| A survey on recent advances in named entity recognition from deep learning models V Yadav, S Bethard Proceedings of the 27th International Conference on Computational …, 2018 | 580 | 2018 |
| Deep affix features improve neural named entity recognizers V Yadav, R Sharp, S Bethard Proceedings of the seventh joint conference on lexical and computational …, 2018 | 57 | 2018 |
| Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering V Yadav, S Bethard, M Surdeanu Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 44 | 2019 |
| Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering V Yadav, S Bethard, M Surdeanu Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 34 | 2020 |
| Alignment over heterogeneous embeddings for question answering V Yadav, S Bethard, M Surdeanu Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 26 | 2019 |
| Multi-class hierarchical question classification for multiple choice science exams D Xu, P Jansen, J Martin, Z Xie, V Yadav, HT Madabushi, O Tafjord, ... arXiv preprint arXiv:1908.05441, 2019 | 23 | 2019 |
| Eidos, INDRA, & Delphi: from free text to executable causal models R Sharp, A Pyarelal, B Gyori, K Alcock, E Laparra, ... Proceedings of the 2019 conference of the north American chapter of the …, 2019 | 23 | 2019 |
| UArizona at the MADE1. 0 NLP Challenge D Xu, V Yadav, S Bethard International workshop on medication and adverse drug event detection, 57-65, 2018 | 23 | 2018 |
| Text extraction in document images: highlight on using corner points V Yadav, N Ragot 2016 12th IAPR Workshop on Document Analysis Systems (DAS), 281-286, 2016 | 23 | 2016 |
| Sanity check: A strong alignment and information retrieval baseline for question answering V Yadav, R Sharp, M Surdeanu The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 16 | 2018 |
| Cheap and good? simple and effective data augmentation for low resource machine reading H Van, V Yadav, M Surdeanu Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 9 | 2021 |
| Towards robust neural retrieval models with synthetic pre-training RG Reddy, V Yadav, MA Sultan, M Franz, V Castelli, H Ji, A Sil arXiv preprint arXiv:2104.07800, 2021 | 7 | 2021 |
| Fuzzy based image forensic tool for detection and classification of image cloning MF Hashmi, AG Keskar, V Yadav International Journal of Computational Intelligence Systems 9 (2), 351-375, 2016 | 6 | 2016 |
| If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering V Yadav, S Bethard, M Surdeanu Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 5 | 2021 |
| University of arizona at semeval-2019 task 12: Deep-affix named entity recognition of geolocation entities V Yadav, E Laparra, TT Wang, M Surdeanu, S Bethard Proceedings of the 13th International Workshop on Semantic Evaluation, 1319-1323, 2019 | 5 | 2019 |
| Using paralinguistic information to disambiguate user intentions for distinguishing phrase structure and sarcasm in spoken dialog systems Z Zhou, IG Choi, Y He, V Yadav, CH Lee 2021 IEEE Spoken Language Technology Workshop (SLT), 1020-1027, 2021 | 1 | 2021 |
| Having your cake and eating it too: Training neural retrieval for language inference without losing lexical match V Yadav, S Bethard, M Surdeanu Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 1 | 2020 |
| Evidence Retrieval for Explainable Question Answering V Yadav The University of Arizona, 2020 | | 2020 |
Steven BethardAssociate Professor, University of ArizonaVerified email at arizona.edu
