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2020 – today
- 2024
[j31]Vijay Daultani, Héctor Javier Vázquez Martínez, Naoaki Okazaki:
Acceptability Evaluation of Naturally Written Sentences. J. Inf. Process. 32: 652-666 (2024)- [c146]Ryuto Koike, Masahiro Kaneko, Naoaki Okazaki:
OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated Examples. AAAI 2024: 21258-21266 - [c145]Masanari Ohi, Masahiro Kaneko, Ryuto Koike, Mengsay Loem, Naoaki Okazaki:
Likelihood-based Mitigation of Evaluation Bias in Large Language Models. ACL (Findings) 2024: 3237-3245 - [c144]Youmi Ma, An Wang, Naoaki Okazaki:
Building a Japanese Document-Level Relation Extraction Dataset Assisted by Cross-Lingual Transfer. LREC/COLING 2024: 2567-2579 - [c143]Masahiro Kaneko, Naoaki Okazaki:
Controlled Generation with Prompt Insertion for Natural Language Explanations in Grammatical Error Correction. LREC/COLING 2024: 3955-3961 - [c142]Panatchakorn Anantaprayoon, Masahiro Kaneko, Naoaki Okazaki:
Evaluating Gender Bias of Pre-trained Language Models in Natural Language Inference by Considering All Labels. LREC/COLING 2024: 6395-6408 - [c141]Marco Cognetta, Vilém Zouhar, Sangwhan Moon, Naoaki Okazaki:
Two Counterexamples to Tokenization and the Noiseless Channel. LREC/COLING 2024: 16897-16906 - [c140]Masahiro Kaneko, Graham Neubig, Naoaki Okazaki:
Solving NLP Problems through Human-System Collaboration: A Discussion-based Approach. EACL (Findings) 2024: 1644-1658 - [c139]Shota Koyama, Ryo Nagata, Hiroya Takamura, Naoaki Okazaki:
n-gram F-score for Evaluating Grammatical Error Correction. INLG 2024: 303-313 - [i60]Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki, Timothy Baldwin:
Evaluating Gender Bias in Large Language Models via Chain-of-Thought Prompting. CoRR abs/2401.15585 (2024) - [i59]Tatsuya Hiraoka, Naoaki Okazaki:
Knowledge of Pretrained Language Models on Surface Information of Tokens. CoRR abs/2402.09808 (2024) - [i58]Marco Cognetta, Vilém Zouhar, Sangwhan Moon, Naoaki Okazaki:
Two Counterexamples to Tokenization and the Noiseless Channel. CoRR abs/2402.14614 (2024) - [i57]Masanari Ohi, Masahiro Kaneko, Ryuto Koike, Mengsay Loem, Naoaki Okazaki:
Likelihood-based Mitigation of Evaluation Bias in Large Language Models. CoRR abs/2402.15987 (2024) - [i56]Koki Maeda, Shuhei Kurita, Taiki Miyanishi, Naoaki Okazaki:
Vision Language Model-based Caption Evaluation Method Leveraging Visual Context Extraction. CoRR abs/2402.17969 (2024) - [i55]Marco Cognetta, Tatsuya Hiraoka, Naoaki Okazaki, Rico Sennrich, Yuval Pinter:
An Analysis of BPE Vocabulary Trimming in Neural Machine Translation. CoRR abs/2404.00397 (2024) - [i54]Masahiro Kaneko, Youmi Ma, Yuki Wata, Naoaki Okazaki:
Sampling-based Pseudo-Likelihood for Membership Inference Attacks. CoRR abs/2404.11262 (2024) - [i53]Youmi Ma, An Wang, Naoaki Okazaki:
Building a Japanese Document-Level Relation Extraction Dataset Assisted by Cross-Lingual Transfer. CoRR abs/2404.16506 (2024) - [i52]Naoaki Okazaki, Kakeru Hattori, Hirai Shota, Hiroki Iida, Masanari Ohi, Kazuki Fujii, Taishi Nakamura, Mengsay Loem, Rio Yokota, Sakae Mizuki:
Building a Large Japanese Web Corpus for Large Language Models. CoRR abs/2404.17733 (2024) - [i51]Kazuki Fujii, Taishi Nakamura, Mengsay Loem, Hiroki Iida, Masanari Ohi, Kakeru Hattori, Hirai Shota, Sakae Mizuki, Rio Yokota, Naoaki Okazaki:
Continual Pre-Training for Cross-Lingual LLM Adaptation: Enhancing Japanese Language Capabilities. CoRR abs/2404.17790 (2024) - [i50]Rem Hida, Masahiro Kaneko, Naoaki Okazaki:
Social Bias Evaluation for Large Language Models Requires Prompt Variations. CoRR abs/2407.03129 (2024) - [i49]Akiko Aizawa, Eiji Aramaki, Bowen Chen, Fei Cheng, Hiroyuki Deguchi, Rintaro Enomoto, Kazuki Fujii, Kensuke Fukumoto, Takuya Fukushima, Namgi Han, Yuto Harada, Chikara Hashimoto, Tatsuya Hiraoka, Shohei Hisada, Sosuke Hosokawa, Lu Jie, Keisuke Kamata, Teruhito Kanazawa, Hiroki Kanezashi, Hiroshi Kataoka, Satoru Katsumata, Daisuke Kawahara, Seiya Kawano, Atsushi Keyaki, Keisuke Kiryu, Hirokazu Kiyomaru, Takashi Kodama, Takahiro Kubo, Yohei Kuga, Ryoma Kumon, Shuhei Kurita, Sadao Kurohashi, Conglong Li, Taiki Maekawa, Hiroshi Matsuda, Yusuke Miyao, Kentaro Mizuki, Sakae Mizuki, Yugo Murawaki, Ryo Nakamura, Taishi Nakamura, Kouta Nakayama, Tomoka Nakazato, Takuro Niitsuma, Jiro Nishitoba, Yusuke Oda, Hayato Ogawa, Takumi Okamoto, Naoaki Okazaki, Yohei Oseki, Shintaro Ozaki, Koki Ryu, Rafal Rzepka, Keisuke Sakaguchi, Shota Sasaki, Satoshi Sekine, Kohei Suda, Saku Sugawara, Issa Sugiura, Hiroaki Sugiyama, Hisami Suzuki, Jun Suzuki, Toyotaro Suzumura, Kensuke Tachibana, Yu Takagi, Kyosuke Takami, Koichi Takeda, Masashi Takeshita, Masahiro Tanaka, Kenjiro Taura, Arseny Tolmachev, Nobuhiro Ueda, Zhen Wan, Shuntaro Yada, Sakiko Yahata, Yuya Yamamoto, Yusuke Yamauchi, Hitomi Yanaka, Rio Yokota, Koichiro Yoshino:
LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs. CoRR abs/2407.03963 (2024) - [i48]An Wang, Xingwu Sun, Ruobing Xie, Shuaipeng Li, Jiaqi Zhu, Zhen Yang, Pinxue Zhao, J. N. Han, Zhanhui Kang, Di Wang, Naoaki Okazaki, Cheng-Zhong Xu:
HMoE: Heterogeneous Mixture of Experts for Language Modeling. CoRR abs/2408.10681 (2024) - [i47]Marco Cognetta, Vilém Zouhar, Naoaki Okazaki:
Distributional Properties of Subword Regularization. CoRR abs/2408.11443 (2024) - 2023
- [j30]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) - [j29]Ayana Niwa, Sho Takase, Naoaki Okazaki:
Nearest Neighbor Non-autoregressive Text Generation. J. Inf. Process. 31: 344-352 (2023) - [j28]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) - [c138]Zhishen Yang, Raj Dabre, Hideki Tanaka, Naoaki Okazaki:
SciCap+: A Knowledge Augmented Dataset to Study the Challenges of Scientific Figure Captioning. SDU@AAAI 2023 - [c137]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 - [c136]Youmi Ma, An Wang, Naoaki Okazaki:
DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction. EACL 2023: 1963-1975 - [c135]Hiyori Yoshikawa, Naoaki Okazaki:
Selective-LAMA: Selective Prediction for Confidence-Aware Evaluation of Language Models. EACL (Findings) 2023: 1972-1983 - [c134]Marco Cognetta, Sangwhan Moon, Lawrence Wolf-Sonkin, Naoaki Okazaki:
Parameter-Efficient Korean Character-Level Language Modeling. EACL 2023: 2342-2348 - [c133]Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki:
Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples. EACL 2023: 2849-2855 - [c132]Sakae Mizuki, Naoaki Okazaki:
Semantic Specialization for Knowledge-based Word Sense Disambiguation. EACL 2023: 3449-3462 - [c131]Koki Maeda, Shuhei Kurita, Taiki Miyanishi, Naoaki Okazaki:
Query-based Image Captioning from Multi-context 360cdegree Images. EMNLP (Findings) 2023: 6940-6954 - [c130]Trang Nguyen, Naoaki Okazaki:
Causal Reasoning through Two Cognition Layers for Improving Generalization in Visual Question Answering. EMNLP 2023: 9221-9236 - [c129]Masahiro Kaneko, Naoaki Okazaki:
Reducing Sequence Length by Predicting Edit Spans with Large Language Models. EMNLP 2023: 10017-10029 - [c128]Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki:
The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated. IJCNLP (2) 2023: 29-36 - [c127]Shota Koyama, Hiroya Takamura, Naoaki Okazaki:
The Tokyo Tech and AIST System at the GenChal 2022 Shared Task on Feedback Comment Generation. INLG (Generation Challenges) 2023: 74-78 - [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] - [i46]Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki:
Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples. CoRR abs/2301.12074 (2023) - [i45]Youmi Ma, An Wang, Naoaki Okazaki:
DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction. CoRR abs/2302.08675 (2023) - [i44]Sakae Mizuki, Naoaki Okazaki:
Semantic Specialization for Knowledge-based Word Sense Disambiguation. CoRR abs/2304.11340 (2023) - [i43]Masahiro Kaneko, Graham Neubig, Naoaki Okazaki:
Solving NLP Problems through Human-System Collaboration: A Discussion-based Approach. CoRR abs/2305.11789 (2023) - [i42]Masahiro Kaneko, Naoaki Okazaki:
Reducing Sequence Length by Predicting Edit Operations with Large Language Models. CoRR abs/2305.11862 (2023) - [i41]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) - [i40]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) - [i39]Ryuto Koike, Masahiro Kaneko, Naoaki Okazaki:
OUTFOX: LLM-generated Essay Detection through In-context Learning with Adversarially Generated Examples. CoRR abs/2307.11729 (2023) - [i38]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) - [i37]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) - [i36]Masahiro Kaneko, Naoaki Okazaki:
Controlled Generation with Prompt Insertion for Natural Language Explanations in Grammatical Error Correction. CoRR abs/2309.11439 (2023) - [i35]Trang Nguyen, Naoaki Okazaki:
Causal Reasoning through Two Layers of Cognition for Improving Generalization in Visual Question Answering. CoRR abs/2310.05410 (2023) - [i34]Mengsay Loem, Masahiro Kaneko, Naoaki Okazaki:
SAIE Framework: Support Alone Isn't Enough - Advancing LLM Training with Adversarial Remarks. CoRR abs/2311.08107 (2023) - [i33]Ryuto Koike, Masahiro Kaneko, Naoaki Okazaki:
How You Prompt Matters! Even Task-Oriented Constraints in Instructions Affect LLM-Generated Text Detection. CoRR abs/2311.08369 (2023) - 2022
- [j27]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) - [j26]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
- [j25]Sangwhan Moon, Naoaki Okazaki:
Effects and Mitigation of Out-of-vocabulary in Universal Language Models. J. Inf. Process. 29: 490-503 (2021) - [j24]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) - [j23]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
- [j22]