Toshiyuki Kanamaru


2008

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Non-Factoid Japanese Question Answering through Passage Retrieval that Is Weighted Based on Types of Answers
Masaki Murata | Sachiyo Tsukawaki | Toshiyuki Kanamaru | Qing Ma | Hitoshi Isahara
Proceedings of the Third International Joint Conference on Natural Language Processing: Volume-II

2007

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Japanese Expressions that Include English Expressions
Masaki Murata | Toshiyuki Kanamaru | Koichiro Nakamoto | Katsunori Kotani | Hitoshi Isahara
Proceedings of the 21st Pacific Asia Conference on Language, Information and Computation

2006

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Development of an Automatic Trend Exploration System using the MuST Data Collection
Masaki Murata | Koji Ichii | Qing Ma | Tamotsu Shirado | Toshiyuki Kanamaru | Sachiyo Tsukawaki | Hitoshi Isahara
Proceedings of the Workshop on Information Extraction Beyond The Document

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Construction of Adverb Dictionary that Relates to Speaker Attitudes and Evaluation of Its Effectiveness
Toshiyuki Kanamaru | Masaki Murata | Hitoshi Isahara
Proceedings of the 20th Pacific Asia Conference on Language, Information and Computation

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Creation of a Japanese Adverb Dictionary that Includes Information on the Speaker’s Communicative Intention Using Machine Learning
Toshiyuki Kanamaru | Masaki Murata | Hitoshi Isahara
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

Japanese adverbs are classified as either declarative or normal; the former declare the communicative intention of the speaker, while the latter convey a manner of action, a quantity, or a degree by which the adverb modifies the verb or adjective that it accompanies. We have automatically classified adverbs as either declarative or not declarative using a machine-learning method such as the maximum entropy method. We defined adverbs having positive or negative connotations as the positive data. We classified adverbs in the EDR dictionary and IPADIC used by Chasen using this result and built an adverb dictionary that contains descriptions of the communicative intentions of the speaker.

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Machine-Learning-Based Transformation of Passive Japanese Sentences into Active by Separating Training Data into Each Input Particle
Masaki Murata | Toshiyuki Kanamaru | Tamotsu Shirado | Hitoshi Isahara
Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions

2005

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Analysis of Machine Translation Systems’ Errors in Tense, Aspect, and Modality
Masaki Murata | Kiyotaka Uchimoto | Qing Ma | Toshiyuki Kanamaru | Hitoshi Isahara
Proceedings of the 19th Pacific Asia Conference on Language, Information and Computation

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Trend Survey on Japanese Natural Language Processing Studies over the Last Decade
Masaki Murata | Koji Ichii | Qing Ma | Tamotsu Shirado | Toshiyuki Kanamaru | Hitoshi Isahara
Companion Volume to the Proceedings of Conference including Posters/Demos and tutorial abstracts

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Obtaining Japanese Lexical Units for Semantic Frames from Berkeley FrameNet Using a Bilingual Corpus
Toshiyuki Kanamaru | Masaki Murata | Kow Kuroda | Hitoshi Isahara
Proceedings of the Sixth International Workshop on Linguistically Interpreted Corpora (LINC-2005)