Katsuhiko Hayashi

Publication Activity (10 Years)

Years Active: 1984-2024
Publications (10 Years): 44

Top Topics

Graph Embedding

Domain Knowledge

Recommender Systems

Top Venues

CoNLL Shared Task

Publications

Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe
Artwork Explanation in Large-scale Vision Language Models. CoRR (2024)
Shigeki Saito, Kazuki Hayashi, Yusuke Ide, Yusuke Sakai, Kazuma Onishi, Toma Suzuki, Seiji Gobara, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe
Evaluating Image Review Ability of Vision Language Models. CoRR (2024)
Xincan Feng, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe
Unified Interpretation of Smoothing Methods for Negative Sampling Loss Functions in Knowledge Graph Embedding. CoRR (2024)
Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe
Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion? NAACL-HLT (2024)
Ken Nishida, Kojiro Machi, Kazuma Onishi, Katsuhiko Hayashi, Hidetaka Kamigaito
Multi-label Learning with Random Circular Vectors. CoRR (2024)
Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe
Table and Image Generation for Investigating Knowledge of Entities in Pre-trained Vision and Language Models. ACL (2) (2023)
Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe
Table and Image Generation for Investigating Knowledge of Entities in Pre-trained Vision and Language Models. CoRR (2023)
Xincan Feng, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe
Model-based Subsampling for Knowledge Graph Completion. CoRR (2023)
Katsuhiko Hayashi, Kazuma Onishi
Implicit ZCA Whitening Effects of Linear Autoencoders for Recommendation. CoRR (2023)
Katsuhiko Hayashi, Koki Kishimoto, Masashi Shimbo
Binarized Embeddings for Fast, Space-Efficient Knowledge Graph Completion. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe
Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion? CoRR (2023)
Xincan Feng, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe
Model-based Subsampling for Knowledge Graph Completion. IJCNLP (1) (2023)
Katsuhiko Hayashi
Using Wikipedia Editor Information to Build High-performance Recommender Systems. CoRR (2023)
Hidetaka Kamigaito, Katsuhiko Hayashi
Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning. ICML (2022)
Katsuhiko Hayashi
Rethinking Correlation-based Item-Item Similarities for Recommender Systems. SIGIR (2022)
Hidetaka Kamigaito, Katsuhiko Hayashi
Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning. CoRR (2022)
Hidetaka Kamigaito, Katsuhiko Hayashi
Subsampling for Knowledge Graph Embedding Explained. CoRR (2022)
Hidetaka Kamigaito, Katsuhiko Hayashi
Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding. ACL/IJCNLP (1) (2021)
Kazunori Komatani, Yuma Fujioka, Keisuke Nakashima, Katsuhiko Hayashi, Mikio Nakano
Knowledge Graph Completion-based Question Selection for Acquiring Domain Knowledge through Dialogues. IUI (2021)
Takahiro Kondo, Koki Washio, Katsuhiko Hayashi, Yusuke Miyao
Bayesian Argumentation-Scheme Networks: A Probabilistic Model of Argument Validity Facilitated by Argumentation Schemes. ArgMining@EMNLP (2021)
Hidetaka Kamigaito, Katsuhiko Hayashi
Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding. CoRR (2021)
Akiko Aizawa, Frédéric Bergéron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui, Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, Masaki Kobayashi, Takashi Kodama, Sadao Kurohashi, Qianying Liu, Masaki Matsubara, Yusuke Miyao, Atsuyuki Morishima, Yugo Murawaki, Kazumasa Omura, Haiyue Song, Eiichiro Sumita, Shinji Suzuki, Ribeka Tanaka, Yu Tanaka, Masashi Toyoda, Nobuhiro Ueda, Honai Ueoka, Masao Utiyama, Ying Zhong
A System for Worldwide COVID-19 Information Aggregation. NLP4COVID@EMNLP (2020)
Namgi Han, Katsuhiko Hayashi, Yusuke Miyao
Analyzing Word Embedding Through Structural Equation Modeling. LREC (2020)
Katsuhiko Hayashi, Koki Kishimoto, Masashi Shimbo
A Greedy Bit-flip Training Algorithm for Binarized Knowledge Graph Embeddings. EMNLP (Findings) (2020)
Akiko Aizawa, Frédéric Bergéron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui, Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, Masaki Kobayashi, Takashi Kodama, Sadao Kurohashi, Qianying Liu, Masaki Matsubara, Yusuke Miyao, Atsuyuki Morishima, Yugo Murawaki, Kazumasa Omura, Haiyue Song, Eiichiro Sumita, Shinji Suzuki, Ribeka Tanaka, Yu Tanaka, Masashi Toyoda, Nobuhiro Ueda, Honai Ueoka, Masao Utiyama, Ying Zhong
A System for Worldwide COVID-19 Information Aggregation. CoRR (2020)
Katsuhiko Hayashi, Masashi Shimbo
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs. CoRR (2019)
Koki Kishimoto, Katsuhiko Hayashi, Genki Akai, Masashi Shimbo, Kazunori Komatani
Binarized Knowledge Graph Embeddings. ECIR (1) (2019)
Katsuhiko Hayashi, Masashi Shimbo
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs. EMNLP/IJCNLP (1) (2019)
Koki Kishimoto, Katsuhiko Hayashi, Genki Akai, Masashi Shimbo, Kazunori Komatani
Binarized Knowledge Graph Embeddings. CoRR (2019)
Koki Kishimoto, Katsuhiko Hayashi, Genki Akai, Masashi Shimbo
Binarized Canonical Polyadic Decomposition for Knowledge Graph Completion. CoRR (2019)
Tomoki Matsuno, Katsuhiko Hayashi, Takahiro Ishihara, Hitoshi Manabe, Yuji Matsumoto
Reduction of Parameter Redundancy in Biaffine Classifiers with Symmetric and Circulant Weight Matrices. CoRR (2018)
Tomoki Matsuno, Katsuhiko Hayashi, Takahiro Ishihara, Hitoshi Manabe, Yuji Matsumoto
Reduction of Parameter Redundancy in Biaffine Classifiers with Symmetric and Circulant Weight Matrices. PACLIC (2018)
Hidetaka Kamigaito, Katsuhiko Hayashi, Tsutomu Hirao, Masaaki Nagata
Higher-Order Syntactic Attention Network for Longer Sentence Compression. NAACL-HLT (2018)
Takahiro Ishihara, Katsuhiko Hayashi, Hitoshi Manabe, Masashi Shimbo, Masaaki Nagata
Neural Tensor Networks with Diagonal Slice Matrices. NAACL-HLT (2018)
Hitoshi Manabe, Katsuhiko Hayashi, Masashi Shimbo
Data-Dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion. AAAI (2018)
Hitoshi Manabe, Katsuhiko Hayashi, Masashi Shimbo
Data-dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion. CoRR (2018)
Katsuhiko Hayashi, Masashi Shimbo
On the Equivalence of Holographic and Complex Embeddings for Link Prediction. ACL (2) (2017)
Katsuhiko Hayashi, Masaaki Nagata
K-best Iterative Viterbi Parsing. EACL (2) (2017)
Katsuhiko Hayashi, Masashi Shimbo
On the Equivalence of Holographic and Complex Embeddings for Link Prediction. CoRR (2017)
Takaaki Tanaka, Katsuhiko Hayashi, Masaaki Nagata
Hierarchical Word Structure-based Parsing: A Feasibility Study on UD-style Dependency Parsing in Japanese. IWPT (2017)
Hidetaka Kamigaito, Katsuhiko Hayashi, Tsutomu Hirao, Hiroya Takamura, Manabu Okumura, Masaaki Nagata
Supervised Attention for Sequence-to-Sequence Constituency Parsing. IJCNLP(2) (2017)
Katsuhiko Hayashi, Jun Suzuki, Masaaki Nagata
Shift-reduce Spinal TAG Parsing with Dynamic Programming. Inf. Media Technol. 11 (2016)
Katsuhiko Hayashi, Masaaki Nagata
Empty element recovery by spinal parser operations. ACL (2) (2016)
Katsuhiko Hayashi, Tsutomu Hirao, Masaaki Nagata
Empirical comparison of dependency conversions for RST discourse trees. SIGDIAL Conference (2016)
Yasuhisa Yoshida, Katsuhiko Hayashi, Tsutomu Hirao, Masaaki Nagata
Hybrid Approach to PDTB-styled Discourse Parsing for CoNLL-2015. CoNLL Shared Task (2015)
Sho Hoshino, Yusuke Miyao, Katsuhito Sudoh, Katsuhiko Hayashi, Masaaki Nagata
Discriminative Preordering Meets Kendall's Tau Maximization. ACL (2) (2015)
Katsuhito Sudoh, Graham Neubig, Kevin Duh, Katsuhiko Hayashi
NTT-NAIST syntax-based SMT systems for IWSLT 2014. IWSLT (Evaluation Campaign) (2014)
Katsuhiko Hayashi, Shuhei Kondo, Yuji Matsumoto
Efficient Stacked Dependency Parsing by Forest Reranking. Trans. Assoc. Comput. Linguistics 1 (2013)
Katsuhiko Hayashi, Katsuhito Sudoh, Hajime Tsukada, Jun Suzuki, Masaaki Nagata
Shift-Reduce Word Reordering for Machine Translation. EMNLP (2013)
Katsuhiko Hayashi, Lukas Pichl, Taisei Kaizoji
Heteroskedastic Regression and Persistence in Random Walks at Tokyo Stock Exchange. ISNN (2) (2012)
Katsuhiko Hayashi, Taro Watanabe, Masayuki Asahara, Yuji Matsumoto
Head-driven Transition-based Parsing with Top-down Prediction. ACL (1) (2012)
Katsuhiko Hayashi, Taro Watanabe, Masayuki Asahara, Yuji Matsumoto
Third-order Variational Reranking on Packed-Shared Dependency Forests. EMNLP (2011)
Katsuhiko Hayashi, Hajime Tsukada, Katsuhito Sudoh, Kevin Duh, Seiichi Yamamoto
Hierarchical Phrase-based Machine Translation with Word-based Reordering Model. COLING (2010)
Katsuhiko Hayashi, Taro Watanabe, Hajime Tsukada, Hideki Isozaki
Structural support vector machines for log-linear approach in statistical machine translation. IWSLT (2009)
Katsuhiko Hayashi, Chiaki Motegi
Personal computer image communications using facsimile. IEEE J. Sel. Areas Commun. 7 (2) (1989)
Kazunori Sugahara, Katsuhiko Hayashi, Kotaro Hirano, Sanjit K. Mitra
N-path digital filters. ICASSP (1984)