Kiyoshi Kogure


2008

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Relationships between Nursing Converstaions and Activities
Hiromi Itoh Ozaku | Akinori Abe | Kaoru Sagara | Kiyoshi Kogure
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

In this paper, we determine the relationships between nursing activities and nurseing conversations based on the principle of maximum entropy. For analysis of the features of nursing activities, we built nursing corpora from actual nursing conversation sets collected in hospitals that involve various information about nursing activities. Ex-nurses manually assigned nursing activity information to the nursing conversations in the corpora. Since it is inefficient and too expensive to attach all information manually, we introduced an automatic nursing activity determination method for which we built models of relationships between nursing conversations and activities. In this paper, we adopted a maximum entropy approach for learning. Even though the conversation data set is not large enough for learning, acceptable results were obtained.

2006

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Features of Terms in Actual Nursing Activities
Hiromi itoh Ozaku | Akinori Abe | Kaoru Sagara | Noriaki Kuwahara | Kiyoshi Kogure
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

In this paper, we analyze nurses' dialogue and conversation data sets after manual transcriptions and show their features. Recently, medical risk management has been recognized as very important for both hospitals and their patients. To carry out medical risk management, it is important to model nursing activities as well as to collect many accident and incident examples. Therefore, we are now researching strategies of modeling nursing activities in order to understand them (E-nightingale Project). To model nursing activities, it is necessary to collect data of nurses' activities in actual situations and to accurately understand these activities and situations. We developed a method to determine any type of nursing activity from voice data. However we found that our method could not determine several activities because it misunderstood special nursing terms. To improve the accuracy of this method, we focus on analyzing nurses' dialogue and conversation data and on collecting special nursing terms. We have already collected 800 hours of nurses' dialogue and conversation data sets in hospitals to find the tendencies and features of how nurses use special terms such as abbreviations and jargon as well as new terms. Consequently, in this paper we categorize nursing terms according to their usage and effectiveness. In addition, based on the results, we show a rough strategy for building nursing dictionaries.

2005

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Building Dialogue Corpora for Nursing Activity Analysis
Hiromi itoh Ozaku | Akinori Abe | Noriaki Kuwahara | Futoshi Naya | Kiyoshi Kogure | Kaoru Sagara
Proceedings of the Sixth International Workshop on Linguistically Interpreted Corpora (LINC-2005)

1996

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Parsing Plans Situation-Dependently in Dialogues
Kiyoshi Kogure | Akira Shimazu | Mikio Nakano
COLING 1996 Volume 2: The 16th International Conference on Computational Linguistics

1994

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Structure Sharing Problem and Its Solution in Graph Unification
Kiyoshi Kogure
COLING 1994 Volume 2: The 15th International Conference on Computational Linguistics

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A Grammar and a Parser for Spontaneous Speech
Mikio Nakano | Akira Shimazu | Kiyoshi Kogure
COLING 1994 Volume 2: The 15th International Conference on Computational Linguistics

1992

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A Treatment of Negative Descriptions of Typed Feature Structures
Kiyoshi Kogure
COLING 1992 Volume 1: The 15th International Conference on Computational Linguistics

1990

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Generation for Dialogue Translation Using Typed Feature Structure Unification
Yoshihiro Ueda | Kiyoshi Kogure
COLING 1990 Volume 1: Papers presented to the 13th International Conference on Computational Linguistics

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Strategic Lazy Incremental Copy Graph Unification
Kiyoshi Kogure
COLING 1990 Volume 2: Papers presented to the 13th International Conference on Computational Linguistics

1989

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Parsing Japanese Spoken Sentences Based on HPSG
Kiyoshi Kogure
Proceedings of the First International Workshop on Parsing Technologies

An analysis method for Japanese spoken sentences based on HPSG has been developed. Any analysis module for the interpreting telephony task requires the following capabilities: (i) the module must be able to treat spoken-style sentences; and, (ii) the module must be able to take, as its input, lattice-like structures which include both correct and incorrect constituent candidates of a speech recognition module. To satisfy these requirements, an analysis method has been developed, which consists of a grammar designed for treating spoken-style Japanese sentences and a parser designed for taking as its input speech recognition output lattices. The analysis module based on this method is used as part of the NADINE (Natural Dialogue Interpretation Expert) system and the SL-TRANS (Spoken Language Translation) system.

1988

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Parsing Japanese Honorifics in Unification-Based Grammar
Hiroyuki Maeda | Susumu Kato | Kiyoshi Kogure | Hitoshi Iida
26th Annual Meeting of the Association for Computational Linguistics