Hidetaka Kamigaito
Hidetaka Kamigaito
Verified email at lr.pi.titech.ac.jp - Homepage
Title
Cited by
Cited by
Year
Supervised attention for sequence-to-sequence constituency parsing
H Kamigaito, K Hayashi, T Hirao, H Takamura, M Okumura, M Nagata
Proceedings of the Eighth International Joint Conference on Natural Language …, 2017
122017
Similarity search for office XML documents based on style and structure data
Y Watanabe, H Kamigaito, H Yokota
International Journal of Web Information Systems, 2013
12*2013
An empirical study of building a strong baseline for constituency parsing
J Suzuki, S Takase, H Kamigaito, M Morishita, M Nagata
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
102018
Higher-Order Syntactic Attention Network for Long Sentence Compression
H Kamigaito, K Hayashi, T Hirao, M Nagata
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
82018
Automatic pyramid evaluation exploiting EDU-based extractive reference summaries
T Hirao, H Kamigaito, M Nagata
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
52018
Top-Down RST Parsing Utilizing Granularity Levels in Documents
N Kobayashi, T Hirao, H Kamigaito, M Okumura, M Nagata
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8099-8106, 2020
42020
Unsupervised word alignment using frequency constraint in posterior regularized EM
H Kamigaito, T Watanabe, H Takamura, M Okumura, E Sumita
Journal of Natural Language Processing 23 (4), 327-351, 2016
42016
Unsupervised word alignment using frequency constraint in posterior regularized EM
H Kamigaito, T Watanabe, H Takamura, M Okumura, E Sumita
Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014
42014
Office XML 文書の部分木に着目した類似スタイルのファイル検索
上垣外英剛, 渡辺陽介, 横田治夫
第 4 回データ工学と情報マネジメントに関するフォーラム (DEIM2012), 2012
42012
Split or Merge: Which is Better for Unsupervised RST Parsing?
N Kobayashi, T Hirao, K Nakamura, H Kamigaito, M Okumura, M Nagata
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
32019
Syntactically Look-Ahead Attention Network for Sentence Compression
H Kamigaito, M Okumura
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8050-8057, 2020
22020
Context-aware neural machine translation with coreference information
T Ohtani, H Kamigaito, M Nagata, M Okumura
Proceedings of the Fourth Workshop on Discourse in Machine Translation …, 2019
22019
Unsupervised Word Alignment by Agreement Under ITG Constraint
H Kamigaito, A Tamura, H Takamura, M Okumura, E Sumita
Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016
22016
Discourse-aware hierarchical attention network for extractive single-document summarization
T Ishigaki, H Kamigaito, H Takamura, M Okumura
Proceedings of the International Conference on Recent Advances in Natural …, 2019
12019
Hierarchical Back-off Modeling of Hiero Grammar based on Non-parametric Bayesian Model
H Kamigaito, T Watanabe, H Takamura, M Okumura, E Sumita
Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015
12015
Metric-Type Identification for Multi-Level Header Numerical Tables in Scientific Papers
L Hulliyyatus Suadaa, H Kamigaito, M Okumura, H Takamura
arXiv e-prints, arXiv: 2102.00819, 2021
2021
Metric-Type Identification for Multi-Level Header Numerical Tables in Scientific Papers
LH Suadaa, H Kamigaito, M Okumura, H Takamura
arXiv preprint arXiv:2102.00819, 2021
2021
Symbol sequence generation apparatus, text compression apparatus, symbol sequence generation method and program
H Kamigaito, M Nagata, T Hirao
US Patent App. 16/976,932, 2021
2021
A Simple and Effective Usage of Word Clusters for CBOW Model
Y Feng, C Hu, H Kamigaito, H Takamura, M Okumura
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the …, 2020
2020
Hierarchical Trivia Fact Extraction from Wikipedia Articles
J Kwon, H Kamigaito, YI Song, M Okumura
Proceedings of the 28th International Conference on Computational …, 2020
2020
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Articles 1–20