Masashi Shimbo

发表

Normalized Sum-over-Paths Edit Distances

François Fouss, Marco Saerens, Silvia García-Díez, 2010, 2010 20th International Conference on Pattern Recognition.

A Kernel-based Account of Bibliometric Measures

Yuji Matsumoto, Taku Kudo, Masashi Shimbo, 2004 .

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

Yuji Matsumoto, Joan Santoso, Masashi Shimbo, 2018, ACL.

On the properties of von Neumann kernels for link analysis

Yuji Matsumoto, Daichi Mochihashi, Masashi Shimbo, 2009, Machine Learning.

Labeling Nodes: Within-Network Classification

François Fouss, Marco Saerens, Masashi Shimbo, 2016 .

roving the Learning Efficiencies of ealtime Searc

Toru Ishida, Masashi Shimbo, T. Ishida, 1996 .

Binarized Knowledge Graph Embeddings

Masashi Shimbo, Kazunori Komatani, Katsuhiko Hayashi, 2019, ECIR.

A sum-over-paths extension of edit distances accounting for all sequence alignments

François Fouss, Marco Saerens, Silvia García-Díez, 2011, Pattern Recognit..

Yuji Matsumoto, Kevin Duh, Masashi Shimbo, 2016, AAAI.

Walk-based Computation of Contextual Word Similarity

Yuji Matsumoto, Ikumi Suzuki, Masashi Shimbo, 2012, COLING.

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

Masashi Shimbo, Katsuhiko Hayashi, Hitoshi Manabe, 2018, AAAI.

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

Yuji Matsumoto, Masashi Shimbo, Takahiro Yamasaki, 2003, Active Mining.

Marco Saerens, Kenji Fukumizu, Ikumi Suzuki, 2013, EMNLP.

Semi-supervised sentence classification for MEDLINE documents

Masashi Shimbo, Takahiro Yamasaki, Takahiko Ito, 2004 .

Improving the Learning Efficiencies of Realtime Search

Toru Ishida, Masashi Shimbo, T. Ishida, 1996, AAAI/IAAI, Vol. 1.

Controlling Learning Processes

Masashi Shimbo, 1997 .

An Alignment-Based Method for Learning Coordinate Phrases in Biomedical Abstracts

Yuji Matsumoto, Masashi Shimbo, Kazuo Hara, 2007, Transactions of the Japanese Society for Artificial Intelligence.

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

Yuji Matsumoto, Mamoru Komachi, Masashi Shimbo, 2011, CoNLL.

Mutual k-Nearest Neighbor Graph Construction in Graph-based Semi-Supervised Classification

Yuji Matsumoto, Mamoru Komachi, Masashi Shimbo, 2013, Transactions of the Japanese Society for Artificial Intelligence.

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

Yuji Matsumoto, Taku Kudo, Mamoru Komachi, 2008, EMNLP.

François Fouss, Marco Saerens, Masashi Shimbo, 2016 .

Preliminaries and Notation

François Fouss, Marco Saerens, Masashi Shimbo, 2016 .

Bypassed Alignment Graph for Learning Coordination inJapanese Sentences: Supplementary Material

Yuji Matsumoto, Masashi Shimbo, Kazuo Hara, 2009 .

A family of dissimilarity measures between nodes generalizing both the shortest-path and the commute-time distances

Luh Yen, Marco Saerens, Masashi Shimbo, 2008, KDD.

Application of Kernels to Link Analysis: First Results

Yuji Matsumoto, Taku Kudo, Masashi Shimbo, 2004 .

Reducing Hub Translation Candidates Improves the Accuracy of Bilingual Lexicon Extraction from Comparable Corpora

Yuji Matsumoto, Ikumi Suzuki, Masashi Shimbo, 2016 .

An Algebraic Formalization of Forward and Forward-backward Algorithms pdf

Yuji Matsumoto, Masashi Shimbo, Ai Azuma, 2017, ArXiv.

Bypassed alignment graph for learning coordination in Japanese sentences

Yuji Matsumoto, Masashi Shimbo, Kazuo Hara, 2009, ACL/IJCNLP.

Citation Indexing Using Many Similarity Measures

Yuji Matsumoto, Masashi Shimbo, Takahiko Ito, 2003 .

Yuji Matsumoto, Masashi Shimbo, Masashi Tsubaki, 2016 .

Reducing Hubs with Laplacian-based Kernels

Yuji Matsumoto, Ikumi Suzuki, Masashi Shimbo, 2013 .

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

Masashi Shimbo, Katsuhiko Hayashi, 2019, EMNLP/IJCNLP.

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

Yuji Matsumoto, Masashi Shimbo, Yutaro Shigeto, 2017, PAKDD.

Semi-supervised sentence classification for MEDLINE documents(Medical Data Mining)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining)

Yuji Matsumoto, Masashi Shimbo, Takahiro Yamasaki, 2004 .

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

Yuji Matsumoto, Masashi Shimbo, Takahiko Ito, 2007, JCDL '07.

Towards Real-Time Search with Inadmissible Heuristics

Toru Ishida, Masashi Shimbo, T. Ishida, 2000, ECAI.

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

Yuji Matsumoto, Masashi Shimbo, Kazuo Hara, 2009, ACL/IJCNLP.

On the Equivalence of Holographic and Complex Embeddings for Link Prediction

Masashi Shimbo, Katsuhiko Hayashi, M. Shimbo, 2017, ACL.

HITS-based Seed Selection and Stop List Construction for Bootstrapping

Yuji Matsumoto, Mamoru Komachi, Masashi Shimbo, 2011, ACL.

Ridge Regression, Hubness, and Zero-Shot Learning

Yuji Matsumoto, Ikumi Suzuki, Masashi Shimbo, 2015, ECML/PKDD.

A Discriminative Learning Method for Japanese Coordinate Phrases Based on Sequence Alignment

Yuji Matsumoto, Masashi Shimbo, Kazuo Hara, 2009 .

Finding cue expressions for knowledge extraction from scientific text early results

Yuji Matsumoto, Masashi Shimbo, S Tamamori, 2004 .

Computation of Contextual Word Similarity Exploiting Syntactic and Semantic Structural Co-occurrences

Yuji Matsumoto, Ikumi Suzuki, Masashi Shimbo, 2013 .

Algorithms and Models for Network Data and Link Analysis

Marco Saerens, Masashi Shimbo, Franois Fouss, 2016 .

Link analysis with Kernels

Yuji Matsumoto, Taku Kudo, Masashi Shimbo, 2004 .

XX The Sum-over-Forests density index : identifying dense regions in a graph

François Fouss, Marco Saerens, Silvia García-Díez, 2013 .

Bypassed Alignment Graphs for Detection and Scope Disambiguation of Japanese Coordinate Phrases

Yuji Matsumoto, Masashi Shimbo, Kazuo Hara, 2010 .

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

Yuji Matsumoto, Kevin Duh, Masashi Shimbo, 2013, EMNLP.

A Discriminative Learning Model for Coordinate Conjunctions

Masashi Shimbo, Kazuo Hara, M. Shimbo, 2007, EMNLP.

Exploring Multiple Communities with Kernel-Based Link Analysis

Yuji Matsumoto, Daichi Mochihashi, Masashi Shimbo, 2006, PKDD.

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

Yuji Matsumoto, Hidekazu Oiwa, Masashi Shimbo, 2017, ArXiv.

A graph-based approach for biomedical thesaurus expansion

Yuji Matsumoto, Ikumi Suzuki, Masashi Shimbo, 2009, DTMBIO.

Controlling the learning process of real-time heuristic search

Toru Ishida, Masashi Shimbo, T. Ishida, 2003, Artif. Intell..

Protein Fold Recognition with Representation Learning and Long Short-Term Memory

Masashi Shimbo, Masashi Tsubaki, Yuji Matsumoto, 2016 .

Generic Text Summarization Using Probabilistic Latent Semantic Indexing

Yuji Matsumoto, Masashi Shimbo, Takahiko Ito, 2008, IJCNLP.

Coordination Analysis Using Global Structural Constraints and Alignment-based Local Features

Yuji Matsumoto, Masashi Shimbo, Kazuo Hara, 2010 .

Identifying Prestigious Nodes

François Fouss, Marco Saerens, Masashi Shimbo, 2016 .

Coordination-Aware Dependency Parsing (Preliminary Report)

Yuji Matsumoto, Masashi Shimbo, Kazuo Hara, 2015, IWPT.

Neural Tensor Networks with Diagonal Slice Matrices

Masaaki Nagata, Masashi Shimbo, Katsuhiko Hayashi, 2018, NAACL-HLT.

Citation Recommendation Using Distributed Representation of Discourse Facets in Scientific Articles

Yuji Matsumoto, Masashi Shimbo, Yuta Kobayashi, 2018, JCDL.

The Sum-over-Paths Covariance Kernel: A Novel Covariance Measure between Nodes of a Directed Graph

Kevin Françoisse, Luh Yen, Marco Saerens, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Application of kernels to link analysis

Yuji Matsumoto, Taku Kudo, Masashi Shimbo, 2005, KDD '05.

Semi-supervised classification and betweenness computation on large, sparse, directed graphs

Marco Saerens, Hugues Bersini, Nicolas van Zeebroeck, 2011, Pattern Recognit..

Semi-supervised sentence classification for MEDLINE documents (Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ and IEICE-SIGAI on Active Mining) -- (Session 8: Medical Data Mining)

Masashi Shimbo, Takahiro Yamasaki, Takahiko Ito, 2004 .

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

Yuji Matsumoto, Hidekazu Oiwa, Masashi Shimbo, 2017, IJCAI.

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

Yuji Matsumoto, Daichi Mochihashi, Masashi Shimbo, 2006, 22nd International Conference on Data Engineering Workshops (ICDEW'06).

Localized Centering: Reducing Hubness in Large-Sample Data

Kenji Fukumizu, Ikumi Suzuki, Masashi Shimbo, 2015, AAAI.

Investigating the Effectiveness of Laplacian-Based Kernels in Hub Reduction

Yuji Matsumoto, Marco Saerens, Ikumi Suzuki, 2012, AAAI.

Semantic Drift in Espresso-style Bootstrapping: Graph-theoretic Analysis and Evaluation in Word Sense Disambiguation

Yuji Matsumoto, Taku Kudo, Mamoru Komachi, 2010 .

The Sum-over-Forests Density Index: Identifying Dense Regions in a Graph

François Fouss, Marco Saerens, Silvia García-Díez, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Binarized Embeddings for Fast, Space-Efficient Knowledge Graph Completion

Masashi Shimbo, Koki Kishimoto, Katsuhiko Hayashi, 2021 .

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

Masashi Shimbo, Taro Watanabe, Yushi Hirose, 2021, 2021 IEEE International Conference on Big Knowledge (ICBK).

Kernels as Link Analysis Measures

Masashi Shimbo, Takahiko Ito, 2006 .

Developments in the theory of randomized shortest paths with a comparison of graph node distances

Marco Saerens, Masashi Shimbo, Marco Saerens, 2012, 1212.1666.

Automatic Classification of Sentences in the MEDLINE Abstracts : A Case Study of the Power of Word Sequence Features

Yuji Matsumoto, Masashi Shimbo, Takahiro Yamasaki, 2003 .