Dialogue Act Recognition with Bayesian Networks for Dutch Dialogues

K. Jokinen; S. Keizer; S. McRoy; Hendrikus J.A. op den Akker; Antinus Nijholt

doi:10.3115/1118121.1118134

Dialogue Act Recognition with Bayesian Networks for Dutch Dialogues

K. Jokinen (Editor), S. Keizer, S. McRoy (Editor), Hendrikus J.A. op den Akker, Antinus Nijholt

Research output: Contribution to conference › Paper › Academic › peer-review

39 Citations (Scopus)

80 Downloads (Pure)

Abstract

This paper presents work on using Bayesian networks for the dialogue act recognition module of a dialogue system for Dutch dialogues. The Bayesian networks can be constructed from the data in an annotated dialogue corpus. For two series of experiments - using different corpora but the same annotation scheme - recognition results are presented and evaluated.

Original language	Undefined
Pages	88-94
Number of pages	7
DOIs	https://doi.org/10.3115/1118121.1118134
Publication status	Published - 11 Jul 2002
Event	3rd SIGdial Workshop on Discourse and Dialogue - Philadelphia, Pennsylvania Duration: 11 Jul 2002 → 12 Jul 2002

Workshop

Workshop	3rd SIGdial Workshop on Discourse and Dialogue
Period	11/07/02 → 12/07/02
Other	11-12 July 2002

Keywords

EWI-9954
HMI-MI: MULTIMODAL INTERACTIONS
IR-67141

Access to Document

10.3115/1118121.1118134

Cite this

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title = "Dialogue Act Recognition with Bayesian Networks for Dutch Dialogues",

abstract = "This paper presents work on using Bayesian networks for the dialogue act recognition module of a dialogue system for Dutch dialogues. The Bayesian networks can be constructed from the data in an annotated dialogue corpus. For two series of experiments - using different corpora but the same annotation scheme - recognition results are presented and evaluated.",

keywords = "EWI-9954, HMI-MI: MULTIMODAL INTERACTIONS, IR-67141",

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year = "2002",

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AB - This paper presents work on using Bayesian networks for the dialogue act recognition module of a dialogue system for Dutch dialogues. The Bayesian networks can be constructed from the data in an annotated dialogue corpus. For two series of experiments - using different corpora but the same annotation scheme - recognition results are presented and evaluated.

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KW - HMI-MI: MULTIMODAL INTERACTIONS

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