Kazuma Hashimoto
Kazuma Hashimoto
Salesforce Research
Verified email at salesforce.com - Homepage
Title
Cited by
Cited by
Year
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
K Hashimoto, C Xiong, Y Tsuruoka, R Socher
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
4022017
Tree-to-Sequence Attentional Neural Machine Translation
A Eriguchi, K Hashimoto, Y Tsuruoka
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
2092016
Simple Customization of Recursive Neural Networks for Semantic Relation Classification.
K Hashimoto, M Miwa, Y Tsuruoka, T Chikayama
Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013
1062013
Learning to retrieve reasoning paths over wikipedia graph for question answering
A Asai, K Hashimoto, H Hajishirzi, R Socher, C Xiong
ICLR 2020, 2020
732020
Topic detection using paragraph vectors to support active learning in systematic reviews
K Hashimoto, G Kontonatsios, M Miwa, S Ananiadou
Journal of biomedical informatics 62, 59-65, 2016
702016
Task-Oriented Learning of Word Embeddings for Semantic Relation Classification
K Hashimoto, P Stenetorp, M Miwa, Y Tsuruoka
Proceedings of the Nineteenth Conference on Computational Natural Language …, 2015
582015
Find or classify? dual strategy for slot-value predictions on multi-domain dialog state tracking
JG Zhang, K Hashimoto, CS Wu, Y Wan, PS Yu, R Socher, C Xiong
*SEM 2020, 2020
412020
Jointly Learning Word Representations and Composition Functions Using Predicate-Argument Structures.
K Hashimoto, P Stenetorp, M Miwa, Y Tsuruoka
Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014
382014
Neural Machine Translation with Source-Side Latent Graph Parsing
K Hashimoto, Y Tsuruoka
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
342017
Adaptive Joint Learning of Compositional and Non-Compositional Phrase Embeddings
K Hashimoto, Y Tsuruoka
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
302016
Multilingual extractive reading comprehension by runtime machine translation
A Asai, A Eriguchi, K Hashimoto, Y Tsuruoka
arXiv preprint arXiv:1809.03275, 2018
282018
Training a Joint Many-Task Neural Network Model using Successive Regularization
K Hashimoto, C Xiong, R Socher
US Patent App. 15/421,431, 2018
242018
Joint many-task neural network model for multiple natural language processing (NLP) tasks
K Hashimoto, C Xiong, R Socher
US Patent 10,839,284, 2020
202020
Co-search: Covid-19 information retrieval with semantic search, question answering, and abstractive summarization
A Esteva, A Kale, R Paulus, K Hashimoto, W Yin, D Radev, R Socher
arXiv preprint arXiv:2006.09595, 2020
192020
Deep Neural Network Model for Processing Data Through Mutliple Linguistic Task Hiearchies
K Hashimoto, C Xiong, R Socher
US Patent App. 15/421,424, 2018
172018
Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT
L Sun, K Hashimoto, W Yin, A Asai, J Li, P Yu, C Xiong
arXiv preprint arXiv:2003.04985, 2020
112020
Character-based Decoding in Tree-to-Sequence Attention-based Neural Machine Translation
A Eriguchi, K Hashimoto, Y Tsuruoka
Proceedings of the 3rd Workshop on Asian Translation (WAT2016), 175-183, 2016
112016
Domain Adaptation and Attention-Based Unknown Word Replacement in Chinese-to-Japanese Neural Machine Translation
K Hashimoto, A Eriguchi, Y Tsuruoka
Proceedings of the 3rd Workshop on Asian Translation (WAT 2016), 75-83, 2016
92016
Learning Embeddings for Transitive Verb Disambiguation by Implicit Tensor Factorization
K Hashimoto, Y Tsuruoka
Proceedings of the 3rd Workshop on Continuous Vector Space Models and their …, 2015
82015
Incorporating source-side phrase structures into neural machine translation
A Eriguchi, K Hashimoto, Y Tsuruoka
Computational Linguistics 45 (2), 267-292, 2019
72019
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