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2020 – today
- 2024
[j14]Keigo Takahashi
, Teruaki Oka, Mamoru Komachi, Yasufumi Takama:
A Comparative Study of Relation Classification Approaches for Japanese Discourse Relation Analysis. J. Adv. Comput. Intell. Intell. Informatics 28(2): 239-254 (2024)- [j13]Masamune Kobayashi, Masato Mita, Mamoru Komachi:
Revisiting Meta-evaluation for Grammatical Error Correction. Trans. Assoc. Comput. Linguistics 12: 837-855 (2024) - [c125]Kenichiro Ando, Satoshi Sekine, Mamoru Komachi:
WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in Wikipedia. AAAI 2024: 17656-17663 - [c124]Masamune Kobayashi, Masato Mita, Mamoru Komachi:
Large Language Models Are State-of-the-Art Evaluator for Grammatical Error Correction. BEA 2024: 68-77 - [c123]Taisei Enomoto, Hwichan Kim, Tosho Hirasawa, Yoshinari Nagai, Ayako Sato, Kyotaro Nakajima, Mamoru Komachi:
TMU-HIT at MLSP 2024: How Well Can GPT-4 Tackle Multilingual Lexical Simplification? BEA 2024: 590-598 - [c122]Yoshinari Nagai, Teruaki Oka, Mamoru Komachi:
A Document-Level Text Simplification Dataset for Japanese. LREC/COLING 2024: 459-476 - [c121]Naoya Ueda, Masato Mita, Teruaki Oka, Mamoru Komachi:
Token-length Bias in Minimal-pair Paradigm Datasets. LREC/COLING 2024: 16224-16236 - [c120]Hwichan Kim, Jun Suzuki, Tosho Hirasawa, Mamoru Komachi:
Pruning Multilingual Large Language Models for Multilingual Inference. EMNLP (Findings) 2024: 9921-9942 - [c119]Ayako Sato, Kyotaro Nakajima, Hwichan Kim, Zhousi Chen, Mamoru Komachi:
TMU-HIT's Submission for the WMT24 Quality Estimation Shared Task: Is GPT-4 a Good Evaluator for Machine Translation? WMT 2024: 529-534 - [i39]Masamune Kobayashi, Masato Mita, Mamoru Komachi:
Revisiting Meta-evaluation for Grammatical Error Correction. CoRR abs/2403.02674 (2024) - [i38]Masamune Kobayashi, Masato Mita, Mamoru Komachi:
Large Language Models Are State-of-the-Art Evaluator for Grammatical Error Correction. CoRR abs/2403.17540 (2024) - [i37]Hwichan Kim, Jun Suzuki, Tosho Hirasawa, Mamoru Komachi:
Pruning Multilingual Large Language Models for Multilingual Inference. CoRR abs/2409.16911 (2024) - 2023
- [j12]Keigo Takahashi, Teruaki Oka, Mamoru Komachi:
Effectiveness of Pre-Trained Language Models for the Japanese Winograd Schema Challenge. J. Adv. Comput. Intell. Intell. Informatics 27(3): 511-521 (2023) - [j11]Zhousi Chen, Mamoru Komachi:
Discontinuous Combinatory Constituency Parsing. Trans. Assoc. Comput. Linguistics 11: 267-283 (2023) - [j10]Hongfei Wang, Michiki Kurosawa, Satoru Katsumata, Masato Mita, Mamoru Komachi:
Chinese Grammatical Error Correction Using Pre-trained Models and Pseudo Data. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(3): 89:1-89:12 (2023) - [j9]Siti Oryza Khairunnisa, Zhousi Chen, Mamoru Komachi:
Dataset Enhancement and Multilingual Transfer for Named Entity Recognition in the Indonesian Language. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(6): 184:1-184:21 (2023) - [j8]Hwichan Kim, Tosho Hirasawa, Sangwhan Moon, Naoaki Okazaki, Mamoru Komachi:
North Korean Neural Machine Translation through South Korean Resources. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(9): 223:1-223:22 (2023) - [c118]Hwichan Kim, Mamoru Komachi:
Enhancing Few-shot Cross-lingual Transfer with Target Language Peculiar Examples. ACL (Findings) 2023: 747-767 - [c117]Zizheng Zhang, Masato Mita, Mamoru Komachi:
Cloze Quality Estimation for Language Assessment. EACL (Findings) 2023: 540-550 - [c116]Hiroto Tamura, Tosho Hirasawa, Hwichan Kim, Mamoru Komachi:
Does Masked Language Model Pre-training with Artificial Data Improve Low-resource Neural Machine Translation? EACL (Findings) 2023: 2171-2180 - [c115]Zizheng Zhang, Masato Mita, Mamoru Komachi:
ClozEx: A Task toward Generation of English Cloze Explanation. EMNLP (Findings) 2023: 5228-5242 - [c114]Naoya Ueda, Mamoru Komachi:
TMU Feedback Comment Generation System Using Pretrained Sequence-to-Sequence Language Models. INLG (Generation Challenges) 2023: 68-73 - [c113]Taisei Enomoto, Tosho Hirasawa, Hwichan Kim, Teruaki Oka, Mamoru Komachi:
Simultaneous Domain Adaptation of Tokenization and Machine Translation. PACLIC 2023: 36-45 - [c112]Zhidong Ling, Taichi Aida, Teruaki Oka, Mamoru Komachi:
Construction of Evaluation Dataset for Japanese Lexical Semantic Change Detection. PACLIC 2023: 125-136 - [c111]Xiaomeng Pan, Zhousi Chen, Mamoru Komachi:
Query Generation Using GPT-3 for CLIP-Based Word Sense Disambiguation for Image Retrieval. *SEM@ACL 2023: 417-422 - [c110]Tosho Hirasawa, Emanuele Bugliarello, Desmond Elliott, Mamoru Komachi:
Visual Prediction Improves Zero-Shot Cross-Modal Machine Translation. WMT 2023: 522-535 - [i36]Kenichiro Ando, Mamoru Komachi, Takashi Okumura, Hiromasa Horiguchi, Yuji Matsumoto:
Is In-hospital Meta-information Useful for Abstractive Discharge Summary Generation? CoRR abs/2303.06002 (2023) - [i35]Kenichiro Ando, Satoshi Sekine, Mamoru Komachi:
WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in Wikipedia. CoRR abs/2305.05928 (2023) - 2022
- [j7]Tosho Hirasawa, Masahiro Kaneko, Aizhan Imankulova, Mamoru Komachi:
Pre-Trained Word Embedding and Language Model Improve Multimodal Machine Translation: A Case Study in Multi30K. IEEE Access 10: 67653-67668 (2022) - [j6]Yuting Zhao, Mamoru Komachi, Tomoyuki Kajiwara, Chenhui Chu:
Region-attentive multimodal neural machine translation. Neurocomputing 476: 1-13 (2022) - [j5]Zhishen Yang, Tosho Hirasawa, Mamoru Komachi, Naoaki Okazaki:
Why Videos Do Not Guide Translations in Video-guided Machine Translation? An Empirical Evaluation of Video-guided Machine Translation Dataset. J. Inf. Process. 30: 388-396 (2022) - [j4]Yuting Zhao, Mamoru Komachi, Tomoyuki Kajiwara, Chenhui Chu:
Word-Region Alignment-Guided Multimodal Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 30: 244-259 (2022) - [c109]Seiichiro Kondo, Mamoru Komachi:
TMU NMT System with Automatic Post-Editing by Multi-Source Levenshtein Transformer for the Restricted Translation Task of WAT 2022. WAT@COLING 2022: 51-58 - [c108]Seiichi Inoue, Mamoru Komachi, Toshinobu Ogiso, Hiroya Takamura, Daichi Mochihashi:
Infinite SCAN: An Infinite Model of Diachronic Semantic Change. EMNLP 2022: 1605-1616 - [c107]Daisuke Suzuki, Yujin Takahashi, Ikumi Yamashita, Taichi Aida, Tosho Hirasawa, Michitaka Nakatsuji, Masato Mita, Mamoru Komachi:
Construction of a Quality Estimation Dataset for Automatic Evaluation of Japanese Grammatical Error Correction. LREC 2022: 5565-5572 - [c106]Yujin Takahashi, Masahiro Kaneko, Masato Mita, Mamoru Komachi:
ProQE: Proficiency-wise Quality Estimation dataset for Grammatical Error Correction. LREC 2022: 5994-6000 - [c105]Hwichan Kim, Sangwhan Moon, Naoaki Okazaki, Mamoru Komachi:
Learning How to Translate North Korean through South Korean. LREC 2022: 6711-6718 - [c104]Xiaomeng Pan, Hongfei Wang, Teruaki Oka, Mamoru Komachi:
Zuo Zhuan Ancient Chinese Dataset for Word Sense Disambiguation. NAACL-HLT (Student Research Workshop) 2022: 129-135 - [c103]Seiichiro Kondo, Naoya Ueda, Teruaki Oka, Masakazu Sugiyama, Asahi Hentona, Mamoru Komachi:
Japanese Named Entity Recognition from Automatic Speech Recognition Using Pre-trained Models. PACLIC 2022: 102-108 - [c102]Kenichiro Ando, Mamoru Komachi, Takashi Okumura, Hiromasa Horiguchi, Yuji Matsumoto:
Is In-hospital Meta-information Useful for Abstractive Discharge Summary Generation? TAAI 2022: 143-148 - [i34]Yujin Takahashi, Masahiro Kaneko, Masato Mita, Mamoru Komachi:
Proficiency Matters Quality Estimation in Grammatical Error Correction. CoRR abs/2201.06199 (2022) - [i33]Daisuke Suzuki, Yujin Takahashi, Ikumi Yamashita, Taichi Aida, Tosho Hirasawa, Michitaka Nakatsuji, Masato Mita, Mamoru Komachi:
Construction of a Quality Estimation Dataset for Automatic Evaluation of Japanese Grammatical Error Correction. CoRR abs/2201.08038 (2022) - [i32]Hwichan Kim, Sangwhan Moon, Naoaki Okazaki, Mamoru Komachi:
Learning How to Translate North Korean through South Korean. CoRR abs/2201.11258 (2022) - [i31]Kenichiro Ando, Takashi Okumura, Mamoru Komachi, Hiromasa Horiguchi, Yuji Matsumoto:
Exploring Optimal Granularity for Extractive Summarization of Unstructured Health Records: Analysis of the Largest Multi-Institutional Archive of Health Records in Japan. CoRR abs/2209.10041 (2022) - 2021
- [j3]Longtu Zhang, Mamoru Komachi:
Using Sub-character Level Information for Neural Machine Translation of Logographic Languages. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(2): 31:1-31:15 (2021) - [c101]Seiichi Inoue, Taichi Aida, Mamoru Komachi, Manabu Asai:
Modeling Text using the Continuous Space Topic Model with Pre-Trained Word Embeddings. ACL (student) 2021: 138-147 - [c100]Zhousi Chen, Longtu Zhang, Aizhan Imankulova, Mamoru Komachi:
Neural Combinatory Constituency Parsing. ACL/IJCNLP (Findings) 2021: 2199-2213 - [c99]Seiichiro Kondo, Aomi Koyama, Tomoshige Kiyuna, Tosho Hirasawa, Mamoru Komachi:
Machine Translation with Pre-specified Target-side Words Using a Semi-autoregressive Model. WAT@ACL/IJCNLP 2021: 68-73 - [c98]Hwichan Kim, Mamoru Komachi:
TMU NMT System with Japanese BART for the Patent task of WAT 2021. WAT@ACL/IJCNLP 2021: 133-137 - [c97]Yuting Zhao, Mamoru Komachi, Tomoyuki Kajiwara, Chenhui Chu:
TMEKU System for the WAT2021 Multimodal Translation Task. WAT@ACL/IJCNLP 2021: 174-180 - [c96]Aomi Koyama, Kengo Hotate, Masahiro Kaneko, Mamoru Komachi:
Comparison of Grammatical Error Correction Using Back-Translation Models. NAACL-HLT (Student Research Workshop) 2021: 126-135 - [c95]Seiichiro Kondo, Kengo Hotate, Tosho Hirasawa, Masahiro Kaneko, Mamoru Komachi:
Sentence Concatenation Approach to Data Augmentation for Neural Machine Translation. NAACL-HLT (Student Research Workshop) 2021: 143-149 - [c94]Rob van der Goot, Ibrahim Sharaf, Aizhan Imankulova, Ahmet Üstün, Marija Stepanovic, Alan Ramponi, Siti Oryza Khairunnisa, Mamoru Komachi, Barbara Plank:
From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding. NAACL-HLT 2021: 2479-2497 - [c93]Taichi Aida, Mamoru Komachi, Toshinobu Ogiso, Hiroya Takamura, Daichi Mochihashi:
A Comprehensive Analysis of PMI-based Models for Measuring Semantic Differences. PACLIC 2021: 21-31 - [c92]Hwichan Kim, Mamoru Komachi:
Can Monolingual Pre-trained Encoder-Decoder Improve NMT for Distant Language Pairs? PACLIC 2021: 235-243 - [c91]Kazuma Kobayashi, Taichi Aida, Mamoru Komachi:
Analyzing Semantic Changes in Japanese Words Using BERT. PACLIC 2021: 270-280 - [i30]Aomi Koyama, Kengo Hotate, Masahiro Kaneko, Mamoru Komachi:
Comparison of Grammatical Error Correction Using Back-Translation Models. CoRR abs/2104.07848 (2021) - [i29]Seiichiro Kondo, Kengo Hotate, Masahiro Kaneko, Mamoru Komachi:
Sentence Concatenation Approach to Data Augmentation for Neural Machine Translation. CoRR abs/2104.08478 (2021) - [i28]Rob van der Goot, Ibrahim Sharaf, Aizhan Imankulova, Ahmet Üstün, Marija Stepanovic, Alan Ramponi, Siti Oryza Khairunnisa, Mamoru Komachi, Barbara Plank:
From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding. CoRR abs/2105.07316 (2021) - [i27]Zhousi Chen, Longtu Zhang, Aizhan Imankulova, Mamoru Komachi:
Neural Combinatory Constituency Parsing. CoRR abs/2106.06689 (2021) - 2020
- [j2]Aizhan Imankulova, Takayuki Sato, Mamoru Komachi:
Filtered Pseudo-parallel Corpus Improves Low-resource Neural Machine Translation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(2): 24:1-24:16 (2020) - [c90]Yujin Takahashi, Satoru Katsumata, Mamoru Komachi:
Grammatical Error Correction Using Pseudo Learner Corpus Considering Learner's Error Tendency. ACL (student) 2020: 27-32 - [c89]Hwichan Kim, Tosho Hirasawa, Mamoru Komachi:
Zero-shot North Korean to English Neural Machine Translation by Character Tokenization and Phoneme Decomposition. ACL (student) 2020: 72-78 - [c88]Masahiro Kaneko, Aizhan Imankulova, Tosho Hirasawa, Mamoru Komachi:
English-to-Japanese Diverse Translation by Combining Forward and Backward Outputs. NGT@ACL 2020: 134-138 - [c87]Zizheng Zhang, Tosho Hirasawa, Wei Houjing, Masahiro Kaneko, Mamoru Komachi:
Translation of New Named Entities from English to Chinese. WAT@AAC/IJCNLPL 2020: 58-63 - [c86]Hiroto Tamura, Tosho Hirasawa, Masahiro Kaneko, Mamoru Komachi:
TMU Japanese-English Multimodal Machine Translation System for WAT 2020. WAT@AAC/IJCNLPL 2020: 80-91 - [c85]Hwichan Kim, Tosho Hirasawa, Mamoru Komachi:
Korean-to-Japanese Neural Machine Translation System using Hanja Information. WAT@AAC/IJCNLPL 2020: 127-134 - [c84]Kengo Hotate, Masahiro Kaneko, Mamoru Komachi:
Generating Diverse Corrections with Local Beam Search for Grammatical Error Correction. COLING 2020: 2132-2137 - [c83]Ikumi Yamashita, Satoru Katsumata, Masahiro Kaneko, Aizhan Imankulova, Mamoru Komachi:
Cross-lingual Transfer Learning for Grammatical Error Correction. COLING 2020: 4704-4715 - [c82]Ryoma Yoshimura, Masahiro Kaneko, Tomoyuki Kajiwara, Mamoru Komachi:
SOME: Reference-less Sub-Metrics Optimized for Manual Evaluations of Grammatical Error Correction. COLING 2020: 6516-6522 - [c81]Yuting Zhao, Mamoru Komachi, Tomoyuki Kajiwara, Chenhui Chu:
Double Attention-based Multimodal Neural Machine Translation with Semantic Image Regions. EAMT 2020: 105-114 - [c80]Siti Oryza Khairunnisa, Aizhan Imankulova, Mamoru Komachi:
Towards a Standardized Dataset on Indonesian Named Entity Recognition. AACL/IJCNLP (Student Research Workshop) 2020: 64-71 - [c79]Hongfei Wang, Michiki Kurosawa, Satoru Katsumata, Mamoru Komachi:
Chinese Grammatical Correction Using BERT-based Pre-trained Model. AACL/IJCNLP 2020: 163-168 - [c78]Satoru Katsumata, Mamoru Komachi:
Stronger Baselines for Grammatical Error Correction Using a Pretrained Encoder-Decoder Model. AACL/IJCNLP 2020: 827-832 - [c77]Aomi Koyama, Tomoshige Kiyuna, Kenji Kobayashi, Mio Arai, Mamoru Komachi:
Construction of an Evaluation Corpus for Grammatical Error Correction for Learners of Japanese as a Second Language. LREC 2020: 204-211 - [c76]Reo Hirao, Mio Arai, Hiroki Shimanaka, Satoru Katsumata, Mamoru Komachi:
Automated Essay Scoring System for Nonnative Japanese Learners. LREC 2020: 1250-1257 - [c75]Masashi Takaku, Tosho Hirasawa, Mamoru Komachi, Kanako Komiya:
Neural Machine Translation from Historical Japanese to Contemporary Japanese Using Diachronically Domain-Adapted Word Embeddings. PACLIC 2020: 534-541 - [c74]Aizhan Imankulova, Masahiro Kaneko, Tosho Hirasawa, Mamoru Komachi:
Towards Multimodal Simultaneous Neural Machine Translation. WMT@EMNLP 2020: 594-603 - [c73]Akifumi Nakamachi, Hiroki Shimanaka, Tomoyuki Kajiwara, Mamoru Komachi:
TMUOU Submission for WMT20 Quality Estimation Shared Task. WMT@EMNLP 2020: 1037-1041 - [i26]Aizhan Imankulova, Masahiro Kaneko, Tosho Hirasawa, Mamoru Komachi:
Towards Multimodal Simultaneous Neural Machine Translation. CoRR abs/2004.03180 (2020) - [i25]Satoru Katsumata, Mamoru Komachi:
Stronger Baselines for Grammatical Error Correction Using Pretrained Encoder-Decoder Model. CoRR abs/2005.11849 (2020) - [i24]Tosho Hirasawa, Zhishen Yang, Mamoru Komachi, Naoaki Okazaki:
Keyframe Segmentation and Positional Encoding for Video-guided Machine Translation Challenge 2020. CoRR abs/2006.12799 (2020) - [i23]Shinnosuke Takamichi, Mamoru Komachi, Naoko Tanji, Hiroshi Saruwatari:
JSSS: free Japanese speech corpus for summarization and simplification. CoRR abs/2010.01793 (2020) - [i22]Hongfei Wang, Michiki Kurosawa, Satoru Katsumata, Mamoru Komachi:
Chinese Grammatical Correction Using BERT-based Pre-trained Model. CoRR abs/2011.02093 (2020)
2010 – 2019
- 2019
- [j1]Masahiro Kaneko, Mamoru Komachi:
Multi-Head Multi-Layer Attention to Deep Language Representations for Grammatical Error Detection. Computación y Sistemas 23(3) (2019) - [c72]Mio Arai, Tomonori Kodaira, Mamoru Komachi:
Sakura: Large-scale Incorrect Example Retrieval System for Learners of Japanese as a Second Language. ACL (3) 2019: 1-6 - [c71]Kengo Hotate, Masahiro Kaneko, Satoru Katsumata, Mamoru Komachi:
Controlling Grammatical Error Correction Using Word Edit Rate. ACL (2) 2019: 149-154 - [c70]Aizhan Imankulova, Masahiro Kaneko, Mamoru Komachi:
Japanese-Russian TMU Neural Machine Translation System using Multilingual Model for WAT 2019. WAT@EMNLP-IJCNLP 2019: 165-170 - [c69]Satoru Katsumata, Mamoru Komachi:
(Almost) Unsupervised Grammatical Error Correction using Synthetic Comparable Corpus. BEA@ACL 2019: 134-138 - [c68]Masahiro Kaneko, Kengo Hotate, Satoru Katsumata, Mamoru Komachi:
TMU Transformer System Using BERT for Re-ranking at BEA 2019 Grammatical Error Correction on Restricted Track. BEA@ACL 2019: 207-212 - [c67]Mio Arai, Masahiro Kaneko, Mamoru Komachi:
Grammatical-Error-Aware Incorrect Example Retrieval System for Learners of Japanese as a Second Language. BEA@ACL 2019: 296-305 - [c66]Tosho Hirasawa, Mamoru Komachi:
Debiasing Word Embeddings Improves Multimodal Machine Translation. MTSummit (1) 2019: 32-42 - [c65]Tosho Hirasawa, Hayahide Yamagishi, Yukio Matsumura, Mamoru Komachi:
Multimodal Machine Translation with Embedding Prediction. NAACL-HLT (Student Research Workshop) 2019: 86-91 - [c64]Hikaru Omori, Mamoru Komachi:
Multi-Task Learning for Japanese Predicate Argument Structure Analysis. NAACL-HLT (1) 2019: 3404-3414 - [c63]Michiki Kurosawa, Mamoru Komachi:
Dynamic Fusion: Attentional Language Model for Neural Machine Translation. PACLING 2019: 99-111 - [c62]Hayahide Yamagishi, Mamoru Komachi:
Improving Context-Aware Neural Machine Translation with Target-Side Context. PACLING 2019: 112-122 - [c61]Keigo Takahashi, Hikaru Omori, Mamoru Komachi:
Japanese Predicate Argument Structure Analysis with Pointer Networks. PACLING 2019: 347-359 - [c60]Ryoma Yoshimura, Hiroki Shimanaka, Yukio Matsumura, Hayahide Yamagishi, Mamoru Komachi:
Filtering Pseudo-References by Paraphrasing for Automatic Evaluation of Machine Translation. WMT (2) 2019: 521-525 - [i21]Tomoya Ogata, Mamoru Komachi, Tomoya Takatani:
Divide and Generate: Neural Generation of Complex Sentences. CoRR abs/1901.10196 (2019) - [i20]Longtu Zhang, Mamoru Komachi:
Chinese-Japanese Unsupervised Neural Machine Translation Using Sub-character Level Information. CoRR abs/1903.00149 (2019) - [i19]Tosho Hirasawa, Hayahide Yamagishi, Yukio Matsumura, Mamoru Komachi:
Multimodal Machine Translation with Embedding Prediction. CoRR abs/1904.00639 (2019) - [i18]Hikaru Omori, Mamoru Komachi:
Multi-task Learning for Japanese Predicate Argument Structure Analysis. CoRR abs/1904.02244 (2019) - [i17]Masahiro Kaneko, Mamoru Komachi:
Multi-Head Multi-Layer Attention to Deep Language Representations for Grammatical Error Detection. CoRR abs/1904.07334 (2019) - [i16]Tosho Hirasawa, Mamoru Komachi:
Debiasing Word Embeddings Improves Multimodal Machine Translation. CoRR abs/1905.10464 (2019) - [i15]Satoru Katsumata, Mamoru Komachi:
Towards Unsupervised Grammatical Error Correction using Statistical Machine Translation with Synthetic Comparable Corpus. CoRR abs/1907.09724 (2019) - [i14]Hiroki Shimanaka, Tomoyuki Kajiwara, Mamoru Komachi:
Machine Translation Evaluation with BERT Regressor. CoRR abs/1907.12679 (2019) - [i13]Hayahide Yamagishi, Mamoru Komachi:
Improving Context-aware Neural Machine Translation with Target-side Context. CoRR abs/1909.00531 (2019) - [i12]Michiki Kurosawa, Mamoru Komachi:
Dynamic Fusion: Attentional Language Model for Neural Machine Translation. CoRR abs/1909.04879 (2019) - 2018
- [c59]Satoru Katsumata, Yukio Matsumura, Hayahide Yamagishi, Mamoru Komachi:
Graph-based Filtering of Out-of-Vocabulary Words for Encoder-Decoder Models. ACL (3) 2018: 112-119 - [c58]Yukio Matsumura, Satoru Katsumata, Mamoru Komachi:
TMU Japanese-English Neural Machine Translation System using Generative Adversarial Network for WAT 2018. WAT@PACLIC 2018 - [c57]Longtu Zhang, Yuting Zhao, Mamoru Komachi:
TMU Japanese-Chinese Unsupervised NMT System for WAT 2018 Translation Task. WAT@PACLIC 2018 - [c56]Tomoyuki Kajiwara, Mamoru Komachi:
Complex Word Identification Based on Frequency in a Learner Corpus. BEA@NAACL-HLT 2018: 195-199 - [c55]Masahiro Kaneko, Tomoyuki Kajiwara, Mamoru Komachi:
TMU System for SLAM-2018. BEA@NAACL-HLT 2018: 365-369 - [c54]Yuya Sakaizawa, Mamoru Komachi:
Construction of a Japanese Word Similarity Dataset. LREC 2018 - [c53]Michiki Kurosawa, Yukio Matsumura, Hayahide Yamagishi, Mamoru Komachi:
Japanese Predicate Conjugation for Neural Machine Translation. NAACL-HLT (Student Research Workshop) 2018: 100-105 - [c52]Hiroki Shimanaka, Tomoyuki Kajiwara, Mamoru Komachi:
Metric for Automatic Machine Translation Evaluation based on Universal Sentence Representations. NAACL-HLT (Student Research Workshop) 2018: 106-111 - [c51]Yoshiaki Kitagawa, Mamoru Komachi:
Long Short-Term Memory for Japanese Word Segmentation. PACLIC 2018 - [c50]Tomonori Kodaira, Mamoru Komachi:
The Rule of Three: Abstractive Text Summarization in Three Bullet Points. PACLIC 2018 - [c49]Ryosuke Miyazaki, Mamoru Komachi:
Japanese Sentiment Classification using a Tree-Structured Long Short-Term Memory with Attention. PACLIC 2018 - [c48]Longtu Zhang, Mamoru Komachi:
Neural Machine Translation of Logographic Language Using Sub-character Level Information. WMT 2018: 17-25 - [c47]Hiroki Shimanaka, Tomoyuki Kajiwara, Mamoru Komachi:
RUSE: Regressor Using Sentence Embeddings for Automatic Machine Translation Evaluation. WMT (shared task) 2018: 751-758 - [e1]Yuen-Hsien Tseng, Hsin-Hsi Chen, Vincent Ng, Mamoru Komachi:
Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications, NLP-TEA@ACL 2018, Melbourne, Australia, July 19, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-35-3 [contents] - [i11]Hiroki Shimanaka, Tomoyuki Kajiwara, Mamoru Komachi:
Metric for Automatic Machine Translation Evaluation based on Universal Sentence Representations. CoRR abs/1805.07469 (2018) - [i10]Michiki Kurosawa, Yukio Matsumura, Hayahide Yamagishi, Mamoru Komachi:
Japanese Predicate Conjugation for Neural Machine Translation. CoRR abs/1805.10047 (2018) - [i9]Satoru Katsumata, Yukio Matsumura, Hayahide Yamagishi, Mamoru Komachi:
Graph-based Filtering of Out-of-Vocabulary Words for Encoder-Decoder Models. CoRR abs/1805.11189 (2018) - [i8]Longtu Zhang, Mamoru Komachi:
Neural Machine Translation of Logographic Languages Using Sub-character Level Information. CoRR abs/1809.02694 (2018) - [i7]Tomonori Kodaira, Mamoru Komachi:
The Rule of Three: Abstractive Text Summarization in Three Bullet Points. CoRR abs/1809.10867 (2018) - 2017
- [c46]Yui Suzuki, Tomoyuki Kajiwara, Mamoru Komachi:
Building a Non-Trivial Paraphrase Corpus Using Multiple Machine Translation Systems. ACL (Student Research Workshop) 2017: 36-42 - [c45]Kent Shioda, Mamoru Komachi, Rue Ikeya, Daichi Mochihashi:
Suggesting Sentences for ESL using Kernel Embeddings. NLP-TEA@IJCNLP 2017: 64-68 - [c44]Yuuki Sekizawa, Tomoyuki Kajiwara, Mamoru Komachi:
Improving Japanese-to-English Neural Machine Translation by Paraphrasing the Target Language. WAT@IJCNLP 2017: 64-69 - [c43]Aizhan Imankulova, Takayuki Sato, Mamoru Komachi:
Improving Low-Resource Neural Machine Translation with Filtered Pseudo-Parallel Corpus. WAT@IJCNLP 2017: 70-78 - [c42]Yukio Matsumura, Mamoru Komachi:
Tokyo Metropolitan University Neural Machine Translation System for WAT 2017. WAT@IJCNLP 2017: 160-166 - [c41]Masahiro Kaneko, Yuya Sakaizawa, Mamoru Komachi:
Grammatical Error Detection Using Error- and Grammaticality-Specific Word Embeddings. IJCNLP(1) 2017: 40-48 - [c40]Tomoyuki Kajiwara, Mamoru Komachi, Daichi Mochihashi:
MIPA: Mutual Information Based Paraphrase Acquisition via Bilingual Pivoting. IJCNLP(1) 2017: 80-89 - [c39]Hayahide Yamagishi, Shin Kanouchi, Takayuki Sato, Mamoru Komachi:
Improving Japanese-to-English Neural Machine Translation by Voice Prediction. IJCNLP(2) 2017: 277-282 - [i6]Ai Hirata, Mamoru Komachi:
Sparse Named Entity Classification using Factorization Machines. CoRR abs/1703.04879 (2017) - [i5]Yuya Sakaizawa, Mamoru Komachi:
Construction of a Japanese Word Similarity Dataset. CoRR abs/1703.05916 (2017) - [i4]Junki Matsuo, Mamoru Komachi, Katsuhito Sudoh:
Word-Alignment-Based Segment-Level Machine Translation Evaluation using Word Embeddings. CoRR abs/1704.00380 (2017) - [i3]Ryosuke Miyazaki, Mamoru Komachi:
Japanese Sentiment Classification using a Tree-Structured Long Short-Term Memory with Attention. CoRR abs/1704.00924 (2017) - [i2]Yukio Matsumura, Takayuki Sato, Mamoru Komachi:
English-Japanese Neural Machine Translation with Encoder-Decoder-Reconstructor. CoRR abs/1706.08198 (2017) - [i1]Yoshiaki Kitagawa, Mamoru Komachi:
Long Short-Term Memory for Japanese Word Segmentation. CoRR abs/1709.08011 (2017) - 2016
- [c38]Tomonori Kodaira, Tomoyuki Kajiwara, Mamoru Komachi:
Controlled and Balanced Dataset for Japanese Lexical Simplification. ACL (Student Research Workshop) 2016: 1-7 - [c37]Yasunobu Asakura, Masatsugu Hangyo, Mamoru Komachi:
Disaster Analysis using User-Generated Weather Report. NUT@COLING 2016: 24-32 - [c36]Takayuki Sato, Jun Harashima, Mamoru Komachi:
Japanese-English Machine Translation of Recipe Texts. WAT@COLING 2016: 58-67 - [c35]Shin Kanouchi, Katsuhito Sudoh, Mamoru Komachi:
Neural Reordering Model Considering Phrase Translation and Word Alignment for Phrase-based Translation. WAT@COLING 2016: 94-103 - [c34]Hayahide Yamagishi, Shin Kanouchi, Takayuki Sato, Mamoru Komachi:
Controlling the Voice of a Sentence in Japanese-to-English Neural Machine Translation. WAT@COLING 2016: 203-210 - [c33]Tomoyuki Kajiwara, Mamoru Komachi:
Building a Monolingual Parallel Corpus for Text Simplification Using Sentence Similarity Based on Alignment between Word Embeddings. COLING 2016: 1147-1158 - [c32]Ryuichi Tachibana, Mamoru Komachi:
Analysis of English Spelling Errors in a Word-Typing Game. LREC 2016 - 2015
- [c31]Yoshiaki Kitagawa, Mamoru Komachi, Eiji Aramaki, Naoaki Okazaki, Hiroshi Ishikawa:
Disease Event Detection based on Deep Modality Analysis. ACL (Student Research Workshop) 2015: 28-34 - [c30]Shin Kanouchi, Mamoru Komachi, Naoaki Okazaki, Eiji Aramaki, Hiroshi Ishikawa:
Who caught a cold ? - Identifying the subject of a symptom. ACL (1) 2015: 1660-1670 - [c29]Yinchen Zhao, Mamoru Komachi, Hiroshi Ishikawa:
Improving Chinese Grammatical Error Correction with Corpus Augmentation and Hierarchical Phrase-based Statistical Machine Translation. NLP-TEA@ACL/IJCNLP 2015: 111-116 - [c28]Junki Matsuo, Kenichi Ohwada, Mamoru Komachi:
Source Phrase Segmentation and Translation for Japanese-English Translation Using Dependency Structure. WAT 2015: 99-104 - [c27]Peinan Zhang, Mamoru Komachi:
Japanese Sentiment Classification with Stacked Denoising Auto-Encoder using Distributed Word Representation. PACLIC 2015 - 2014
- [c26]Kenichi Ohwada, Ryosuke Miyazaki, Mamoru Komachi:
Predicate-Argument Structure-based Preordering for Japanese-English Statistical Machine Translation of Scientific Papers. WAT 2014: 44-49 - 2013
- [c25]Keisuke Sakaguchi, Yuki Arase, Mamoru Komachi:
Discriminative Approach to Fill-in-the-Blank Quiz Generation for Language Learners. ACL (2) 2013: 238-242 - [c24]Yu Sawai, Mamoru Komachi, Yuji Matsumoto:
A Learner Corpus-based Approach to Verb Suggestion for ESL. ACL (2) 2013: 708-713 - [c23]Tomoya Mizumoto, Yuta Hayashibe, Keisuke Sakaguchi, Mamoru Komachi, Yuji Matsumoto:
NAIST at the NLI 2013 Shared Task. BEA@NAACL-HLT 2013: 134-139 - [c22]Ippei Yoshimoto, Tomoya Kose, Kensuke Mitsuzawa, Keisuke Sakaguchi, Tomoya Mizumoto, Yuta Hayashibe, Mamoru Komachi, Yuji Matsumoto:
NAIST at 2013 CoNLL Grammatical Error Correction Shared Task. CoNLL Shared Task 2013: 26-33 - [c21]Hiromi Oyama, Mamoru Komachi, Yuji Matsumoto:
Towards Automatic Error Type Classification of Japanese Language Learners' Writings. PACLIC 2013 - 2012
- [c20]Toshikazu Tajiri, Mamoru Komachi, Yuji Matsumoto:
Tense and Aspect Error Correction for ESL Learners Using Global Context. ACL (2) 2012: 198-202 - [c19]Keisuke Sakaguchi, Yuta Hayashibe, Shuhei Kondo, Lis Kanashiro, Tomoya Mizumoto, Mamoru Komachi, Yuji Matsumoto:
NAIST at the HOO 2012 Shared Task. BEA@NAACL-HLT 2012: 281-288 - [c18]Tomoya Mizumoto, Yuta Hayashibe, Mamoru Komachi, Masaaki Nagata, Yuji Matsumoto:
The Effect of Learner Corpus Size in Grammatical Error Correction of ESL Writings. COLING (Posters) 2012: 863-872 - [c17]Keisuke Sakaguchi, Tomoya Mizumoto, Mamoru Komachi, Yuji Matsumoto:
Joint English Spelling Error Correction and POS Tagging for Language Learners Writing. COLING 2012: 2357-2374 - [c16]Toshinobu Ogiso, Mamoru Komachi, Yasuharu Den, Yuji Matsumoto:
UniDic for Early Middle Japanese: a Dictionary for Morphological Analysis of Classical Japanese. LREC 2012: 911-915 - 2011
- [c15]Tetsuo Kiso, Masashi Shimbo, Mamoru Komachi, Yuji Matsumoto:
HITS-based Seed Selection and Stop List Construction for Bootstrapping. ACL (2) 2011: 30-36 - [c14]Joseph Irwin, Mamoru Komachi, Yuji Matsumoto:
Narrative Schema as World Knowledge for Coreference Resolution. CoNLL Shared Task 2011: 86-92 - [c13]Kohei Ozaki, Masashi Shimbo, Mamoru Komachi, Yuji Matsumoto:
Using the Mutual k-Nearest Neighbor Graphs for Semi-supervised Classification on Natural Language Data. CoNLL 2011: 154-162 - [c12]Seiji Kasahara, Mamoru Komachi, Masaaki Nagata, Yuji Matsumoto:
Error Correcting Romaji-kana Conversion for Japanese Language Education. WTIM@IJCNLP 2011: 38-42 - [c11]Tomoya Mizumoto, Mamoru Komachi, Masaaki Nagata, Yuji Matsumoto:
Mining Revision Log of Language Learning SNS for Automated Japanese Error Correction of Second Language Learners. IJCNLP 2011: 147-155 - [c10]Yuta Hayashibe, Mamoru Komachi, Yuji Matsumoto:
Japanese Predicate Argument Structure Analysis Exploiting Argument Position and Type. IJCNLP 2011: 201-209 - [c9]Teruaki Oka, Mamoru Komachi, Toshinobu Ogiso, Yuji Matsumoto:
Automatic Labeling of Voiced Consonants for Morphological Analysis of Modern Japanese Literature. IJCNLP 2011: 292-300 - [c8]Kei Uchiumi, Mamoru Komachi, Keigo Machinaga, Toshiyuki Maezawa, Toshinori Satou, Yoshinori Kobayashi:
Japanese Abbreviation Expansion with Query and Clickthrough Logs. IJCNLP 2011: 410-419 - [c7]Shuhei Kondo, Mamoru Komachi, Yuji Matsumoto, Katsuhito Sudoh, Kevin Duh, Hajime Tsukada:
Learning of Linear Ordering Problems and its Application to J-E Patent Translation in NTCIR-9 PatentMT. NTCIR 2011
2000 – 2009
- 2009
- [c6]Mamoru Komachi, Shimpei Makimoto, Kei Uchiumi, Manabu Sassano:
Learning Semantic Categories from Clickthrough Logs. ACL/IJCNLP (2) 2009: 189-192 - 2008
- [c5]Mamoru Komachi, Taku Kudo, Masashi Shimbo, Yuji Matsumoto:
Graph-based Analysis of Semantic Drift in Espresso-like Bootstrapping Algorithms. EMNLP 2008: 1011-1020 - [c4]Mamoru Komachi, Hisami Suzuki:
Minimally Supervised Learning of Semantic Knowledge from Query Logs. IJCNLP 2008: 358-365 - [c3]Mamoru Komachi, Masaaki Nagata, Yuji Matsumoto:
NAIST-NTT System Description for Patent Translation Task at NTCIR-7. NTCIR 2008 - 2007
- [c2]Ryu Iida, Mamoru Komachi, Kentaro Inui, Yuji Matsumoto:
Annotating a Japanese Text Corpus with Predicate-Argument and Coreference Relations. LAW@ACL 2007: 132-139 - 2006
- [c1]Mamoru Komachi, Yuji Matsumoto, Masaaki Nagata:
Phrase reordering for statistical machine translation based on predicate-argument structure. IWSLT 2006: 77-82
Coauthor Index
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