Masashi Shimbo

61 papers A* 11A 1B 4Journal 23Unranked 22
YearRankTypeTitle / Venue / Authors
2024 — conf
Rethinking Loss Functions for Fact Verification.
EACL (2)
Yuta Mukobara, Yutaro Shigeto, Masashi Shimbo
2024 J jnl
Rethinking Loss Functions for Fact Verification.
CoRR
Yuta Mukobara, Yutaro Shigeto, Masashi Shimbo
2023 J jnl
Action Class Relation Detection and Classification Across Multiple Video Datasets.
CoRR
Yuya Yoshikawa, Yutaro Shigeto, Masashi Shimbo, Akikazu Takeuchi
2023 J jnl
Action class relation detection and classification across multiple video datasets.
Pattern Recognit. Lett.
Yuya Yoshikawa, Yutaro Shigeto, Masashi Shimbo, Akikazu Takeuchi
2023 J jnl
Binarized Embeddings for Fast, Space-Efficient Knowledge Graph Completion.
IEEE Trans. Knowl. Data Eng.
Katsuhiko Hayashi, Koki Kishimoto, Masashi Shimbo
2023 A* conf
Learning Decorrelated Representations Efficiently Using Fast Fourier Transform.
CVPR
Yutaro Shigeto, Masashi Shimbo, Yuya Yoshikawa, Akikazu Takeuchi
2023 J jnl
Learning Decorrelated Representations Efficiently Using Fast Fourier Transform.
CoRR
Yutaro Shigeto, Masashi Shimbo, Yuya Yoshikawa, Akikazu Takeuchi
2021 — conf
Transductive Data Augmentation with Relational Path Rule Mining for Knowledge Graph Embedding.
ICBK
Yushi Hirose, Masashi Shimbo, Taro Watanabe
2021 J jnl
Transductive Data Augmentation with Relational Path Rule Mining for Knowledge Graph Embedding.
CoRR
Yushi Hirose, Masashi Shimbo, Taro Watanabe
2020 — conf
A Greedy Bit-flip Training Algorithm for Binarized Knowledge Graph Embeddings.
EMNLP (Findings)
Katsuhiko Hayashi, Koki Kishimoto, Masashi Shimbo
2019 — conf
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs.
EMNLP/IJCNLP (1)
Katsuhiko Hayashi, Masashi Shimbo
2019 J jnl
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs.
CoRR
Katsuhiko Hayashi, Masashi Shimbo
2019 J jnl
Binarized Canonical Polyadic Decomposition for Knowledge Graph Completion.
CoRR
Koki Kishimoto, Katsuhiko Hayashi, Genki Akai, Masashi Shimbo
2019 — conf
Binarized Knowledge Graph Embeddings.
ECIR (1)
Koki Kishimoto, Katsuhiko Hayashi, Genki Akai, Masashi Shimbo, Kazunori Komatani
2019 J jnl
Binarized Knowledge Graph Embeddings.
CoRR
Koki Kishimoto, Katsuhiko Hayashi, Genki Akai, Masashi Shimbo, Kazunori Komatani
2019 J jnl
Distant Supervision for Relation Extraction via Piecewise Attention and Bag-Level Contextual Inference.
IEEE Access
Van-Thuy Phi, Joan Santoso, Van-Hien Tran, Hiroyuki Shindo, Masashi Shimbo, Yuji Matsumoto
2018 J jnl
A Fast and Easy Regression Technique for k-NN Classification Without Using Negative Pairs.
CoRR
Yutaro Shigeto, Masashi Shimbo, Yuji Matsumoto
2018 — conf
Citation Recommendation Using Distributed Representation of Discourse Facets in Scientific Articles.
JCDL
Yuta Kobayashi, Masashi Shimbo, Yuji Matsumoto
2018 A* conf
Data-Dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion.
AAAI
Hitoshi Manabe, Katsuhiko Hayashi, Masashi Shimbo
2018 J jnl
Data-dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion.
CoRR
Hitoshi Manabe, Katsuhiko Hayashi, Masashi Shimbo
2018 — conf
Neural Tensor Networks with Diagonal Slice Matrices.
NAACL-HLT
Takahiro Ishihara, Katsuhiko Hayashi, Hitoshi Manabe, Masashi Shimbo, Masaaki Nagata
2018 — conf
Ranking-Based Automatic Seed Selection and Noise Reduction for Weakly Supervised Relation Extraction.
ACL (2)
Van-Thuy Phi, Joan Santoso, Masashi Shimbo, Yuji Matsumoto
2017 — conf
A Fast and Easy Regression Technique for k-NN Classification Without Using Negative Pairs.
PAKDD (1)
Yutaro Shigeto, Masashi Shimbo, Yuji Matsumoto
2017 J jnl
An Algebraic Formalization of Forward and Forward-backward Algorithms.
CoRR
Ai Azuma, Masashi Shimbo, Yuji Matsumoto
2017 A* conf
Knowledge Transfer for Out-of-Knowledge-Base Entities : A Graph Neural Network Approach.
IJCAI
Takuo Hamaguchi, Hidekazu Oiwa, Masashi Shimbo, Yuji Matsumoto
2017 J jnl
Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach.
CoRR
Takuo Hamaguchi, Hidekazu Oiwa, Masashi Shimbo, Yuji Matsumoto
2017 — conf
On the Equivalence of Holographic and Complex Embeddings for Link Prediction.
ACL (2)
Katsuhiko Hayashi, Masashi Shimbo
2017 J jnl
On the Equivalence of Holographic and Complex Embeddings for Link Prediction.
CoRR
Katsuhiko Hayashi, Masashi Shimbo
2016 A* conf
Non-Linear Similarity Learning for Compositionality.
AAAI
Masashi Tsubaki, Kevin Duh, Masashi Shimbo, Yuji Matsumoto
2015 — conf
Coordination-Aware Dependency Parsing (Preliminary Report).
IWPT
Akifumi Yoshimoto, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto
2015 A* conf
Localized Centering: Reducing Hubness in Large-Sample Data.
AAAI
Kazuo Hara, Ikumi Suzuki, Masashi Shimbo, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic
2015 — conf
Ridge Regression, Hubness, and Zero-Shot Learning.
ECML/PKDD (1)
Yutaro Shigeto, Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto
2015 J jnl
Ridge Regression, Hubness, and Zero-Shot Learning.
CoRR
Yutaro Shigeto, Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto
2014 J jnl
The Sum-over-Forests Density Index: Identifying Dense Regions in a Graph.
IEEE Trans. Pattern Anal. Mach. Intell.
Mathieu Senelle, Silvia García-Díez, Amin Mantrach, Masashi Shimbo, Marco Saerens, François Fouss
2013 A* conf
Centering Similarity Measures to Reduce Hubs.
EMNLP
Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Marco Saerens, Kenji Fukumizu
2013 A* conf
Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks.
EMNLP
Masashi Tsubaki, Kevin Duh, Masashi Shimbo, Yuji Matsumoto
2013 J jnl
The Sum-over-Forests density index: identifying dense regions in a graph
CoRR
Mathieu Senelle, Silvia García-Díez, Amin Mantrach, Masashi Shimbo, Marco Saerens, François Fouss
2012 A* conf
Investigating the Effectiveness of Laplacian-Based Kernels in Hub Reduction.
AAAI
Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto, Marco Saerens
2012 B conf
Walk-based Computation of Contextual Word Similarity.
COLING
Kazuo Hara, Ikumi Suzuki, Masashi Shimbo, Yuji Matsumoto
2011 J jnl
A sum-over-paths extension of edit distances accounting for all sequence alignments.
Pattern Recognit.
Silvia García-Díez, François Fouss, Masashi Shimbo, Marco Saerens
2011 — conf
HITS-based Seed Selection and Stop List Construction for Bootstrapping.
ACL (2)
Tetsuo Kiso, Masashi Shimbo, Mamoru Komachi, Yuji Matsumoto
2011 J jnl
Semi-supervised classification and betweenness computation on large, sparse, directed graphs.
Pattern Recognit.
Amin Mantrach, Nicolas van Zeebroeck, Pascal Francq, Masashi Shimbo, Hugues Bersini, Marco Saerens
2011 B conf
Using the Mutual k-Nearest Neighbor Graphs for Semi-supervised Classification on Natural Language Data.
CoNLL
Kohei Ozaki, Masashi Shimbo, Mamoru Komachi, Yuji Matsumoto
2010 B conf
Normalized Sum-over-Paths Edit Distances.
ICPR
Silvia García-Díez, François Fouss, Masashi Shimbo, Marco Saerens
2010 J jnl
The Sum-over-Paths Covariance Kernel: A Novel Covariance Measure between Nodes of a Directed Graph.
IEEE Trans. Pattern Anal. Mach. Intell.
Amin Mantrach, Luh Yen, Jérôme Callut, Kevin Françoisse, Masashi Shimbo, Marco Saerens
2009 — conf
A graph-based approach for biomedical thesaurus expansion.
DTMBIO
Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto
2009 — conf
Bypassed alignment graph for learning coordination in Japanese sentences.
ACL/IJCNLP (2)
Hideharu Okuma, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto
2009 — conf
Coordinate Structure Analysis with Global Structural Constraints and Alignment-Based Local Features.
ACL/IJCNLP
Kazuo Hara, Masashi Shimbo, Hideharu Okuma, Yuji Matsumoto
2009 J jnl
On the properties of von Neumann kernels for link analysis.
Mach. Learn.
Masashi Shimbo, Takahiko Ito, Daichi Mochihashi, Yuji Matsumoto
2008 A* conf
A family of dissimilarity measures between nodes generalizing both the shortest-path and the commute-time distances.
KDD
Luh Yen, Marco Saerens, Amin Mantrach, Masashi Shimbo
2008 B conf
Generic Text Summarization Using Probabilistic Latent Semantic Indexing.
IJCNLP
Harendra Bhandari, Masashi Shimbo, Takahiko Ito, Yuji Matsumoto
2008 A* conf
Graph-based Analysis of Semantic Drift in Espresso-like Bootstrapping Algorithms.
EMNLP
Mamoru Komachi, Taku Kudo, Masashi Shimbo, Yuji Matsumoto
2007 — conf
A Discriminative Learning Model for Coordinate Conjunctions.
EMNLP-CoNLL
Masashi Shimbo, Kazuo Hara
2007 — conf
Evaluation of kernel-based link analysis measures on research paper recommendation.
JCDL
Masashi Shimbo, Takahiko Ito, Yuji Matsumoto
2006 — conf
Exploring Multiple Communities with Kernel-Based Link Analysis.
PKDD
Takahiko Ito, Masashi Shimbo, Daichi Mochihashi, Yuji Matsumoto
2006 — conf
Investigating the Effect of Multiple Communities on Kernel-Based Citation Analysis.
ICDE Workshops
Takahiko Ito, Masashi Shimbo, Daichi Mochihashi, Yuji Matsumoto
2005 A* conf
Application of kernels to link analysis.
KDD
Takahiko Ito, Masashi Shimbo, Taku Kudo, Yuji Matsumoto
2003 J jnl
Controlling the learning process of real-time heuristic search.
Artif. Intell.
Masashi Shimbo, Toru Ishida
2003 — conf
Sentence Role Identification in Medline Abstracts: Training Classifier with Structured Abstracts.
Active Mining
Masashi Shimbo, Takahiro Yamasaki, Yuji Matsumoto
2000 A conf
Towards Real-Time Search with Inadmissible Heuristics.
ECAI
Masashi Shimbo, Toru Ishida
1996 — conf
Improving the Learning Efficiencies of Realtime Search.
AAAI/IAAI, Vol. 1
Toru Ishida, Masashi Shimbo