Masashi Shimbo

According to our database, Masashi Shimbo authored at least 49 papers between 1996 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Rethinking Loss Functions for Fact Verification.

Yuta Mukobara, Yutaro Shigeto, Masashi Shimbo

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Action class relation detection and classification across multiple video datasets.

Yuya Yoshikawa, Yutaro Shigeto, Masashi Shimbo, Akikazu Takeuchi

Pattern Recognit. Lett., September, 2023

Binarized Embeddings for Fast, Space-Efficient Knowledge Graph Completion.

Katsuhiko Hayashi, Koki Kishimoto, Masashi Shimbo

IEEE Trans. Knowl. Data Eng., 2023

Learning Decorrelated Representations Efficiently Using Fast Fourier Transform.

Yutaro Shigeto, Masashi Shimbo, Yuya Yoshikawa, Akikazu Takeuchi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Transductive Data Augmentation with Relational Path Rule Mining for Knowledge Graph Embedding.

Yushi Hirose, Masashi Shimbo, Taro Watanabe

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

2020

A Greedy Bit-flip Training Algorithm for Binarized Knowledge Graph Embeddings.

Katsuhiko Hayashi, Koki Kishimoto, Masashi Shimbo

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Binarized Canonical Polyadic Decomposition for Knowledge Graph Completion.

Koki Kishimoto, Katsuhiko Hayashi, Genki Akai, Masashi Shimbo

CoRR, 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

IEEE Access, 2019

A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs.

Katsuhiko Hayashi, Masashi Shimbo

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Binarized Knowledge Graph Embeddings.

Koki Kishimoto, Katsuhiko Hayashi, Genki Akai, Masashi Shimbo, Kazunori Komatani

Proceedings of the Advances in Information Retrieval, 2019

2018

Neural Tensor Networks with Diagonal Slice Matrices.

Takahiro Ishihara, Katsuhiko Hayashi, Hitoshi Manabe, Masashi Shimbo, Masaaki Nagata

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Citation Recommendation Using Distributed Representation of Discourse Facets in Scientific Articles.

Yuta Kobayashi, Masashi Shimbo, Yuji Matsumoto

Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, 2018

Ranking-Based Automatic Seed Selection and Noise Reduction for Weakly Supervised Relation Extraction.

Van-Thuy Phi, Joan Santoso, Masashi Shimbo, Yuji Matsumoto

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Data-Dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion.

Hitoshi Manabe, Katsuhiko Hayashi, Masashi Shimbo

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

An Algebraic Formalization of Forward and Forward-backward Algorithms.

Ai Azuma, Masashi Shimbo, Yuji Matsumoto

CoRR, 2017

A Fast and Easy Regression Technique for k-NN Classification Without Using Negative Pairs.

Yutaro Shigeto, Masashi Shimbo, Yuji Matsumoto

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Knowledge Transfer for Out-of-Knowledge-Base Entities : A Graph Neural Network Approach.

Takuo Hamaguchi, Hidekazu Oiwa, Masashi Shimbo, Yuji Matsumoto

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

On the Equivalence of Holographic and Complex Embeddings for Link Prediction.

Katsuhiko Hayashi, Masashi Shimbo

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Non-Linear Similarity Learning for Compositionality.

Masashi Tsubaki, Kevin Duh, Masashi Shimbo, Yuji Matsumoto

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Ridge Regression, Hubness, and Zero-Shot Learning.

Yutaro Shigeto, Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Coordination-Aware Dependency Parsing (Preliminary Report).

Akifumi Yoshimoto, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto

Proceedings of the 14th International Conference on Parsing Technologies, 2015

Localized Centering: Reducing Hubness in Large-Sample Data.

Kazuo Hara, Ikumi Suzuki, Masashi Shimbo, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

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

2013

Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks.

Masashi Tsubaki, Kevin Duh, Masashi Shimbo, Yuji Matsumoto

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Centering Similarity Measures to Reduce Hubs.

Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Marco Saerens, Kenji Fukumizu

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2012

Walk-based Computation of Contextual Word Similarity.

Kazuo Hara, Ikumi Suzuki, Masashi Shimbo, Yuji Matsumoto

Proceedings of the COLING 2012, 2012

Investigating the Effectiveness of Laplacian-Based Kernels in Hub Reduction.

Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto, Marco Saerens

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

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

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

Using the Mutual k-Nearest Neighbor Graphs for Semi-supervised Classification on Natural Language Data.

Kohei Ozaki, Masashi Shimbo, Mamoru Komachi, Yuji Matsumoto

Proceedings of the Fifteenth Conference on Computational Natural Language Learning, 2011

HITS-based Seed Selection and Stop List Construction for Bootstrapping.

Tetsuo Kiso, Masashi Shimbo, Mamoru Komachi, Yuji Matsumoto

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

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

Normalized Sum-over-Paths Edit Distances.

Silvia García-Díez, François Fouss, Masashi Shimbo, Marco Saerens

Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009

On the properties of von Neumann kernels for link analysis.

Masashi Shimbo, Takahiko Ito, Daichi Mochihashi, Yuji Matsumoto

Mach. Learn., 2009

A graph-based approach for biomedical thesaurus expansion.

Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto

Proceedings of the Proceeding of the 3rd International Workshop on Data and Text Mining in Bioinformatics, 2009

Bypassed alignment graph for learning coordination in Japanese sentences.

Hideharu Okuma, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto

Proceedings of the ACL 2009, 2009

Coordinate Structure Analysis with Global Structural Constraints and Alignment-Based Local Features.

Kazuo Hara, Masashi Shimbo, Hideharu Okuma, Yuji Matsumoto

Proceedings of the ACL 2009, 2009

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

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Generic Text Summarization Using Probabilistic Latent Semantic Indexing.

Harendra Bhandari, Masashi Shimbo, Takahiko Ito, Yuji Matsumoto

Proceedings of the Third International Joint Conference on Natural Language Processing, 2008

Graph-based Analysis of Semantic Drift in Espresso-like Bootstrapping Algorithms.

Mamoru Komachi, Taku Kudo, Masashi Shimbo, Yuji Matsumoto

Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

2007

Evaluation of kernel-based link analysis measures on research paper recommendation.

Masashi Shimbo, Takahiko Ito, Yuji Matsumoto

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2007

A Discriminative Learning Model for Coordinate Conjunctions.

Masashi Shimbo, Kazuo Hara

Proceedings of the EMNLP-CoNLL 2007, 2007

2006

Exploring Multiple Communities with Kernel-Based Link Analysis.

Takahiko Ito, Masashi Shimbo, Daichi Mochihashi, Yuji Matsumoto

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Investigating the Effect of Multiple Communities on Kernel-Based Citation Analysis.

Takahiko Ito, Masashi Shimbo, Daichi Mochihashi, Yuji Matsumoto

Proceedings of the 22nd International Conference on Data Engineering Workshops, 2006

2005

Application of kernels to link analysis.

Takahiko Ito, Masashi Shimbo, Taku Kudo, Yuji Matsumoto

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

2003

Controlling the learning process of real-time heuristic search.

Masashi Shimbo, Toru Ishida

Artif. Intell., 2003

Sentence Role Identification in Medline Abstracts: Training Classifier with Structured Abstracts.

Masashi Shimbo, Takahiro Yamasaki, Yuji Matsumoto

Proceedings of the Active Mining, Second International Workshop, 2003

2000

Towards Real-Time Search with Inadmissible Heuristics.

Masashi Shimbo, Toru Ishida

Proceedings of the ECAI 2000, 2000

1996

Improving the Learning Efficiencies of Realtime Search.

Toru Ishida, Masashi Shimbo

Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996