🏙️ Works of Keihanshin from 2016

10 works · the most cited first · ← Keihanshin

1. Learning Structured Sparsity in Deep Neural NetworksarXiv:1608.03665Wei Wen, Chunpeng Wu, Yandan Wang, et al.2016 · 530 citations
2. Adversarial Training Methods for Semi-Supervised Text ClassificationarXiv:1605.07725Takeru Miyato, Andrew M. Dai, Ian Goodfellow2016 · 433 citations
3. Joint Learning of the Embedding of Words and Entities for Named Entity DisambiguationConference on Computational Natural Language Learning (CoNLL)Ikuya Yamada, Hiroyuki Shindo, Hideaki Takeda, et al.2016 · 428 citations
4. Incorporating Discrete Translation Lexicons into Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Philip Arthur, Graham Neubig, Satoshi Nakamura2016 · 302 citations
5. ASPEC: Asian Scientific Paper Excerpt CorpusLanguage Resources and Evaluation Conference (LREC)Toshiaki Nakazawa, Manabu Yaguchi, Kiyotaka Uchimoto, et al.2016 · 246 citations
6. Joint Transition-based Dependency Parsing and Disfluency Detection for Automatic Speech Recognition TextsMasashi Yoshikawa, Hiroyuki Shindo, Yuji Matsumoto2016 · 57 citations
7. BCCWJ-DepPara: A Syntactic Annotation Treebank on the ‘Balanced Corpus of Contemporary Written Japanese'International Conference on Computational Linguistics (COLING)Masayuki Asahara, Yuji Matsumoto2016 · 23 citations
8. Construction of an English Dependency Corpus incorporating Compound Function WordsAkihiko Kato, Hiroyuki Shindo, Yuji Matsumoto2016 · 12 citations
9. Modelling the Usage of Discourse Connectives as Rational Speech ActsFrances Yung, Kevin Duh, Taku Komura, et al.2016 · 5 citations
10. Modelling the Interpretation of Discourse Connectives by Bayesian PragmaticsAnnual Meeting of the Association for Computational Linguistics (ACL)Frances Yung, Kevin Duh, Taku Komura, et al.2016 · 1 citation

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