论文信息 - Dialogue Act Recognition with Bayesian Networks for Dutch Dialogues

Dialogue Act Recognition with Bayesian Networks for Dutch Dialogues

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.

[1] Anton Nijholt,et al. Multimodal Interactions with Agents in Virtual Worlds , 2000 .

[2] Stephen Pulman,et al. Conversational Games‚ Belief Revision and Bayesian Networks , 1997 .

[3] David R. Traum,et al. 20 Questions on Dialogue Act Taxonomies , 2000, J. Semant..

[4] Anton Nijholt,et al. Maps, agents and dialogue for exploring a virtual world , 2001 .

[5] Simon Keizer,et al. A Bayesian Approach to Dialogue Act Classication , 2001 .

[6] H. W. Zeevat,et al. A Bayesian Approach to Dialogue Act Classification. BI-DIALOG 2001 , 2001 .

[7] Andreas Stolcke,et al. Dialogue act modeling for automatic tagging and recognition of conversational speech , 2000, CL.

[8] Anton Nijholt,et al. A dialogue agent for navigation support in virtual reality , 2001, CHI Extended Abstracts.

[9] Thomas G. Dietterich. What is machine learning? , 2020, Archives of Disease in Childhood.

[10] Eric Horvitz,et al. Conversation as Action Under Uncertainty , 2000, UAI.

[11] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.

[12] Gregory F. Cooper,et al. A Bayesian method for the induction of probabilistic networks from data , 1992, Machine Learning.