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Vivek  Khetan
Vivek Khetan
Technology R&D Principal (AI), Accenture Labs | Graduate, UT-Austin | B-Tech, IIT-Dhanbad
Verified email at utexas.edu - Homepage
Title
Cited by
Cited by
Year
Neural information retrieval: At the end of the early years
KD Onal, Y Zhang, IS Altingovde, MM Rahman, P Karagoz, A Braylan, ...
Information Retrieval Journal 21, 111-182, 2018
1492018
Neural information retrieval: A literature review
Y Zhang, MM Rahman, A Braylan, B Dang, HL Chang, H Kim, ...
arXiv preprint arXiv:1611.06792, 2016
672016
Causal bert: Language models for causality detection between events expressed in text
V Khetan, R Ramnani, M Anand, S Sengupta, AE Fano
Intelligent Computing: Proceedings of the 2021 Computing Conference, Volume …, 2022
362022
Redhot: A corpus of annotated medical questions, experiences, and claims on social media
S Wadhwa, V Khetan, S Amir, B Wallace
arXiv preprint arXiv:2210.06331, 2022
142022
Extraction of explicit and implicit cause-effect relationships in patient-reported diabetes-related tweets from 2017 to 2021: Deep learning approach
A Ahne, V Khetan, X Tannier, MIH Rizvi, T Czernichow, F Orchard, C Bour, ...
JMIR medical informatics 10 (7), e37201, 2022
122022
MIMICause: Representation and automatic extraction of causal relation types from clinical notes
V Khetan, MIH Rizvi, J Huber, P Bartusiak, B Sacaleanu, A Fano
arXiv preprint arXiv:2110.07090, 2021
122021
Causal BERT: Language models for causality detection between events expressed in text
V Khetan, R Ramnani, M Anand, S Sengupta, AE Fano
arXiv preprint arXiv:2012.05453, 2020
112020
Correlation, Prediction and Ranking of Evaluation Metrics in Information Retrieval
S Gupta, M Kutlu, V Khetan, M Lease
ECIR-2019, 2019
92019
Semeval-2023 task 8: Causal medical claim identification and related pio frame extraction from social media posts
V Khetan, S Wadhwa, BC Wallace, S Amir
Proceedings of the 17th International Workshop on Semantic Evaluation …, 2023
72023
CHARD: clinical health-aware reasoning across dimensions for text generation models
SY Feng, V Khetan, B Sacaleanu, A Gershman, E Hovy
arXiv preprint arXiv:2210.04191, 2022
62022
Cross-domain reasoning via template filling
D Rajagopal, V Khetan, B Sacaleanu, A Gershman, A Fano, E Hovy
arXiv preprint arXiv:2111.00539, 2021
62021
Knowledge graph anchored information-extraction for domain-specific insights
V Khetan, E Wetherley, E Eneva, S Sengupta, AE Fano
arXiv preprint arXiv:2104.08936, 2021
52021
MIMICause: Defining, identifying and predicting types of causal relationships between biomedical concepts from clinical notes
V Khetan, M Rizvi, J Huber, P Bartusiak, B Sacaleanu, A Fano
ArXiv. URL: http://arxiv. org/abs/2110.07090 [accessed 2021-12-12], 2021
52021
Template filling for controllable commonsense reasoning
D Rajagopal, V Khetan, B Sacaleanu, A Gershman, A Fano, E Hovy
arXiv preprint arXiv:2111.00539, 2021
22021
Utilizing machine learning to detect single and cluster-type anomalies in a data set
MB Pouyan, SS ESFAHANI, VK Khetan, AE Fano
US Patent App. 17/248,848, 2021
22021
Identifying causal associations in tweets using deep learning: Use case on diabetes-related tweets from 2017-2021
A Ahne, V Khetan, X Tannier, MIH Rizvi, T Czernichow, F Orchard, C Bour, ...
ArXiv211101225 Cs, 2021
22021
Correlation and prediction of evaluation metrics in information retrieval
M Kutlu, V Khetan, M Lease
arXiv preprint arXiv:1802.00323, 2018
22018
DEFT: Data Efficient Fine-Tuning for Large Language Models via Unsupervised Core-Set Selection
D Das, V Khetan
arXiv preprint arXiv:2310.16776, 2023
12023
Beyond One-Size-Fits-All: Multi-Domain, Multi-Task Framework for Embedding Model Selection
V Khetan
arXiv preprint arXiv:2404.00458, 2024
2024
Hierarchical data labeling for machine learning using semi-supervised multi-level labeling framework
MB Pouyan, MA Ohara, M Khati, SV Khole, H Satbhai, VK KHETAN, ...
US Patent App. 17/820,419, 2024
2024
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