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Hiroshi Noji
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2020 – today
- 2023
- [c27]Hiroshi Noji, Yohei Oseki:
How Much Syntactic Supervision is "Good Enough"? EACL (Findings) 2023: 2255-2260 - 2022
- [c26]Shunsuke Kando, Hiroshi Noji, Yusuke Miyao:
Multilingual Syntax-aware Language Modeling through Dependency Tree Conversion. SPNLP@ACL 2022: 1-10 - [i11]Shunsuke Kando, Hiroshi Noji, Yusuke Miyao:
Multilingual Syntax-aware Language Modeling through Dependency Tree Conversion. CoRR abs/2204.08644 (2022) - 2021
- [j2]Kasumi Aoki, Akira Miyazawa, Tatsuya Ishigaki, Tatsuya Aoki, Hiroshi Noji, Keiichi Goshima, Hiroya Takamura, Yusuke Miyao, Ichiro Kobayashi:
Controlling contents in data-to-document generation with human-designed topic labels. Comput. Speech Lang. 66: 101154 (2021) - [c25]Hiroshi Noji, Yohei Oseki:
Effective Batching for Recurrent Neural Network Grammars. ACL/IJCNLP (Findings) 2021: 4340-4352 - [c24]Ryo Yoshida, Hiroshi Noji, Yohei Oseki:
Modeling Human Sentence Processing with Left-Corner Recurrent Neural Network Grammars. EMNLP (1) 2021: 2964-2973 - [c23]Tatsuya Ishigaki, Goran Topic, Yumi Hamazono, Hiroshi Noji, Ichiro Kobayashi, Yusuke Miyao, Hiroya Takamura:
Generating Racing Game Commentary from Vision, Language, and Structured Data. INLG 2021: 103-113 - [i10]Hiroshi Noji, Yohei Oseki:
Effective Batching for Recurrent Neural Network Grammars. CoRR abs/2105.14822 (2021) - [i9]Ryo Yoshida, Hiroshi Noji, Yohei Oseki:
Modeling Human Sentence Processing with Left-Corner Recurrent Neural Network Grammars. CoRR abs/2109.04939 (2021) - 2020
- [c22]Hiroshi Noji, Hiroya Takamura:
An Analysis of the Utility of Explicit Negative Examples to Improve the Syntactic Abilities of Neural Language Models. ACL 2020: 3375-3385 - [c21]Yui Uehara, Tatsuya Ishigaki, Kasumi Aoki, Hiroshi Noji, Keiichi Goshima, Ichiro Kobayashi, Hiroya Takamura, Yusuke Miyao:
Learning with Contrastive Examples for Data-to-Text Generation. COLING 2020: 2352-2362 - [c20]Namgi Han, Goran Topic, Hiroshi Noji, Hiroya Takamura, Yusuke Miyao:
An empirical analysis of existing systems and datasets toward general simple question answering. COLING 2020: 5321-5334 - [c19]Hicham El Boukkouri, Olivier Ferret, Thomas Lavergne, Hiroshi Noji, Pierre Zweigenbaum, Jun'ichi Tsujii:
CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters. COLING 2020: 6903-6915 - [c18]Yumi Hamazono, Yui Uehara, Hiroshi Noji, Yusuke Miyao, Hiroya Takamura, Ichiro Kobayashi:
Market Comment Generation from Data with Noisy Alignments. INLG 2020: 148-157 - [i8]Hiroshi Noji, Hiroya Takamura:
An analysis of the utility of explicit negative examples to improve the syntactic abilities of neural language models. CoRR abs/2004.02451 (2020) - [i7]Hicham El Boukkouri, Olivier Ferret, Thomas Lavergne, Hiroshi Noji, Pierre Zweigenbaum, Junichi Tsujii:
CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters. CoRR abs/2010.10392 (2020)
2010 – 2019
- 2019
- [c17]Masashi Yoshikawa, Koji Mineshima, Hiroshi Noji, Daisuke Bekki:
Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language Inference. AAAI 2019: 7410-7417 - [c16]Masashi Yoshikawa, Hiroshi Noji, Koji Mineshima, Daisuke Bekki:
Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation. ACL (1) 2019: 129-139 - [c15]Hayate Iso, Yui Uehara, Tatsuya Ishigaki, Hiroshi Noji, Eiji Aramaki, Ichiro Kobayashi, Yusuke Miyao, Naoaki Okazaki, Hiroya Takamura:
Learning to Select, Track, and Generate for Data-to-Text. ACL (1) 2019: 2102-2113 - [c14]Kasumi Aoki, Akira Miyazawa, Tatsuya Ishigaki, Tatsuya Aoki, Hiroshi Noji, Keiichi Goshima, Ichiro Kobayashi, Hiroya Takamura, Yusuke Miyao:
Controlling Contents in Data-to-Document Generation with Human-Designed Topic Labels. INLG 2019: 323-332 - [i6]Masashi Yoshikawa, Hiroshi Noji, Koji Mineshima, Daisuke Bekki:
Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation. CoRR abs/1906.01834 (2019) - [i5]Hayate Iso, Yui Uehara, Tatsuya Ishigaki, Hiroshi Noji, Eiji Aramaki, Ichiro Kobayashi, Yusuke Miyao, Naoaki Okazaki, Hiroya Takamura:
Learning to Select, Track, and Generate for Data-to-Text. CoRR abs/1907.09699 (2019) - 2018
- [c13]Ryosuke Kohita, Hiroshi Noji, Yuji Matsumoto:
Dynamic Feature Selection with Attention in Incremental Parsing. COLING 2018: 785-794 - [c12]Quy Nguyen, Yusuke Miyao, Hiroshi Noji, Nhung Nguyen:
An Empirical Investigation of Error Types in Vietnamese Parsing. COLING 2018: 3075-3089 - [c11]Masashi Yoshikawa, Koji Mineshima, Hiroshi Noji, Daisuke Bekki:
Consistent CCG Parsing over Multiple Sentences for Improved Logical Reasoning. NAACL-HLT (2) 2018: 407-412 - [i4]Masashi Yoshikawa, Koji Mineshima, Hiroshi Noji, Daisuke Bekki:
Consistent CCG Parsing over Multiple Sentences for Improved Logical Reasoning. CoRR abs/1804.07068 (2018) - [i3]Masashi Yoshikawa, Koji Mineshima, Hiroshi Noji, Daisuke Bekki:
Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language Inference. CoRR abs/1811.06203 (2018) - 2017
- [c10]Masashi Yoshikawa, Hiroshi Noji, Yuji Matsumoto:
A* CCG Parsing with a Supertag and Dependency Factored Model. ACL (1) 2017: 277-287 - [c9]Motoki Sato, Hitoshi Manabe, Hiroshi Noji, Yuji Matsumoto:
Adversarial Training for Cross-Domain Universal Dependency Parsing. CoNLL Shared Task (2) 2017: 71-79 - [c8]Ryosuke Kohita, Hiroshi Noji, Yuji Matsumoto:
Multilingual Back-and-Forth Conversion between Content and Function Head for Easy Dependency Parsing. EACL (2) 2017: 1-7 - [c7]Frances Yung, Hiroshi Noji, Yuji Matsumoto:
Can Discourse Relations be Identified Incrementally? IJCNLP(2) 2017: 157-162 - [c6]Ryosuke Kohita, Hiroshi Noji, Yuji Matsumoto:
Effective Online Reordering with Arc-Eager Transitions. IWPT 2017: 88-98 - [i2]Masashi Yoshikawa, Hiroshi Noji, Yuji Matsumoto:
A* CCG Parsing with a Supertag and Dependency Factored Model. CoRR abs/1704.06936 (2017) - 2016
- [b1]Hiroshi Noji:
Left-corner Methods for Syntactic Modeling with Universal Structural Constraints. Graduate University for Advanced Studies, Japan, 2016 - [j1]Hiroshi Noji, Yusuke Miyao:
Left-corner Parsing for Dependency Grammar. Inf. Media Technol. 11: 116-153 (2016) - [c5]Hiroshi Noji, Yusuke Miyao:
Jigg: A Framework for an Easy Natural Language Processing Pipeline. ACL (System Demonstrations) 2016: 103-108 - [c4]Hiroshi Noji, Yusuke Miyao, Mark Johnson:
Using Left-corner Parsing to Encode Universal Structural Constraints in Grammar Induction. EMNLP 2016: 33-43 - [i1]Hiroshi Noji:
Left-corner Methods for Syntactic Modeling with Universal Structural Constraints. CoRR abs/1608.00293 (2016) - 2015
- [c3]Le Quang Thang, Hiroshi Noji, Yusuke Miyao:
Optimal Shift-Reduce Constituent Parsing with Structured Perceptron. ACL (1) 2015: 1534-1544 - 2014
- [c2]Hiroshi Noji, Yusuke Miyao:
Left-corner Transitions on Dependency Parsing. COLING 2014: 2140-2150 - 2013
- [c1]Hiroshi Noji, Daichi Mochihashi, Yusuke Miyao:
Improvements to the Bayesian Topic N-Gram Models. EMNLP 2013: 1180-1190
Coauthor Index
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