DocumentCode :
3427299
Title :
Extracting question/answer pairs in multi-party meetings
Author :
Kathol, Andreas ; Tur, Gokhan
Author_Institution :
Speech Technol. & Res. Lab., SRI Int., Menlo Park, CA
fYear :
2008
fDate :
March 31 2008-April 4 2008
Firstpage :
5053
Lastpage :
5056
Abstract :
Understanding multi-party meetings involves tasks such as dialog act segmentation and tagging, action item extraction, and summarization. In this paper we introduce a new task for multi-party meetings: extracting question/answer pairs. This is a practical application for further processing such as summarization. We propose a method based on discriminative classification of individual sentences as questions and answers via lexical, speaker, and dialog act tag information, followed by a contextual optimization via Markov models. Our results indicate that it is possible to outperform a non-trivial baseline using dialog act tag information. More specifically, our method achieves a 13% relative improvement over the baseline for the task of detecting answers in meetings.
Keywords :
Markov processes; pattern classification; speech processing; speech recognition; Markov models; action item extraction; contextual optimization; dialog act segmentation; dialog act tagging; discriminative classification; multiparty meetings; question/answer pairs extraction; sentences classification; summarization; Ambient intelligence; Automatic speech recognition; Context modeling; Data mining; Humans; Image processing; Information retrieval; NIST; Optimization methods; Tagging; multi-party meetings; question/answer pair extraction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
ISSN :
1520-6149
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2008.4518794
Filename :
4518794
Link To Document :
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