Structural analysis of instruction utterances

Tomohide Shibata; Daisuke Kawahara; Masashi Okamoto; Sadao Kurohashi; Toyoaki Nishida

doi:10.1007/978-3-540-45226-3_144

Structural analysis of instruction utterances

Tomohide Shibata
, Daisuke Kawahara
, Masashi Okamoto
, Sadao Kurohashi
, Toyoaki Nishida

Research output: Contribution to journal › Conference article › peer-review

10 Citations (Scopus)

Abstract

Toward designing a system which teaches various works interactively and visually, this paper proposes a method of analyzing instruction utterances. One of the biggest problem in dealing with spoken language is ellipsis/anaphor resolution. We resolve it using a domain-specific case frame dictionary constructed automatically from a large amount of texts. Then, we attach utterance-type to distinguish actions from notes, tips, etc. Based on the attached type, we analyze discourse structure of utterances and detect a unit of actions.

Original language	English
Pages (from-to)	1054-1061
Number of pages	8
Journal	Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume	2774 PART 2
DOIs	https://doi.org/10.1007/978-3-540-45226-3_144
Publication status	Published - 2003
Externally published	Yes
Event	7th International Conference, KES 2003 - Oxford, United Kingdom Duration: Sept 3 2003 → Sept 5 2003

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

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10.1007/978-3-540-45226-3_144

Cite this

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abstract = "Toward designing a system which teaches various works interactively and visually, this paper proposes a method of analyzing instruction utterances. One of the biggest problem in dealing with spoken language is ellipsis/anaphor resolution. We resolve it using a domain-specific case frame dictionary constructed automatically from a large amount of texts. Then, we attach utterance-type to distinguish actions from notes, tips, etc. Based on the attached type, we analyze discourse structure of utterances and detect a unit of actions.",

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journal = "Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)",

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T1 - Structural analysis of instruction utterances

AU - Shibata, Tomohide

AU - Kawahara, Daisuke

AU - Okamoto, Masashi

AU - Kurohashi, Sadao

AU - Nishida, Toyoaki

PY - 2003

Y1 - 2003

N2 - Toward designing a system which teaches various works interactively and visually, this paper proposes a method of analyzing instruction utterances. One of the biggest problem in dealing with spoken language is ellipsis/anaphor resolution. We resolve it using a domain-specific case frame dictionary constructed automatically from a large amount of texts. Then, we attach utterance-type to distinguish actions from notes, tips, etc. Based on the attached type, we analyze discourse structure of utterances and detect a unit of actions.

AB - Toward designing a system which teaches various works interactively and visually, this paper proposes a method of analyzing instruction utterances. One of the biggest problem in dealing with spoken language is ellipsis/anaphor resolution. We resolve it using a domain-specific case frame dictionary constructed automatically from a large amount of texts. Then, we attach utterance-type to distinguish actions from notes, tips, etc. Based on the attached type, we analyze discourse structure of utterances and detect a unit of actions.

UR - https://www.scopus.com/pages/publications/8344256476

UR - https://www.scopus.com/pages/publications/8344256476#tab=citedBy

U2 - 10.1007/978-3-540-45226-3_144

DO - 10.1007/978-3-540-45226-3_144

M3 - Conference article

AN - SCOPUS:8344256476

SN - 0302-9743

VL - 2774 PART 2

SP - 1054

EP - 1061

JO - Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

JF - Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

T2 - 7th International Conference, KES 2003

Y2 - 3 September 2003 through 5 September 2003

ER -

Structural analysis of instruction utterances

Abstract

All Science Journal Classification (ASJC) codes

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