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2020 – today
- 2023
[j28]Ao Liu, Congjian Luo, Naoaki Okazaki:
Improving Logical-level Natural Language Generation with Topic-conditioned Data Augmentation and Logical Form Generation. J. Inf. Process. 31: 332-343 (2023)- [j27]Ayana Niwa, Sho Takase, Naoaki Okazaki:
Nearest Neighbor Non-autoregressive Text Generation. J. Inf. Process. 31: 344-352 (2023) - [c132]Mengsay Loem, Masahiro Kaneko, Sho Takase, Naoaki Okazaki:
Exploring Effectiveness of GPT-3 in Grammatical Error Correction: A Study on Performance and Controllability in Prompt-Based Methods. BEA@ACL 2023: 205-219 - [c131]Youmi Ma, An Wang, Naoaki Okazaki:
DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction. EACL 2023: 1963-1975 - [c130]Hiyori Yoshikawa, Naoaki Okazaki:
Selective-LAMA: Selective Prediction for Confidence-Aware Evaluation of Language Models. EACL (Findings) 2023: 1972-1983 - [c129]Marco Cognetta, Sangwhan Moon, Lawrence Wolf-Sonkin, Naoaki Okazaki:
Parameter-Efficient Korean Character-Level Language Modeling. EACL 2023: 2342-2348 - [c128]Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki:
Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples. EACL 2023: 2849-2855 - [c127]Sakae Mizuki, Naoaki Okazaki:
Semantic Specialization for Knowledge-based Word Sense Disambiguation. EACL 2023: 3449-3462 - [c126]An Wang, Junfeng Jiang, Youmi Ma, Ao Liu, Naoaki Okazaki:
Generative Data Augmentation for Aspect Sentiment Quad Prediction. *SEM@ACL 2023: 128-140 - [e6]Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki:
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-72-2 [contents] - [e5]Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki:
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), ACL 2023, Toronto, Canada, July 9-14, 2023. Association for Computational Linguistics 2023 [contents] - [e4]Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki:
Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-62-3 [contents] - [i43]Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki:
Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples. CoRR abs/2301.12074 (2023) - [i42]Youmi Ma, An Wang, Naoaki Okazaki:
DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction. CoRR abs/2302.08675 (2023) - [i41]Sakae Mizuki, Naoaki Okazaki:
Semantic Specialization for Knowledge-based Word Sense Disambiguation. CoRR abs/2304.11340 (2023) - [i40]Masahiro Kaneko, Graham Neubig, Naoaki Okazaki:
Solving NLP Problems through Human-System Collaboration: A Discussion-based Approach. CoRR abs/2305.11789 (2023) - [i39]Masahiro Kaneko, Naoaki Okazaki:
Reducing Sequence Length by Predicting Edit Operations with Large Language Models. CoRR abs/2305.11862 (2023) - [i38]Mengsay Loem, Masahiro Kaneko, Sho Takase, Naoaki Okazaki:
Exploring Effectiveness of GPT-3 in Grammatical Error Correction: A Study on Performance and Controllability in Prompt-Based Methods. CoRR abs/2305.18156 (2023) - [i37]Zhishen Yang, Raj Dabre, Hideki Tanaka, Naoaki Okazaki:
SciCap+: A Knowledge Augmented Dataset to Study the Challenges of Scientific Figure Captioning. CoRR abs/2306.03491 (2023) - [i36]Ryuto Koike, Masahiro Kaneko, Naoaki Okazaki:
OUTFOX: LLM-generated Essay Detection through In-context Learning with Adversarially Generated Examples. CoRR abs/2307.11729 (2023) - [i35]Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki:
The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated. CoRR abs/2309.09092 (2023) - [i34]Panatchakorn Anantaprayoon, Masahiro Kaneko, Naoaki Okazaki:
Evaluating Gender Bias of Pre-trained Language Models in Natural Language Inference by Considering All Labels. CoRR abs/2309.09697 (2023) - [i33]Masahiro Kaneko, Naoaki Okazaki:
Controlled Generation with Prompt Insertion for Natural Language Explanations in Grammatical Error Correction. CoRR abs/2309.11439 (2023) - 2022
- [j26]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) - [j25]Tatsuya Hiraoka, Sho Takase, Kei Uchiumi, Atsushi Keyaki, Naoaki Okazaki:
Recurrent Neural Hidden Markov Model for High-order Transition. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(2): 36:1-36:15 (2022) - [c125]Sho Takase, Tatsuya Hiraoka, Naoaki Okazaki:
Single Model Ensemble for Subword Regularized Models in Low-Resource Machine Translation. ACL (Findings) 2022: 2536-2541 - [c124]Tatsuya Hiraoka, Sho Takase, Kei Uchiumi, Atsushi Keyaki, Naoaki Okazaki:
Word-level Perturbation Considering Word Length and Compositional Subwords. ACL (Findings) 2022: 3268-3275 - [c123]Ao Liu, An Wang, Naoaki Okazaki:
Semi-Supervised Formality Style Transfer with Consistency Training. ACL (1) 2022: 4689-4701 - [c122]Masahiro Kaneko, Sho Takase, Ayana Niwa, Naoaki Okazaki:
Interpretability for Language Learners Using Example-Based Grammatical Error Correction. ACL (1) 2022: 7176-7187 - [c121]Youmi Ma, Tatsuya Hiraoka, Naoaki Okazaki:
Joint Entity and Relation Extraction Based on Table Labeling Using Convolutional Neural Networks. SPNLP@ACL 2022: 11-21 - [c120]Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki:
Debiasing Isn't Enough! - on the Effectiveness of Debiasing MLMs and Their Social Biases in Downstream Tasks. COLING 2022: 1299-1310 - [c119]Koki Maeda, Masahiro Kaneko, Naoaki Okazaki:
IMPARA: Impact-Based Metric for GEC Using Parallel Data. COLING 2022: 3578-3588 - [c118]Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki:
Gender Bias in Meta-Embeddings. EMNLP (Findings) 2022: 3118-3133 - [c117]Ao Liu, Haoyu Dong, Naoaki Okazaki, Shi Han, Dongmei Zhang:
PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation. EMNLP 2022: 5531-5546 - [c116]Hiroki Iida, Naoaki Okazaki:
Unsupervised Domain Adaptation for Sparse Retrieval by Filling Vocabulary and Word Frequency Gaps. AACL/IJCNLP (1) 2022: 752-765 - [c115]Sho Takase, Naoaki Okazaki:
Multi-Task Learning for Cross-Lingual Abstractive Summarization. LREC 2022: 3008-3016 - [c114]Sangwhan Moon, Won-Ik Cho, Hye Joo Han, Naoaki Okazaki, Nam Soo Kim:
OpenKorPOS: Democratizing Korean Tokenization with Voting-Based Open Corpus Annotation. LREC 2022: 4975-4983 - [c113]Hwichan Kim, Sangwhan Moon, Naoaki Okazaki, Mamoru Komachi:
Learning How to Translate North Korean through South Korean. LREC 2022: 6711-6718 - [c112]Mengsay Loem, Sho Takase, Masahiro Kaneko, Naoaki Okazaki:
ExtraPhrase: Efficient Data Augmentation for Abstractive Summarization. NAACL-HLT (Student Research Workshop) 2022: 16-24 - [c111]Masahiro Kaneko, Aizhan Imankulova, Danushka Bollegala, Naoaki Okazaki:
Gender Bias in Masked Language Models for Multiple Languages. NAACL-HLT 2022: 2740-2750 - [c110]Vijay Daultani, Naoaki Okazaki:
Improving Automatic Evaluation of Acceptability Based on Language Models with a Coarse Sentence Representation. PACLIC 2022: 109-118 - [c109]Hsuan-Yu Kuo, Youmi Ma, Naoaki Okazaki:
Annotating Entity and Causal Relationships on Japanese Vehicle Recall Information. PACLIC 2022: 783-791 - [c108]May Kristine Jonson Carlon, Sangwhan Moon, Naoaki Okazaki, Jeffrey S. Cross:
Predicting Guesses and Slips Through Question Encoding with Complexity Hints. TALE 2022: 284-291 - [e3]Luciana Benotti, Naoaki Okazaki, Yves Scherrer, Marcos Zampieri:
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, ACL 2022 - Tutorial Abstracts, Dublin, Ireland, May 22-27, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-20-9 [contents] - [i32]Mengsay Loem, Sho Takase, Masahiro Kaneko, Naoaki Okazaki:
ExtraPhrase: Efficient Data Augmentation for Abstractive Summarization. CoRR abs/2201.05313 (2022) - [i31]Hwichan Kim, Sangwhan Moon, Naoaki Okazaki, Mamoru Komachi:
Learning How to Translate North Korean through South Korean. CoRR abs/2201.11258 (2022) - [i30]Masahiro Kaneko, Sho Takase, Ayana Niwa, Naoaki Okazaki:
Interpretability for Language Learners Using Example-Based Grammatical Error Correction. CoRR abs/2203.07085 (2022) - [i29]Sho Takase, Tatsuya Hiraoka, Naoaki Okazaki:
Single Model Ensemble for Subword Regularized Models in Low-Resource Machine Translation. CoRR abs/2203.13528 (2022) - [i28]Ao Liu, An Wang, Naoaki Okazaki:
Semi-Supervised Formality Style Transfer with Consistency Training. CoRR abs/2203.13620 (2022) - [i27]Masahiro Kaneko, Aizhan Imankulova, Danushka Bollegala, Naoaki Okazaki:
Gender Bias in Masked Language Models for Multiple Languages. CoRR abs/2205.00551 (2022) - [i26]Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki:
Gender Bias in Meta-Embeddings. CoRR abs/2205.09867 (2022) - [i25]Ao Liu, Haoyu Dong, Naoaki Okazaki, Shi Han, Dongmei Zhang:
PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation. CoRR abs/2205.12697 (2022) - [i24]Mengsay Loem, Sho Takase, Masahiro Kaneko, Naoaki Okazaki:
Are Neighbors Enough? Multi-Head Neural n-gram can be Alternative to Self-attention. CoRR abs/2207.13354 (2022) - [i23]Ayana Niwa, Sho Takase, Naoaki Okazaki:
Nearest Neighbor Non-autoregressive Text Generation. CoRR abs/2208.12496 (2022) - [i22]Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki:
Debiasing isn't enough! - On the Effectiveness of Debiasing MLMs and their Social Biases in Downstream Tasks. CoRR abs/2210.02938 (2022) - [i21]Hiroki Iida, Naoaki Okazaki:
Unsupervised Domain Adaptation for Sparse Retrieval by Filling Vocabulary and Word Frequency Gaps. CoRR abs/2211.03988 (2022) - 2021
- [j24]Sangwhan Moon, Naoaki Okazaki:
Effects and Mitigation of Out-of-vocabulary in Universal Language Models. J. Inf. Process. 29: 490-503 (2021) - [j23]Emanuele Bugliarello, Ryan Cotterell, Naoaki Okazaki, Desmond Elliott:
Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTs. Trans. Assoc. Comput. Linguistics 9: 978-994 (2021) - [j22]Ayana Niwa, Naoaki Okazaki, Kohei Wakimoto, Keisuke Nishiguchi, Masataka Mouri:
Construction of a Corpus of Rhetorical Devices in Slogans and Structural Analysis of Antitheses. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(6): 110:1-110:26 (2021) - [c107]Tatsuya Hiraoka, Sho Takase, Kei Uchiumi, Atsushi Keyaki, Naoaki Okazaki:
Joint Optimization of Tokenization and Downstream Model. ACL/IJCNLP (Findings) 2021: 244-255 - [c106]Wiem Ben Rim, Carolin Lawrence, Kiril Gashteovski, Mathias Niepert, Naoaki Okazaki:
Behavioral Testing of Knowledge Graph Embedding Models for Link Prediction. AKBC 2021 - [c105]Kosuke Yamada, Yuta Hitomi, Hideaki Tamori, Ryohei Sasano, Naoaki Okazaki, Kentaro Inui, Koichi Takeda:
Transformer-based Lexically Constrained Headline Generation. EMNLP (1) 2021: 4085-4090 - [c104]Ayana Niwa, Keisuke Nishiguchi, Naoaki Okazaki:
Predicting Antonyms in Context using BERT. INLG 2021: 48-54 - [c103]Shota Koyama, Hiroya Takamura, Naoaki Okazaki:
Various Errors Improve Neural Grammatical Error Correction. PACLIC 2021: 251-261 - [c102]Hiroki Iida, Naoaki Okazaki:
Incorporating Semantic Textual Similarity and Lexical Matching for Information Retrieval. PACLIC 2021: 582-591 - [e2]Naoaki Okazaki, Katsutoshi Yada, Ken Satoh, Koji Mineshima:
New Frontiers in Artificial Intelligence - JSAI-isAI 2020 Workshops, JURISIN, LENLS 2020 Workshops, Virtual Event, November 15-17, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12758, Springer 2021, ISBN 978-3-030-79941-0 [contents] - [i20]Tatsuya Hiraoka, Sho Takase, Kei Uchiumi, Atsushi Keyaki, Naoaki Okazaki:
Joint Optimization of Tokenization and Downstream Model. CoRR abs/2105.12410 (2021) - [i19]Kosuke Yamada, Yuta Hitomi, Hideaki Tamori, Ryohei Sasano, Naoaki Okazaki, Kentaro Inui, Koichi Takeda:
Transformer-based Lexically Constrained Headline Generation. CoRR abs/2109.07080 (2021) - [i18]Ao Liu, Congjian Luo, Naoaki Okazaki:
Improving Logical-Level Natural Language Generation with Topic-Conditioned Data Augmentation and Logical Form Generation. CoRR abs/2112.06240 (2021) - 2020
- [c101]Kazuki Matsumaru, Sho Takase, Naoaki Okazaki:
Improving Truthfulness of Headline Generation. ACL 2020: 1335-1346 - [c100]Emanuele Bugliarello, Naoaki Okazaki:
Enhancing Machine Translation with Dependency-Aware Self-Attention. ACL 2020: 1618-1627 - [c99]Emanuele Bugliarello, Sabrina J. Mielke, Antonios Anastasopoulos, Ryan Cotterell, Naoaki Okazaki:
It's Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information. ACL 2020: 1640-1649 - [c98]Zhishen Yang, Naoaki Okazaki:
Image Caption Generation for News Articles. COLING 2020: 1941-1951 - [c97]Tatsuya Hiraoka, Sho Takase, Kei Uchiumi, Atsushi Keyaki, Naoaki Okazaki:
Optimizing Word Segmentation for Downstream Task. EMNLP (Findings) 2020: 1341-1351 - [c96]Sangwhan Moon, Naoaki Okazaki:
PatchBERT: Just-in-Time, Out-of-Vocabulary Patching. EMNLP (1) 2020: 7846-7852 - [c95]Shin Kanouchi, Masato Neishi, Yuta Hayashibe, Hiroki Ouchi, Naoaki Okazaki:
You May Like This Hotel Because ...: Identifying Evidence for Explainable Recommendations. AACL/IJCNLP 2020: 890-899 - [c94]Sangwhan Moon, Naoaki Okazaki:
Jamo Pair Encoding: Subcharacter Representation-based Extreme Korean Vocabulary Compression for Efficient Subword Tokenization. LREC 2020: 3490-3497 - [c93]Sho Shimazu, Sho Takase, Toshiaki Nakazawa, Naoaki Okazaki:
Evaluation Dataset for Zero Pronoun in Japanese to English Translation. LREC 2020: 3630-3634 - [c92]Wiem Ben Rim, Naoaki Okazaki:
SWAGex at SemEval-2020 Task 4: Commonsense Explanation as Next Event Prediction. SemEval@COLING 2020: 422-429 - [c91]Zhishen Yang, Lars Wolfsteller, Naoaki Okazaki:
TextLearner at SemEval-2020 Task 10: A Contextualized Ranking System in Solving Emphasis Selection in Text. SemEval@COLING 2020: 1691-1697 - [e1]Maki Sakamoto, Naoaki Okazaki, Koji Mineshima, Ken Satoh:
New Frontiers in Artificial Intelligence - JSAI-isAI International Workshops, JURISIN, AI-Biz, LENLS, Kansei-AI, Yokohama, Japan, November 10-12, 2019, Revised Selected Papers. Lecture Notes in Computer Science 12331, Springer 2020, ISBN 978-3-030-58789-5 [contents] - [i17]Kazuki Matsumaru, Sho Takase, Naoaki Okazaki:
Improving Truthfulness of Headline Generation. CoRR abs/2005.00882 (2020) - [i16]Emanuele Bugliarello, Sabrina J. Mielke, Antonios Anastasopoulos, Ryan Cotterell, Naoaki Okazaki:
It's Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information. CoRR abs/2005.02354 (2020) - [i15]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) - [i14]Sho Takase, Naoaki Okazaki:
Multi-Task Learning for Cross-Lingual Abstractive Summarization. CoRR abs/2010.07503 (2020) - [i13]Youmi Ma, Tatsuya Hiraoka, Naoaki Okazaki:
Named Entity Recognition and Relation Extraction using Enhanced Table Filling by Contextualized Representations. CoRR abs/2010.07522 (2020) - [i12]Emanuele Bugliarello, Ryan Cotterell, Naoaki Okazaki, Desmond Elliott:
Multimodal Pretraining Unmasked: Unifying the Vision and Language BERTs. CoRR abs/2011.15124 (2020)
2010 – 2019
- 2019
- [j21]Kazuaki Hanawa, Akira Sasaki, Naoaki Okazaki, Kentaro Inui:
Stance Detection Attending External Knowledge from Wikipedia. J. Inf. Process. 27: 499-506 (2019) - [c90]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 - [c89]Sakae Mizuki, Naoaki Okazaki:
Analyzing the Variation Property of Contextualized Word Representations. Australasian Conference on Artificial Intelligence 2019: 393-405 - [c88]Yuichi Sasazawa, Sho Takase, Naoaki Okazaki:
Neural Question Generation using Interrogative Phrases. INLG 2019: 106-111 - [c87]Yuta Hitomi, Yuya Taguchi, Hideaki Tamori, Ko Kikuta, Jiro Nishitoba, Naoaki Okazaki, Kentaro Inui, Manabu Okumura:
A Large-Scale Multi-Length Headline Corpus for Analyzing Length-Constrained Headline Generation Model Evaluation. INLG 2019: 333-343 - [c86]Sho Takase, Naoaki Okazaki:
Positional Encoding to Control Output Sequence Length. NAACL-HLT (1) 2019: 3999-4004 - [c85]Zhishen Yang, Sam Vijlbrief, Naoaki Okazaki:
TokyoTech_NLP at SemEval-2019 Task 3: Emotion-related Symbols in Emotion Detection. SemEval@NAACL-HLT 2019: 350-354 - [i11]Yuta Hitomi, Yuya Taguchi, Hideaki Tamori, Ko Kikuta, Jiro Nishitoba, Naoaki Okazaki, Kentaro Inui, Manabu Okumura:
A Large-Scale Multi-Length Headline Corpus for Improving Length-Constrained Headline Generation Model Evaluation. CoRR abs/1903.11771 (2019) - [i10]Sho Takase, Naoaki Okazaki:
Positional Encoding to Control Output Sequence Length. CoRR abs/1904.07418 (2019) - [i9]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) - [i8]Emanuele Bugliarello, Naoaki Okazaki:
Improving Neural Machine Translation with Parent-Scaled Self-Attention. CoRR abs/1909.03149 (2019) - 2018
- [j20]Masatoshi Suzuki, Koji Matsuda, Satoshi Sekine, Naoaki Okazaki, Kentaro Inui:
A Joint Neural Model for Fine-Grained Named Entity Classification of Wikipedia Articles. IEICE Trans. Inf. Syst. 101-D(1): 73-81 (2018) - [c84]Diana Galvan, Naoaki Okazaki, Koji Matsuda, Kentaro Inui:
Investigating the Challenges of Temporal Relation Extraction from Clinical Text. Louhi@EMNLP 2018: 55-64 - [c83]Akira Sasaki, Kazuaki Hanawa, Naoaki Okazaki, Kentaro Inui:
Predicting Stances from Social Media Posts using Factorization Machines. COLING 2018: 3381-3390 - [c82]Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, Masaaki Nagata:
Unsupervised Token-wise Alignment to Improve Interpretation of Encoder-Decoder Models. BlackboxNLP@EMNLP 2018: 74-81 - [c81]Natsuda Laokulrat, Naoaki Okazaki, Hideki Nakayama:
Incorporating Semantic Attention in Video Description Generation. LREC 2018 - [c80]Diep Thi Ngoc Nguyen, Hideki Nakayama, Naoaki Okazaki, Tatsuya Sakaeda:
PoB: Toward Reasoning Patterns of Beauty in Image Data. ACM Multimedia 2018: 1786-1793 - [c79]Kaori Abe, Yuichiroh Matsubayashi, Naoaki Okazaki, Kentaro Inui:
Multi-dialect Neural Machine Translation and Dialectometry. PACLIC 2018 - [c78]Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, Masaaki Nagata:
Reducing Odd Generation from Neural Headline Generation. PACLIC 2018 - 2017
- [j19]Koji Matsuda, Akira Sasaki, Naoaki Okazaki, Kentaro Inui:
Geographical Entity Annotated Corpus of Japanese Microblogs. J. Inf. Process. 25: 121-130 (2017) - [j18]Shuangshuang Zhou, Naoaki Okazaki, Koji Matsuda, Ran Tian, Kentaro Inui:
Supervised Approaches for Japanese Wikification. J. Inf. Process. 25: 341-350 (2017) - [j17]Ran Tian, Naoaki Okazaki, Kentaro Inui:
The mechanism of additive composition. Mach. Learn. 106(7): 1083-1130 (2017) - [c77]Akira Sasaki, Kazuaki Hanawa, Naoaki Okazaki, Kentaro Inui:
Other Topics You May Also Agree or Disagree: Modeling Inter-Topic Preferences using Tweets and Matrix Factorization. ACL (1) 2017: 398-408 - [c76]Koji Matsuda, Mizuki Sango, Naoaki Okazaki, Kentaro Inui:
Monitoring Geographical Entities with Temporal Awareness in Tweets. CICLing (2) 2017: 379-390 - [c75]Hideaki Tamori, Yuta Hitomi, Naoaki Okazaki, Kentaro Inui:
Analyzing the Revision Logs of a Japanese Newspaper for Article Quality Assessment. NLPmJ@EMNLP 2017: 46-50 - [c74]Sho Yokoi, Daichi Mochihashi, Ryo Takahashi, Naoaki Okazaki, Kentaro Inui:
Learning Co-Substructures by Kernel Dependence Maximization. IJCAI 2017: 3329-3335 - [c73]Yuta Hitomi, Hideaki Tamori, Naoaki Okazaki, Kentaro Inui:
Proofread Sentence Generation as Multi-Task Learning with Editing Operation Prediction. IJCNLP(2) 2017: 436-441 - [c72]Sosuke Kobayashi, Naoaki Okazaki, Kentaro Inui:
A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse. IJCNLP(1) 2017: 473-483 - [c71]Shota Sasaki, Sho Takase, Naoya Inoue, Naoaki Okazaki, Kentaro Inui:
Handling Multiword Expressions in Causality Estimation. IWCS(2) 2017 - [c70]Kazuaki Hanawa, Akira Sasaki, Naoaki Okazaki, Kentaro Inui:
A Crowdsourcing Approach for Annotating Causal Relation Instances in Wikipedia. PACLIC 2017: 336-345 - [i7]Akira Sasaki, Kazuaki Hanawa, Naoaki Okazaki, Kentaro Inui:
Other Topics You May Also Agree or Disagree: Modeling Inter-Topic Preferences using Tweets and Matrix Factorization. CoRR abs/1704.07986 (2017) - [i6]Sho Takase, Naoaki Okazaki, Kentaro Inui:
Composing Distributed Representations of Relational Patterns. CoRR abs/1707.07265 (2017) - [i5]Sosuke Kobayashi, Naoaki Okazaki, Kentaro Inui:
A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse. CoRR abs/1709.01679 (2017) - [i4]