| 2026 | ACL | ExaGPT: Example-Based Machine-Generated Text Detection for Human Interpretability. | Ryuto Koike, Masahiro Kaneko, Ayana Niwa, Preslav Nakov, Naoaki Okazaki |
| 2026 | ACL | From Interpretability to Performance: Optimizing Retrieval Heads for Long-Context Language Models. | Youmi Ma, Naoaki Okazaki |
| 2026 | LREC | Evaluating Discriminability of Vision-Language Models. | Masayasu Muraoka, Naoaki Okazaki |
| 2026 | LREC | Multi-modal, Multi-task, Multi-criteria Automatic Evaluation with Vision Language Models. | Masanari Oi, Masahiro Kaneko, Naoaki Okazaki, Nakamasa Inoue |
| 2025 | ACL | Sampling-based Pseudo-Likelihood for Membership Inference Attacks. | Masahiro Kaneko, Youmi Ma, Yuki Wata, Naoaki Okazaki |
| 2025 | EMNLP | Social Bias Evaluation for Large Language Models Requires Prompt Variations. | Rem Hida, Masahiro Kaneko, Naoaki Okazaki |
| 2025 | EMNLP | HMoE: Heterogeneous Mixture of Experts for Language Modeling. | An Wang, Xingwu Sun, Ruobing Xie, Shuaipeng Li, Jiaqi Zhu, Zhen Yang, Pinxue Zhao, Weidong Han, Zhanhui Kang, Di Wang, Naoaki Okazaki, Cheng-Zhong Xu |
| 2025 | NAACL | Constructing Multimodal Datasets from Scratch for Rapid Development of a Japanese Visual Language Model. | Keito Sasagawa, Koki Maeda, Issa Sugiura, Shuhei Kurita, Naoaki Okazaki, Daisuke Kawahara |
| 2025 | NAACL | Developing Japanese CLIP Models Leveraging an Open-weight LLM for Large-scale Dataset Translation. | Issa Sugiura, Shuhei Kurita, Yusuke Oda, Daisuke Kawahara, Naoaki Okazaki |
| 2024 | AAAI | OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated Examples. | Ryuto Koike, Masahiro Kaneko, Naoaki Okazaki |
| 2024 | ACL | Likelihood-based Mitigation of Evaluation Bias in Large Language Models. | Masanari Ohi, Masahiro Kaneko, Ryuto Koike, Mengsay Loem, Naoaki Okazaki |
| 2024 | COLING | Evaluating Gender Bias of Pre-trained Language Models in Natural Language Inference by Considering All Labels. | Panatchakorn Anantaprayoon, Masahiro Kaneko, Naoaki Okazaki |
| 2024 | COLING | Two Counterexamples to Tokenization and the Noiseless Channel. | Marco Cognetta, Vilm Zouhar, Sangwhan Moon, Naoaki Okazaki |
| 2024 | COLING | Controlled Generation with Prompt Insertion for Natural Language Explanations in Grammatical Error Correction. | Masahiro Kaneko, Naoaki Okazaki |
| 2024 | COLING | Building a Japanese Document-Level Relation Extraction Dataset Assisted by Cross-Lingual Transfer. | Youmi Ma, An Wang, Naoaki Okazaki |
| 2024 | EACL | Solving NLP Problems through Human-System Collaboration: A Discussion-based Approach. | Masahiro Kaneko, Graham Neubig, Naoaki Okazaki |
| 2024 | ECAI | SAIE Framework: Support Alone Isn't Enough - Advancing LLM Training with Adversarial Remarks. | Mengsay Loem, Masahiro Kaneko, Naoaki Okazaki |
| 2024 | EMNLP | Distributional Properties of Subword Regularization. | Marco Cognetta, Vilm Zouhar, Naoaki Okazaki |
| 2024 | EMNLP | How You Prompt Matters! Even Task-Oriented Constraints in Instructions Affect LLM-Generated Text Detection. | Ryuto Koike, Masahiro Kaneko, Naoaki Okazaki |
| 2024 | INLG | n-gram F-score for Evaluating Grammatical Error Correction. | Shota Koyama, Ryo Nagata, Hiroya Takamura, Naoaki Okazaki |
| 2023 | AAAI | SciCap+: A Knowledge Augmented Dataset to Study the Challenges of Scientific Figure Captioning. | Zhishen Yang, Raj Dabre, Hideki Tanaka, Naoaki Okazaki |
| 2023 | EACL | Parameter-Efficient Korean Character-Level Language Modeling. | Marco Cognetta, Sangwhan Moon, Lawrence Wolf-Sonkin, Naoaki Okazaki |
| 2023 | EACL | Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples. | Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki |
| 2023 | EACL | DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction. | Youmi Ma, An Wang, Naoaki Okazaki |
| 2023 | EACL | Semantic Specialization for Knowledge-based Word Sense Disambiguation. | Sakae Mizuki, Naoaki Okazaki |
| 2023 | EACL | Selective-LAMA: Selective Prediction for Confidence-Aware Evaluation of Language Models. | Hiyori Yoshikawa, Naoaki Okazaki |
| 2023 | EMNLP | Reducing Sequence Length by Predicting Edit Spans with Large Language Models. | Masahiro Kaneko, Naoaki Okazaki |
| 2023 | EMNLP | Query-based Image Captioning from Multi-context 360cdegree Images. | Koki Maeda, Shuhei Kurita, Taiki Miyanishi, Naoaki Okazaki |
| 2023 | EMNLP | Causal Reasoning through Two Cognition Layers for Improving Generalization in Visual Question Answering. | Trang Nguyen, Naoaki Okazaki |
| 2023 | IJCNLP | The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated. | Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki |
| 2023 | INLG | The Tokyo Tech and AIST System at the GenChal 2022 Shared Task on Feedback Comment Generation. | Shota Koyama, Hiroya Takamura, Naoaki Okazaki |
| 2022 | ACL | Word-level Perturbation Considering Word Length and Compositional Subwords. | Tatsuya Hiraoka, Sho Takase, Kei Uchiumi, Atsushi Keyaki, Naoaki Okazaki |
| 2022 | ACL | Interpretability for Language Learners Using Example-Based Grammatical Error Correction. | Masahiro Kaneko, Sho Takase, Ayana Niwa, Naoaki Okazaki |
| 2022 | ACL | Semi-Supervised Formality Style Transfer with Consistency Training. | Ao Liu, An Wang, Naoaki Okazaki |
| 2022 | ACL | Single Model Ensemble for Subword Regularized Models in Low-Resource Machine Translation. | Sho Takase, Tatsuya Hiraoka, Naoaki Okazaki |
| 2022 | COLING | Debiasing Isn't Enough! - on the Effectiveness of Debiasing MLMs and Their Social Biases in Downstream Tasks. | Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki |
| 2022 | COLING | IMPARA: Impact-Based Metric for GEC Using Parallel Data. | Koki Maeda, Masahiro Kaneko, Naoaki Okazaki |
| 2022 | EMNLP | Gender Bias in Meta-Embeddings. | Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki |
| 2022 | EMNLP | PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation. | Ao Liu, Haoyu Dong, Naoaki Okazaki, Shi Han, Dongmei Zhang |
| 2022 | IJCNLP | Unsupervised Domain Adaptation for Sparse Retrieval by Filling Vocabulary and Word Frequency Gaps. | Hiroki Iida, Naoaki Okazaki |
| 2022 | LREC | Learning How to Translate North Korean through South Korean. | Hwichan Kim, Sangwhan Moon, Naoaki Okazaki, Mamoru Komachi |
| 2022 | LREC | OpenKorPOS: Democratizing Korean Tokenization with Voting-Based Open Corpus Annotation. | Sangwhan Moon, Won-Ik Cho, Hye Joo Han, Naoaki Okazaki, Nam Soo Kim |
| 2022 | LREC | Multi-Task Learning for Cross-Lingual Abstractive Summarization. | Sho Takase, Naoaki Okazaki |
| 2022 | NAACL | Gender Bias in Masked Language Models for Multiple Languages. | Masahiro Kaneko, Aizhan Imankulova, Danushka Bollegala, Naoaki Okazaki |
| 2022 | NAACL | ExtraPhrase: Efficient Data Augmentation for Abstractive Summarization. | Mengsay Loem, Sho Takase, Masahiro Kaneko, Naoaki Okazaki |
| 2022 | PACLIC | Improving Automatic Evaluation of Acceptability Based on Language Models with a Coarse Sentence Representation. | Vijay Daultani, Naoaki Okazaki |
| 2022 | PACLIC | Annotating Entity and Causal Relationships on Japanese Vehicle Recall Information. | Hsuan-Yu Kuo, Youmi Ma, Naoaki Okazaki |
| 2021 | ACL | Joint Optimization of Tokenization and Downstream Model. | Tatsuya Hiraoka, Sho Takase, Kei Uchiumi, Atsushi Keyaki, Naoaki Okazaki |
| 2021 | EMNLP | Transformer-based Lexically Constrained Headline Generation. | Kosuke Yamada, Yuta Hitomi, Hideaki Tamori, Ryohei Sasano, Naoaki Okazaki, Kentaro Inui, Koichi Takeda |
| 2021 | INLG | Predicting Antonyms in Context using BERT. | Ayana Niwa, Keisuke Nishiguchi, Naoaki Okazaki |
| 2021 | PACLIC | Incorporating Semantic Textual Similarity and Lexical Matching for Information Retrieval. | Hiroki Iida, Naoaki Okazaki |
| 2021 | PACLIC | Various Errors Improve Neural Grammatical Error Correction. | Shota Koyama, Hiroya Takamura, Naoaki Okazaki |
| 2020 | ACL | It's Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information. | Emanuele Bugliarello, Sabrina J. Mielke, Antonios Anastasopoulos, Ryan Cotterell, Naoaki Okazaki |
| 2020 | ACL | Enhancing Machine Translation with Dependency-Aware Self-Attention. | Emanuele Bugliarello, Naoaki Okazaki |
| 2020 | ACL | Improving Truthfulness of Headline Generation. | Kazuki Matsumaru, Sho Takase, Naoaki Okazaki |
| 2020 | COLING | Image Caption Generation for News Articles. | Zhishen Yang, Naoaki Okazaki |
| 2020 | EMNLP | Optimizing Word Segmentation for Downstream Task. | Tatsuya Hiraoka, Sho Takase, Kei Uchiumi, Atsushi Keyaki, Naoaki Okazaki |
| 2020 | EMNLP | PatchBERT: Just-in-Time, Out-of-Vocabulary Patching. | Sangwhan Moon, Naoaki Okazaki |
| 2020 | IJCNLP | You May Like This Hotel Because ...: Identifying Evidence for Explainable Recommendations. | Shin Kanouchi, Masato Neishi, Yuta Hayashibe, Hiroki Ouchi, Naoaki Okazaki |
| 2020 | LREC | Jamo Pair Encoding: Subcharacter Representation-based Extreme Korean Vocabulary Compression for Efficient Subword Tokenization. | Sangwhan Moon, Naoaki Okazaki |
| 2020 | LREC | Evaluation Dataset for Zero Pronoun in Japanese to English Translation. | Sho Shimazu, Sho Takase, Toshiaki Nakazawa, Naoaki Okazaki |
| 2019 | ACL | Learning to Select, Track, and Generate for Data-to-Text. | Hayate Iso, Yui Uehara, Tatsuya Ishigaki, Hiroshi Noji, Eiji Aramaki, Ichiro Kobayashi, Yusuke Miyao, Naoaki Okazaki, Hiroya Takamura |
| 2019 | INLG | A Large-Scale Multi-Length Headline Corpus for Analyzing Length-Constrained Headline Generation Model Evaluation. | Yuta Hitomi, Yuya Taguchi, Hideaki Tamori, Ko Kikuta, Jiro Nishitoba, Naoaki Okazaki, Kentaro Inui, Manabu Okumura |
| 2019 | INLG | Neural Question Generation using Interrogative Phrases. | Yuichi Sasazawa, Sho Takase, Naoaki Okazaki |
| 2019 | NAACL | Positional Encoding to Control Output Sequence Length. | Sho Takase, Naoaki Okazaki |
| 2018 | COLING | Predicting Stances from Social Media Posts using Factorization Machines. | Akira Sasaki, Kazuaki Hanawa, Naoaki Okazaki, Kentaro Inui |
| 2018 | EMNLP | Unsupervised Token-wise Alignment to Improve Interpretation of Encoder-Decoder Models. | Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, Masaaki Nagata |
| 2018 | LREC | Incorporating Semantic Attention in Video Description Generation. | Natsuda Laokulrat, Naoaki Okazaki, Hideki Nakayama |
| 2018 | PACLIC | Multi-dialect Neural Machine Translation and Dialectometry. | Kaori Abe, Yuichiroh Matsubayashi, Naoaki Okazaki, Kentaro Inui |
| 2018 | PACLIC | Reducing Odd Generation from Neural Headline Generation. | Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, Masaaki Nagata |
| 2017 | ACL | Other Topics You May Also Agree or Disagree: Modeling Inter-Topic Preferences using Tweets and Matrix Factorization. | Akira Sasaki, Kazuaki Hanawa, Naoaki Okazaki, Kentaro Inui |
| 2017 | CICLING | Monitoring Geographical Entities with Temporal Awareness in Tweets. | Koji Matsuda, Mizuki Sango, Naoaki Okazaki, Kentaro Inui |
| 2017 | EMNLP | Analyzing the Revision Logs of a Japanese Newspaper for Article Quality Assessment. | Hideaki Tamori, Yuta Hitomi, Naoaki Okazaki, Kentaro Inui |
| 2017 | IJCAI | Learning Co-Substructures by Kernel Dependence Maximization. | Sho Yokoi, Daichi Mochihashi, Ryo Takahashi, Naoaki Okazaki, Kentaro Inui |
| 2017 | IJCNLP | Proofread Sentence Generation as Multi-Task Learning with Editing Operation Prediction. | Yuta Hitomi, Hideaki Tamori, Naoaki Okazaki, Kentaro Inui |
| 2017 | IJCNLP | A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse. | Sosuke Kobayashi, Naoaki Okazaki, Kentaro Inui |
| 2017 | PACLIC | A Crowdsourcing Approach for Annotating Causal Relation Instances in Wikipedia. | Kazuaki Hanawa, Akira Sasaki, Naoaki Okazaki, Kentaro Inui |
| 2016 | ACCV | Learning to Describe E-Commerce Images from Noisy Online Data. | Takuya Yashima, Naoaki Okazaki, Kentaro Inui, Kota Yamaguchi, Takayuki Okatani |
| 2016 | ACL | Building a Corpus for Japanese Wikification with Fine-Grained Entity Classes. | Davaajav Jargalsaikhan, Naoaki Okazaki, Koji Matsuda, Kentaro Inui |
| 2016 | ACL | Composing Distributed Representations of Relational Patterns. | Sho Takase, Naoaki Okazaki, Kentaro Inui |
| 2016 | ACL | Learning Semantically and Additively Compositional Distributional Representations. | Ran Tian, Naoaki Okazaki, Kentaro Inui |
| 2016 | COLING | Modeling Context-sensitive Selectional Preference with Distributed Representations. | Naoya Inoue, Yuichiroh Matsubayashi, Masayuki Ono, Naoaki Okazaki, Kentaro Inui |
| 2016 | COLING | Generating Video Description using Sequence-to-sequence Model with Temporal Attention. | Natsuda Laokulrat, Sang Phan, Noriki Nishida, Raphael Shu, Yo Ehara, Naoaki Okazaki, Yusuke Miyao, Hideki Nakayama |
| 2016 | COLING | Modeling Discourse Segments in Lyrics Using Repeated Patterns. | Kento Watanabe, Yuichiroh Matsubayashi, Naho Orita, Naoaki Okazaki, Kentaro Inui, Satoru Fukayama, Tomoyasu Nakano, Jordan B. L. Smith, Masataka Goto |
| 2016 | EMNLP | Neural Headline Generation on Abstract Meaning Representation. | Sho Takase, Jun Suzuki, Naoaki Okazaki, Tsutomu Hirao, Masaaki Nagata |
| 2016 | NAACL | Dynamic Entity Representation with Max-pooling Improves Machine Reading. | Sosuke Kobayashi, Ran Tian, Naoaki Okazaki, Kentaro Inui |
| 2016 | PACLIC | Recognizing Open-Vocabulary Relations between Objects in Images. | Masayasu Muraoka, Sumit Maharjan, Masaki Saito, Kota Yamaguchi, Naoaki Okazaki, Takayuki Okatani, Kentaro Inui |
| 2016 | PACLIC | Neural Joint Learning for Classifying Wikipedia Articles into Fine-grained Named Entity Types. | Masatoshi Suzuki, Koji Matsuda, Satoshi Sekine, Naoaki Okazaki, Kentaro Inui |
| 2016 | PACLIC | Toward the automatic extraction of knowledge of usable goods. | Mei Uemura, Naho Orita, Naoaki Okazaki, Kentaro Inui |
| 2015 | ACL | Who caught a cold ? - Identifying the subject of a symptom. | Shin Kanouchi, Mamoru Komachi, Naoaki Okazaki, Eiji Aramaki, Hiroshi Ishikawa |
| 2015 | ACL | Disease Event Detection based on Deep Modality Analysis. | Yoshiaki Kitagawa, Mamoru Komachi, Eiji Aramaki, Naoaki Okazaki, Hiroshi Ishikawa |
| 2015 | NAACL | A Computational Approach for Generating Toulmin Model Argumentation. | Paul Reisert, Naoya Inoue, Naoaki Okazaki, Kentaro Inui |
| 2015 | PACLIC | Reducing Lexical Features in Parsing by Word Embeddings. | Hiroya Komatsu, Ran Tian, Naoaki Okazaki, Kentaro Inui |
| 2015 | PACLIC | Fast and Large-scale Unsupervised Relation Extraction. | Sho Takase, Naoaki Okazaki, Kentaro Inui |
| 2014 | PACLIC | Finding The Best Model Among Representative Compositional Models. | Masayasu Muraoka, Sonse Shimaoka, Kazeto Yamamoto, Yotaro Watanabe, Naoaki Okazaki, Kentaro Inui |
| 2013 | ACL | Is a 204 cm Man Tall or Small ? Acquisition of Numerical Common Sense from the Web. | Katsuma Narisawa, Yotaro Watanabe, Junta Mizuno, Naoaki Okazaki, Kentaro Inui |
| 2013 | ACL | Detecting Chronic Critics Based on Sentiment Polarity and User's Behavior in Social Media. | Sho Takase, Akiko Murakami, Miki Enoki, Naoaki Okazaki, Kentaro Inui |
| 2013 | CICLING | Evidence in Automatic Error Correction Improves Learners' English Skill. | Jiro Umezawa, Junta Mizuno, Naoaki Okazaki, Kentaro Inui |
| 2013 | CICLING | Discriminative Learning of First-Order Weighted Abduction from Partial Discourse Explanations. | Kazeto Yamamoto, Naoya Inoue, Yotaro Watanabe, Naoaki Okazaki, Kentaro Inui |
| 2013 | IJCNLP | Extracting and Aggregating False Information from Microblogs. | Naoaki Okazaki, Keita Nabeshima, Kento Watanabe, Junta Mizuno, Kentaro Inui |
| 2013 | PAKDD | Inducing Context Gazetteers from Encyclopedic Databases for Named Entity Recognition. | Han-Cheol Cho, Naoaki Okazaki, Kentaro Inui |
| 2012 | COLING | Acquiring and Generalizing Causal Inference Rules from Deverbal Noun Constructions. | Shohei Tanaka, Naoaki Okazaki, Mitsuru Ishizuka |
| 2012 | COLING | A Latent Discriminative Model for Compositional Entailment Relation Recognition using Natural Logic. | Yotaro Watanabe, Junta Mizuno, Eric Nichols, Naoaki Okazaki, Kentaro Inui |
| 2012 | PACLIC | Set Expansion using Sibling Relations between Semantic Categories. | Sho Takase, Naoaki Okazaki, Kentaro Inui |
| 2011 | AAAI | Fast Newton-CG Method for Batch Learning of Conditional Random Fields. | Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Okazaki |
| 2010 | COLING | Simple and Efficient Algorithm for Approximate Dictionary Matching. | Naoaki Okazaki, Jun'ichi Tsujii |
| 2010 | COLING | Learning Web Query Patterns for Imitating Wikipedia Articles. | Shohei Tanaka, Naoaki Okazaki, Mitsuru Ishizuka |
| 2009 | ACL | A Comparative Study on Generalization of Semantic Roles in FrameNet. | Yuichiroh Matsubayashi, Naoaki Okazaki, Jun'ichi Tsujii |
| 2009 | ACL | Robust Approach to Abbreviating Terms: A Discriminative Latent Variable Model with Global Information. | Xu Sun, Naoaki Okazaki, Jun'ichi Tsujii |
| 2009 | ACL | Unsupervised Relation Extraction by Mining Wikipedia Texts Using Information from the Web. | Yulan Yan, Naoaki Okazaki, Yutaka Matsuo, Zhenglu Yang, Mitsuru Ishizuka |
| 2009 | CIKM | Opinion classification with tree kernel SVM using linguistic modality analysis. | Takeshi S. Kobayakawa, Tadashi Kumano, Hideki Tanaka, Naoaki Okazaki, Jin-Dong Kim, Jun'ichi Tsujii |
| 2009 | NAACL | Semi-Supervised Lexicon Mining from Parenthetical Expressions in Monolingual Web Pages. | Xianchao Wu, Naoaki Okazaki, Jun'ichi Tsujii |
| 2008 | AMTA | Improving English-to-Chinese Translation for Technical Terms using Morphological Information. | Xianchao Wu, Naoaki Okazaki, Takashi Tsunakawa, Jun'ichi Tsujii |
| 2008 | COLING | A Discriminative Alignment Model for Abbreviation Recognition. | Naoaki Okazaki, Sophia Ananiadou, Jun'ichi Tsujii |
| 2008 | COLING | Building a Bilingual Lexicon Using Phrase-based Statistical Machine Translation via a Pivot Language. | Takashi Tsunakawa, Naoaki Okazaki, Jun'ichi Tsujii |
| 2008 | EMNLP | A Discriminative Candidate Generator for String Transformations. | Naoaki Okazaki, Yoshimasa Tsuruoka, Sophia Ananiadou, Jun'ichi Tsujii |
| 2008 | IJCNLP | Identifying Sections in Scientific Abstracts using Conditional Random Fields. | Kenji Hirohata, Naoaki Okazaki, Sophia Ananiadou, Mitsuru Ishizuka |
| 2008 | IJCNLP | A Discriminative Approach to Japanese Abbreviation Extraction. | Naoaki Okazaki, Mitsuru Ishizuka, Jun'ichi Tsujii |
| 2008 | LREC | Connecting Text Mining and Pathways using the PathText Resource. | Rune Stre, Brian Kemper, Kanae Oda, Naoaki Okazaki, Yukiko Matsuoka, Norihiro Kikuchi, Hiroaki Kitano, Yoshimasa Tsuruoka, Sophia Ananiadou, Jun'ichi Tsujii |
| 2008 | LREC | Building Bilingual Lexicons using Lexical Translation Probabilities via Pivot Languages. | Takashi Tsunakawa, Naoaki Okazaki, Jun'ichi Tsujii |
| 2008 | SIGIR | Kleio: a knowledge-enriched information retrieval system for biology. | Chikashi Nobata, Philip Cotter, Naoaki Okazaki, Brian Rea, Yutaka Sasaki, Yoshimasa Tsuruoka, Jun'ichi Tsujii, Sophia Ananiadou |
| 2007 | IJCAI | Inferring Long-term User Properties Based on Users' Location History. | Yutaka Matsuo, Naoaki Okazaki, Kiyoshi Izumi, Yoshiyuki Nakamura, Takuichi Nishimura, Kiti Hasida, Hideyuki Nakashima |
| 2006 | ACL | A Bottom-Up Approach to Sentence Ordering for Multi-Document Summarization. | Danushka Bollegala, Naoaki Okazaki, Mitsuru Ishizuka |
| 2006 | ACL | A Term Recognition Approach to Acronym Recognition. | Naoaki Okazaki, Sophia Ananiadou |
| 2006 | LREC | Towards a terminological resource for biomedical text mining. | Goran Nenadic, Naoaki Okazaki, Sophia Ananiadou |
| 2006 | LREC | Clustering acronyms in biomedical text for disambiguation. | Naoaki Okazaki, Sophia Ananiadou |
| 2005 | IJCNLP | A Machine Learning Approach to Sentence Ordering for Multidocument Summarization and Its Evaluation. | Danushka Bollegala, Naoaki Okazaki, Mitsuru Ishizuka |
| 2004 | COLING | Improving Chronological Sentence Ordering by Precedence Relation. | Naoaki Okazaki, Yutaka Matsuo, Mitsuru Ishizuka |
| 2004 | PRICAI | Coherent Arrangement of Sentences Extracted from Multiple Newspaper Articles. | Naoaki Okazaki, Yutaka Matsuo, Mitsuru Ishizuka |
| 2003 | FlAIRS | Sentence Extraction by Spreading Activation with Refined Similarity Measure. | Naoaki Okazaki, Yutaka Matsuo, Naohiro Matsumura, Mitsuru Ishizuka |