| 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 | 153 | 2018 |
| Neural information retrieval: A literature review Y Zhang, MM Rahman, A Braylan, B Dang, HL Chang, H Kim, ... arXiv preprint arXiv:1611.06792, 2016 | 64 | 2016 |
| 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 | 40 | 2022 |
| 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 | 16 | 2022 |
| 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 | 15 | 2021 |
| 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 | 12 | 2022 |
| 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 | 12 | 2020 |
| 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 | 9 | 2022 |
| Correlation, Prediction and Ranking of Evaluation Metrics in Information Retrieval S Gupta, M Kutlu, V Khetan, M Lease ECIR-2019, 2019 | 9 | 2019 |
| 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 | 7 | 2023 |
| Cross-domain reasoning via template filling D Rajagopal, V Khetan, B Sacaleanu, A Gershman, A Fano, E Hovy arXiv preprint arXiv:2111.00539, 2021 | 7 | 2021 |
| 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 | 6 | 2021 |
| Template filling for controllable commonsense reasoning D Rajagopal, V Khetan, B Sacaleanu, A Gershman, A Fano, E Hovy arXiv preprint arXiv:2111.00539, 2021 | 5 | 2021 |
| 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 | 4 | 2021 |
| 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 | 3 | 2021 |
| DEFT: Data Efficient Fine-Tuning for Large Language Models via Unsupervised Core-Set Selection D Das, V Khetan arXiv preprint arXiv:2310.16776, 2023 | 2 | 2023 |
| 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 | 2 | 2021 |
| Correlation and prediction of evaluation metrics in information retrieval M Kutlu, V Khetan, M Lease arXiv preprint arXiv:1802.00323, 2018 | 2 | 2018 |
| Identifying causal relations 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, ... arXiv preprint arXiv:2111.01225, 2021 | 1 | 2021 |
| Utilizing a neural network model and hyperbolic embedded space to predict interactions between genes VK Khetan, MB Pouyan US Patent App. 17/099,414, 2021 | 1 | 2021 |
Andrew FanoNorthwestern University在 northwestern.edu 的电子邮件经过验证
