A unified probabilistic generative framework for extractive spoken document summarization

International Speech Communication Association - 8th Annual Conference of the International Speech Communication Association, Interspeech 2007

Volumn 4, Issue , 2007, Pages 2528-2531

  Chen, Yi Ting ^a,b   Chiu, Hsuan Sheng ^a   Wang, Hsin Min ^b   Chen, Berlin ^a  

^a NATIONAL TAIWAN NORMAL UNIVERSITY   (Taiwan)

^b INSTITUTE OF INFORMATION SCIENCE   (Taiwan)

Author keywords

Hidden markov model; Relevance model; Spoken document summarization; Whole sentence maximum entropy model; Word topical mixture model

Indexed keywords

HIDDEN MARKOV MODELS; LEARNING SYSTEMS; MARKOV PROCESSES; OBJECT RECOGNITION; PROBABILITY; RANDOM PROCESSES; SENSOR NETWORKS; SPEECH;

BROADCAST NEWS; CONCEPT MATCHING; CONFIDENCE SCORES; GENERATIVE MODELS; MAXIMUM ENTROPY MODELS; PRIOR PROBABILITIES; PROSODIC FEATURES; RELEVANCE MODEL; RELEVANCE MODELS; SPOKEN DOCUMENT SUMMARIZATION; SPOKEN DOCUMENTS; STRUCTURAL FEATURES; WHOLE SENTENCE MAXIMUM ENTROPY MODEL; WORD TOPICAL MIXTURE MODEL; WORD TOPICAL MIXTURE MODELS;

SPEECH COMMUNICATION;

EID: 56149127090     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. L.S. Lee and B. Chen, "Spoken Document Understanding and Organization," IEEE Signal Processing Magazine 22(5), 2005.
2. P.B. Baxendale, "Machine-Made Index for Technical Literature-An Experiment," IBM Journal, October 1958.
3. M. Hirohata et al., "Sentence Extraction-Based Presentation Summarization Techniques and Evaluation Metrics", in Proc. ICASSP 2005.
4. Y. Ho, An initial study on automatic summarization of Chinese spoken documents. Master Thesis, National Taiwan University, July 2003.
5. Y. Gong and X. Liu. "Generic text summarization using relevance measure and latent semantic analysis," in Proc. ACMSIGIR 2001.
6. G. Murray et al., "Extractive Summarization of Meeting Recordings", in Proc. Eurospeech 2005.
7. S. Furui et al., "Speech-to-Text and Speech-to-Speech Summarization of Spontaneous Speech", IEEE trans. speech and audio processing 12(4), 2004.
8. S. Maskey and J. Hirschberg, "Comparing Lexical, Acoustic/Prosodic, Structural and Discourse Features for Speech Summarization", in Proc. Eurospeech 2005.
9. X. Zhu and G. Penn, "Evaluation of Sentence Selection for Speech Summarization" in Proc RANLP 2005.
10. Y.T. Chen et al., "Extractive Chinese Spoken Document Summarization Using Probabilistic Ranking Models," in Proc. 1SCSLP 2006.
11. B. Chen et al., "Chinese Spoken Document Summarization Using Probabilistic Latent Topical Information," in Proc. ICASSP 2006.
12. H. S. Chiu and B. Chen, "Word Topical Mixture Models for Dynamic Language Model Adaptation," in Proc. ICASSP 2007.
13. B. Chen and Y.T. Chen, "Word Topical Mixture Models for Extractive Spoken Document Summarization," in Proc. ICME 2007.
14. R. Brandow et al, "Automatic Condensation of Electronic Publications by Sentence Selection," Information Processing & Management, 31(5), 1995.
15. R. Rosenfeld, S. F. Chen, and X. Zhu, "Whole-sentence exponential language models: A vehicle for linguistic-statistical integration," Computer Speech and Language 15(1), 2001.
16. O. Chan and R. Togneri, "Prosodic Features for a Maximum Entropy Language Model", in Proc. ICSLP 2006.
17. Central News Agency (CNA) http://210.69.89.224/search/hypage.cgi?HYPAGE= login.htm
18. C.Y. Lin, "ROUGE: Recall-oriented Understudy for Gisting Evaluation," 2003, http://www.isi.edu/~cyl/ROUGE/.