Structural support vector machines for log-linear approach in statistical machine translation. - Katsuhiko Hayashi 001; Taro Watanabe; Hajime Tsukada; Hideki Isozaki (IWSLT, 2009)

Hierarchical Phrase-based Machine Translation with Word-based Reordering Model. - Katsuhiko Hayashi 001; Hajime Tsukada; Katsuhito Sudoh; Kevin Duh; Seiichi Yamamoto (COLING, 2010)

Third-order Variational Reranking on Packed-Shared Dependency Forests. - Katsuhiko Hayashi 001; Taro Watanabe; Masayuki Asahara; Yuji Matsumoto 001 (EMNLP, 2011)

Head-driven Transition-based Parsing with Top-down Prediction. - Katsuhiko Hayashi 001; Taro Watanabe; Masayuki Asahara; Yuji Matsumoto 001 (ACL (1), 2012)

Heteroskedastic Regression and Persistence in Random Walks at Tokyo Stock Exchange. - Katsuhiko Hayashi 001; Lukas Pichl; Taisei Kaizoji (ISNN (2), 2012)

Shift-Reduce Word Reordering for Machine Translation. - Katsuhiko Hayashi 001; Katsuhito Sudoh; Hajime Tsukada; Jun Suzuki 001; Masaaki Nagata (EMNLP, 2013)

Efficient Stacked Dependency Parsing by Forest Reranking. - Katsuhiko Hayashi 001; Shuhei Kondo; Yuji Matsumoto 001 (Trans. Assoc. Comput. Linguistics, 2013)

NTT-NAIST syntax-based SMT systems for IWSLT 2014. - Katsuhito Sudoh; Graham Neubig; Kevin Duh; Katsuhiko Hayashi 001 (IWSLT (Evaluation Campaign), 2014)

Discriminative Preordering Meets Kendall's Tau Maximization. - Sho Hoshino; Yusuke Miyao; Katsuhito Sudoh; Katsuhiko Hayashi 001; Masaaki Nagata (ACL (2), 2015)

Hybrid Approach to PDTB-styled Discourse Parsing for CoNLL-2015. - Yasuhisa Yoshida; Katsuhiko Hayashi 001; Tsutomu Hirao; Masaaki Nagata (CoNLL Shared Task, 2015)

Empty element recovery by spinal parser operations. - Katsuhiko Hayashi 001; Masaaki Nagata (ACL (2), 2016)

Empirical comparison of dependency conversions for RST discourse trees. - Katsuhiko Hayashi 001; Tsutomu Hirao; Masaaki Nagata (SIGDIAL Conference, 2016)

Shift-reduce Spinal TAG Parsing with Dynamic Programming. - Katsuhiko Hayashi 001; Jun Suzuki 001; Masaaki Nagata (Inf. Media Technol., 2016)

On the Equivalence of Holographic and Complex Embeddings for Link Prediction. - Katsuhiko Hayashi 001; Masashi Shimbo (ACL (2), 2017)

K-best Iterative Viterbi Parsing. - Katsuhiko Hayashi 001; Masaaki Nagata (EACL (2), 2017)

Supervised Attention for Sequence-to-Sequence Constituency Parsing. - Hidetaka Kamigaito; Katsuhiko Hayashi 001; Tsutomu Hirao; Hiroya Takamura; Manabu Okumura; Masaaki Nagata (IJCNLP(2), 2017)

Hierarchical Word Structure-based Parsing: A Feasibility Study on UD-style Dependency Parsing in Japanese. - Takaaki Tanaka; Katsuhiko Hayashi 001; Masaaki Nagata (IWPT, 2017)

Data-Dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion. - Hitoshi Manabe; Katsuhiko Hayashi 001; Masashi Shimbo (AAAI, 2018)

Neural Tensor Networks with Diagonal Slice Matrices. - Takahiro Ishihara; Katsuhiko Hayashi 001; Hitoshi Manabe; Masashi Shimbo; Masaaki Nagata (NAACL-HLT, 2018)

Higher-Order Syntactic Attention Network for Longer Sentence Compression. - Hidetaka Kamigaito; Katsuhiko Hayashi 001; Tsutomu Hirao; Masaaki Nagata (NAACL-HLT, 2018)

Reduction of Parameter Redundancy in Biaffine Classifiers with Symmetric and Circulant Weight Matrices. - Tomoki Matsuno; Katsuhiko Hayashi 001; Takahiro Ishihara; Hitoshi Manabe; Yuji Matsumoto 001 (PACLIC, 2018)

Binarized Knowledge Graph Embeddings. - Koki Kishimoto; Katsuhiko Hayashi 001; Genki Akai; Masashi Shimbo; Kazunori Komatani (ECIR (1), 2019)

A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs. - Katsuhiko Hayashi 001; Masashi Shimbo (EMNLP/IJCNLP (1), 2019)

Binarized Canonical Polyadic Decomposition for Knowledge Graph Completion. - Koki Kishimoto; Katsuhiko Hayashi 001; Genki Akai; Masashi Shimbo (CoRR, 2019)

A System for Worldwide COVID-19 Information Aggregation. - Akiko Aizawa; Frédéric Bergéron; Junjie Chen; Fei Cheng 002; Katsuhiko Hayashi 001; Kentaro Inui; Hiroyoshi Ito; Daisuke Kawahara; Masaru Kitsuregawa; Hirokazu Kiyomaru; Masaki Kobayashi; Takashi Kodama; et al. (NLP4COVID@EMNLP, 2020)

A Greedy Bit-flip Training Algorithm for Binarized Knowledge Graph Embeddings. - Katsuhiko Hayashi 001; Koki Kishimoto; Masashi Shimbo (EMNLP (Findings), 2020)

Analyzing Word Embedding Through Structural Equation Modeling. - Namgi Han; Katsuhiko Hayashi 001; Yusuke Miyao (LREC, 2020)

Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding. - Hidetaka Kamigaito; Katsuhiko Hayashi 001 (ACL/IJCNLP (1), 2021)

Bayesian Argumentation-Scheme Networks: A Probabilistic Model of Argument Validity Facilitated by Argumentation Schemes. - Takahiro Kondo; Koki Washio; Katsuhiko Hayashi 001; Yusuke Miyao (ArgMining@EMNLP, 2021)

Knowledge Graph Completion-based Question Selection for Acquiring Domain Knowledge through Dialogues. - Kazunori Komatani; Yuma Fujioka; Keisuke Nakashima; Katsuhiko Hayashi 001; Mikio Nakano (IUI, 2021)

Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning. - Hidetaka Kamigaito; Katsuhiko Hayashi 001 (ICML, 2022)

Rethinking Correlation-based Item-Item Similarities for Recommender Systems. - Katsuhiko Hayashi 001 (SIGIR, 2022)

Subsampling for Knowledge Graph Embedding Explained. - Hidetaka Kamigaito; Katsuhiko Hayashi 001 (CoRR, 2022)

Table and Image Generation for Investigating Knowledge of Entities in Pre-trained Vision and Language Models. - Hidetaka Kamigaito; Katsuhiko Hayashi 001; Taro Watanabe (ACL (2), 2023)

Model-based Subsampling for Knowledge Graph Completion. - Xincan Feng; Hidetaka Kamigaito; Katsuhiko Hayashi 001; Taro Watanabe (IJCNLP (1), 2023)

Using Wikipedia Editor Information to Build High-performance Recommender Systems. - Katsuhiko Hayashi 001 (CoRR, 2023)

Implicit ZCA Whitening Effects of Linear Autoencoders for Recommendation. - Katsuhiko Hayashi 001; Kazuma Onishi (CoRR, 2023)

Binarized Embeddings for Fast, Space-Efficient Knowledge Graph Completion. - Katsuhiko Hayashi 001; Koki Kishimoto; Masashi Shimbo (IEEE Trans. Knowl. Data Eng., 2023)

Towards Artwork Explanation in Large-scale Vision Language Models. - Kazuki Hayashi; Yusuke Sakai 010; Hidetaka Kamigaito; Katsuhiko Hayashi 001; Taro Watanabe (ACL (Short Papers), 2024)

Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion? - Yusuke Sakai 010; Hidetaka Kamigaito; Katsuhiko Hayashi 001; Taro Watanabe (NAACL-HLT, 2024)

Evaluating Image Review Ability of Vision Language Models. - Shigeki Saito; Kazuki Hayashi; Yusuke Ide; Yusuke Sakai 010; Kazuma Onishi; Toma Suzuki; Seiji Gobara; Hidetaka Kamigaito; Katsuhiko Hayashi 001; Taro Watanabe (CoRR, 2024)

Artwork Explanation in Large-scale Vision Language Models. - Kazuki Hayashi; Yusuke Sakai 010; Hidetaka Kamigaito; Katsuhiko Hayashi 001; Taro Watanabe (CoRR, 2024)

Unified Interpretation of Smoothing Methods for Negative Sampling Loss Functions in Knowledge Graph Embedding. - Xincan Feng; Hidetaka Kamigaito; Katsuhiko Hayashi 001; Taro Watanabe (CoRR, 2024)

Multi-label Learning with Random Circular Vectors. - Ken Nishida; Kojiro Machi; Kazuma Onishi; Katsuhiko Hayashi 001; Hidetaka Kamigaito (CoRR, 2024)

Theoretical Aspects of Bias and Diversity in Minimum Bayes Risk Decoding. - Hidetaka Kamigaito; Hiroyuki Deguchi 002; Yusuke Sakai 010; Katsuhiko Hayashi 001; Taro Watanabe (CoRR, 2024)

How Panel Layouts Define Manga: Insights from Visual Ablation Experiments. - Siyuan Feng; Teruya Yoshinaga; Katsuhiko Hayashi 001; Koki Washio; Hidetaka Kamigaito (CoRR, 2024)

Understanding the Impact of Confidence in Retrieval Augmented Generation: A Case Study in the Medical Domain. - Shintaro Ozaki; Yuta Kato; Siyuan Feng; Masayo Tomita; Kazuki Hayashi; Ryoma Obara; Masafumi Oyamada; Katsuhiko Hayashi 001; Hidetaka Kamigaito; Taro Watanabe (CoRR, 2024)

Diversity Explains Inference Scaling Laws: Through a Case Study of Minimum Bayes Risk Decoding. - Hidetaka Kamigaito; Hiroyuki Deguchi 002; Yusuke Sakai 010; Katsuhiko Hayashi 001; Taro Watanabe (ACL (1), 2025)

IRR: Image Review Ranking Framework for Evaluating Vision-Language Models. - Kazuki Hayashi; Kazuma Onishi; Toma Suzuki; Yusuke Ide; Seiji Gobara; Shigeki Saito; Yusuke Sakai 010; Hidetaka Kamigaito; Katsuhiko Hayashi 001; Taro Watanabe (COLING, 2025)

A Simple but Effective Closed-Form Solution for Extreme Multi-label Learning. - Kazuma Onishi; Katsuhiko Hayashi 001 (ECIR (3), 2025)

Towards Cross-Lingual Explanation of Artwork in Large-scale Vision Language Models. - Shintaro Ozaki; Kazuki Hayashi; Yusuke Sakai 010; Hidetaka Kamigaito; Katsuhiko Hayashi 001; Taro Watanabe (NAACL (Findings), 2025)

Can Impressions of Music be Extracted from Thumbnail Images? - Takashi Harada; Takehiro Motomitsu; Katsuhiko Hayashi 001; Yusuke Sakai 010; Hidetaka Kamigaito (CoRR, 2025)

The Role of Background Information in Reducing Object Hallucination in Vision-Language Models: Insights from Cutoff API Prompting. - Masayo Tomita; Katsuhiko Hayashi 001; Tomoyuki Kaneko (CoRR, 2025)

TextTIGER: Text-based Intelligent Generation with Entity Prompt Refinement for Text-to-Image Generation. - Shintaro Ozaki; Kazuki Hayashi; Yusuke Sakai 010; Jingun Kwon; Hidetaka Kamigaito; Katsuhiko Hayashi 001; Manabu Okumura; Taro Watanabe (CoRR, 2025)

Diversity of Transformer Layers: One Aspect of Parameter Scaling Laws. - Hidetaka Kamigaito; Ying Zhang; Jingun Kwon; Katsuhiko Hayashi 001; Manabu Okumura; Taro Watanabe (CoRR, 2025)