Vikas Yadav
Vikas Yadav
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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
892018
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
182018
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
112016
UArizona at the MADE1. 0 NLP Challenge
D Xu, V Yadav, S Bethard
Proceedings of machine learning research 90, 57, 2018
102018
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
72016
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
52018
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
32019
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
32019
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
22019
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
2019
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