Improving the Learning Efficiencies of Realtime Search. - Toru Ishida 001; Masashi Shimbo (AAAI/IAAI, Vol. 1, 1996)

Towards Real-Time Search with Inadmissible Heuristics. - Masashi Shimbo; Toru Ishida 001 (ECAI, 2000)

Sentence Role Identification in Medline Abstracts: Training Classifier with Structured Abstracts. - Masashi Shimbo; Takahiro Yamasaki; Yuji Matsumoto 001 (Active Mining, 2003)

Controlling the learning process of real-time heuristic search. - Masashi Shimbo; Toru Ishida 001 (Artif. Intell., 2003)

Application of kernels to link analysis. - Takahiko Ito; Masashi Shimbo; Taku Kudo; Yuji Matsumoto 001 (KDD, 2005)

Investigating the Effect of Multiple Communities on Kernel-Based Citation Analysis. - Takahiko Ito; Masashi Shimbo; Daichi Mochihashi; Yuji Matsumoto 001 (ICDE Workshops, 2006)

Exploring Multiple Communities with Kernel-Based Link Analysis. - Takahiko Ito; Masashi Shimbo; Daichi Mochihashi; Yuji Matsumoto 001 (PKDD, 2006)

A Discriminative Learning Model for Coordinate Conjunctions. - Masashi Shimbo; Kazuo Hara (EMNLP-CoNLL, 2007)

Evaluation of kernel-based link analysis measures on research paper recommendation. - Masashi Shimbo; Takahiko Ito; Yuji Matsumoto 001 (JCDL, 2007)

Graph-based Analysis of Semantic Drift in Espresso-like Bootstrapping Algorithms. - Mamoru Komachi; Taku Kudo; Masashi Shimbo; Yuji Matsumoto 001 (EMNLP, 2008)

Generic Text Summarization Using Probabilistic Latent Semantic Indexing. - Harendra Bhandari; Masashi Shimbo; Takahiko Ito; Yuji Matsumoto 001 (IJCNLP, 2008)

A family of dissimilarity measures between nodes generalizing both the shortest-path and the commute-time distances. - Luh Yen; Marco Saerens; Amin Mantrach; Masashi Shimbo (KDD, 2008)

Coordinate Structure Analysis with Global Structural Constraints and Alignment-Based Local Features. - Kazuo Hara; Masashi Shimbo; Hideharu Okuma; Yuji Matsumoto 001 (ACL/IJCNLP, 2009)

Bypassed alignment graph for learning coordination in Japanese sentences. - Hideharu Okuma; Kazuo Hara; Masashi Shimbo; Yuji Matsumoto 001 (ACL/IJCNLP (2), 2009)

A graph-based approach for biomedical thesaurus expansion. - Ikumi Suzuki; Kazuo Hara; Masashi Shimbo; Yuji Matsumoto 001 (DTMBIO, 2009)

On the properties of von Neumann kernels for link analysis. - Masashi Shimbo; Takahiko Ito; Daichi Mochihashi; Yuji Matsumoto 001 (Mach. Learn., 2009)

Normalized Sum-over-Paths Edit Distances. - Silvia García-Díez; François Fouss; Masashi Shimbo; Marco Saerens (ICPR, 2010)

The Sum-over-Paths Covariance Kernel: A Novel Covariance Measure between Nodes of a Directed Graph. - Amin Mantrach; Luh Yen; Jérôme Callut; Kevin Françoisse; Masashi Shimbo; Marco Saerens (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

HITS-based Seed Selection and Stop List Construction for Bootstrapping. - Tetsuo Kiso; Masashi Shimbo; Mamoru Komachi; Yuji Matsumoto 001 (ACL (2), 2011)

Using the Mutual k-Nearest Neighbor Graphs for Semi-supervised Classification on Natural Language Data. - Kohei Ozaki; Masashi Shimbo; Mamoru Komachi; Yuji Matsumoto 001 (CoNLL, 2011)

A sum-over-paths extension of edit distances accounting for all sequence alignments. - Silvia García-Díez; François Fouss; Masashi Shimbo; Marco Saerens (Pattern Recognit., 2011)

Semi-supervised classification and betweenness computation on large, sparse, directed graphs. - Amin Mantrach; Nicolas van Zeebroeck; Pascal Francq; Masashi Shimbo; Hugues Bersini; Marco Saerens (Pattern Recognit., 2011)

Investigating the Effectiveness of Laplacian-Based Kernels in Hub Reduction. - Ikumi Suzuki; Kazuo Hara; Masashi Shimbo; Yuji Matsumoto 001; Marco Saerens (AAAI, 2012)

Walk-based Computation of Contextual Word Similarity. - Kazuo Hara; Ikumi Suzuki; Masashi Shimbo; Yuji Matsumoto 001 (COLING, 2012)

Centering Similarity Measures to Reduce Hubs. - Ikumi Suzuki; Kazuo Hara; Masashi Shimbo; Marco Saerens; Kenji Fukumizu (EMNLP, 2013)

Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks. - Masashi Tsubaki; Kevin Duh; Masashi Shimbo; Yuji Matsumoto 001 (EMNLP, 2013)

The Sum-over-Forests Density Index: Identifying Dense Regions in a Graph. - Mathieu Senelle; Silvia García-Díez; Amin Mantrach; Masashi Shimbo; Marco Saerens; François Fouss (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Localized Centering: Reducing Hubness in Large-Sample Data. - Kazuo Hara; Ikumi Suzuki; Masashi Shimbo; Kei Kobayashi; Kenji Fukumizu; Milos Radovanovic 001 (AAAI, 2015)

Coordination-Aware Dependency Parsing (Preliminary Report). - Akifumi Yoshimoto; Kazuo Hara; Masashi Shimbo; Yuji Matsumoto 001 (IWPT, 2015)

Ridge Regression, Hubness, and Zero-Shot Learning. - Yutaro Shigeto; Ikumi Suzuki; Kazuo Hara; Masashi Shimbo; Yuji Matsumoto 001 (ECML/PKDD (1), 2015)

Non-Linear Similarity Learning for Compositionality. - Masashi Tsubaki; Kevin Duh; Masashi Shimbo; Yuji Matsumoto 001 (AAAI, 2016)

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

Knowledge Transfer for Out-of-Knowledge-Base Entities : A Graph Neural Network Approach. - Takuo Hamaguchi; Hidekazu Oiwa; Masashi Shimbo; Yuji Matsumoto 001 (IJCAI, 2017)

A Fast and Easy Regression Technique for k-NN Classification Without Using Negative Pairs. - Yutaro Shigeto; Masashi Shimbo; Yuji Matsumoto 001 (PAKDD (1), 2017)

An Algebraic Formalization of Forward and Forward-backward Algorithms. - Ai Azuma; Masashi Shimbo; Yuji Matsumoto 001 (CoRR, 2017)

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

Ranking-Based Automatic Seed Selection and Noise Reduction for Weakly Supervised Relation Extraction. - Van-Thuy Phi; Joan Santoso; Masashi Shimbo; Yuji Matsumoto 001 (ACL (2), 2018)

Citation Recommendation Using Distributed Representation of Discourse Facets in Scientific Articles. - Yuta Kobayashi; Masashi Shimbo; Yuji Matsumoto 001 (JCDL, 2018)

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

Distant Supervision for Relation Extraction via Piecewise Attention and Bag-Level Contextual Inference. - Van-Thuy Phi; Joan Santoso; Van-Hien Tran; Hiroyuki Shindo; Masashi Shimbo; Yuji Matsumoto 001 (IEEE Access, 2019)

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

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

Transductive Data Augmentation with Relational Path Rule Mining for Knowledge Graph Embedding. - Yushi Hirose; Masashi Shimbo; Taro Watanabe (ICBK, 2021)

Learning Decorrelated Representations Efficiently Using Fast Fourier Transform. - Yutaro Shigeto; Masashi Shimbo; Yuya Yoshikawa; Akikazu Takeuchi (CVPR, 2023)

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

Action class relation detection and classification across multiple video datasets. - Yuya Yoshikawa; Yutaro Shigeto; Masashi Shimbo; Akikazu Takeuchi (Pattern Recognit. Lett., 2023)

Rethinking Loss Functions for Fact Verification. - Yuta Mukobara; Yutaro Shigeto; Masashi Shimbo (EACL (2), 2024)