C. Wallace, Matthew Lease:
Neural Information Retrieval: A Literature Review. CoRR abs/1611.06792 (2016)
Coauthor Index
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