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Mitsuru Ishizuka

Researcher at University of Tokyo

Publications -  438
Citations -  11285

Mitsuru Ishizuka is an academic researcher from University of Tokyo. The author has contributed to research in topics: Social Semantic Web & The Internet. The author has an hindex of 50, co-authored 438 publications receiving 10910 citations. Previous affiliations of Mitsuru Ishizuka include Purdue University & Association for Computing Machinery.

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Keyword extraction from a single document using word co-occurrence statistical information

TL;DR: This article presented a new keyword extraction algorithm that applies to a single document without using a corpus and showed comparable performance to tfidf without using TFIDF without using any corpus, but the degree of biases of distribution is measured by the χ 2 -measure.
Proceedings ArticleDOI

Measuring Semantic Similarity between Words Using Web Search Engines

TL;DR: A robust semantic similarity measure that uses the information available on the Web to measure similarity between words or entities and a novel approach to compute semantic similarity using automatically extracted lexico-syntactic patterns from text snippets is proposed.
Journal ArticleDOI

The empathic companion: a character-based interface that addresses users' affective states

TL;DR: The Empathic Companion, an animated interface agent that accompanies the user in the setting of a virtual job interview, is described, which suggests that empathic feedback has a positive effect on the interviewee's stress level while hearing the interviewer question.

HILDA: A Discourse Parser Using Support Vector Machine Classification

TL;DR: This article presents HILDA, an implemented discourse parser based on RST and Support Vector Machine (SVM) classification that outperforms other discourse parsers for tree structure construction and discourse relation labeling.
Journal ArticleDOI

POLYPHONET: An advanced social network extraction system from the Web

TL;DR: A social network extraction system called POLYPHONET is proposed, which employs several advanced techniques to extract relations of persons, to detect groups of people, and to obtain keywords for a person.