A risk minimization framework for extractive speech summarization

Proceedings of the Annual Meeting of the Association for Computational Linguistics

Volumn 2010-July, Issue , 2010, Pages 79-87

  Lin, Shih Hsiang ^a   Chen, Berlin ^a  

^a NATIONAL TAIWAN NORMAL UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

EXTRACTIVE SPEECH SUMMARIZATIONS; EXTRACTIVE SUMMARIZATIONS; INHERENT LIMITATIONS; LOSS FUNCTIONS; MINIMIZATION PROBLEMS; PROBABILISTIC FRAMEWORK; RISK MINIMIZATION; SPEECH SUMMARIZATION; SUMMARIZATION MODELS;

EID: 85118440125     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (30)

1. James O. Berger Statistical decision theory and Bayesian analysis. Springer-Verlap, 1985.
2. Berlin Chen. 2009. Word topic models for spoken document retrieval and transcription. ACM Transactions on Asian Language Information Processing, 8, (1): 2:1 - 2:27.
3. Jaime Carbonell and Jade Goldstein. 1998. The use of mmr, diversity-based reranking for reordering documents and producing summaries. In Proc. of Annual International ACM SIGIR Conference on Research and Development in Information Retrieval: 335 - 336.
4. Yi-Ting Chen, Berlin Chen and Hsin-Min Wang. 2009. A probabilistic generative framework for extractive broadcast news speech summarization. IEEE Transactions on Audio, Speech and Language Processing, 17, (1): 95 - 106.
5. John M. Conroy and Dianne P. O'Leary. 2001. Text summarization via hidden Markov models. In Proc. of Annual International ACM SIGIR Conference on Research and Development in Information Retrieval: 406 - 407.
6. Güneş Erkan and Dragomir R. Radev. 2004. LexRank: graph-based lexical centrality as salience in text summarization. Journal or Artificial Intelligence Research, 22: 457 - 479.
7. Mohamed Abdel Fattah and Fuji Ren. 2009. GA, MR, FFNN, PNN and GMM based models for automatic text summarization. Computer Speech and Language, 23, (1): 126 - 144.
8. Louisa Ferrier A maximum entropy approach to text summarization. School of Artificial Intelligence, University of Edinburgh, 2001.
9. Sadaoki Furui, Tomonori Kikuchi, Yousuke Shinnaka and Chiori Hori. 2004. Speech-to-text and speech-to-speech summarization of spontaneous speech. IEEE Transactions on Speech and Audio Processing, 12, (4): 401 - 408.
10. Michel Galley. 2006. A skip-chain conditional random field for ranking meeting utterances by importance. In Proc. of Conference on Empirical Methods in Natural Language Processing: 364 - 372.
11. Vaibhava Goel and William Byrne. 2000. Minimum Bayes-risk automatic speech recognition. Computer Speech and Language, 14, (2): 115 - 135.
12. Yihong Gong and Xin Liu. 2001. Generic text summarization using relevance measure and latent semantic analysis. In Proc. of Annual International ACM SIGIR Conference on Research and Development in Information Retrieval: 19 - 25.
13. Akira Inoue, Takayoshi Mikami and Yoichi Yamashita. 2004. Improvement of speech summarization using prosodic information, In Proc. of Speech Prosody: 599 - 602.
14. Shankar Kumar and William Byrne. 2004. Minimum Bayes-risk decoding for statistical machine translation. In Proc. of Human Language Technology conference/North American chapter of the Association for Computational Linguistics annual meeting: 169 - 176.
15. Aleksander Kolcz, Vidya Prabakarmurthi and Jugal Kalita. 2001. Summarization as feature selection for text categorization. In Proc. of Conference on Information and Knowledge Management: 365 - 370.
16. Julian Kupiec, Jan Pedersen and Francine Chen. 1999. A trainable document summarizer. In Proc. of Annual International ACM SIGIR Conference on Research and Development in Information Retrieval: 68 - 73.
17. Konstantinos Koumpis and Steve Renals. 2000. Transcription And Summarization Of Voicemail Speech. In Proc. of International Conference on Spoken Language Processing: 688 - 691.
18. Chin-Yew Lin. 2004. ROUGE: a Package for Automatic Evaluation of Summaries. In Proc. of Workshop on Text Summarization Branches Out.
19. Shih-Hsiang Lin, Berlin Chen and Hsin-Min Wang. 2009. A comparative study of probabilistic ranking models for Chinese spoken document summarization. ACM Transactions on Asian Language Information Processing, 8, (1): 3:1 - 3:23.
20. Shih-Hsiang Lin, Yueng-Tien Lo, Yao-Ming Yeh and Berlin Chen. 2009. Hybrids of supervised and unsupervised models for extractive speech summarization. In Proc. of Annual Conference of the International Speech Communication Association: 1507 - 1510.
21. Inderjeet Mani and Mark T. Maybury Advances in automatic text summarization. MIT Press, Cambridge, 1999.
22. Sameer R. Maskey and Julia Hirschberg. 2003. Automatic Summarization of Broadcast News using Structural Features. In Proc. of the European Conf. Speech Communication and Technology: 1173 - 1176.
23. Kathleen McKeown, Julia Hirschberg, Michel Galley and Sameer Maskey. 2005. From text to speech summarization. In Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing: 997 - 1000.
24. Rada Mihalcea and Paul Tarau. 2005. TextRank: bringing order into texts. In Proc. of Conference on Empirical Methods in Natural Language Processing: 404 - 411.
25. Dragomir R. Radev, Hongyan Jing, Małgorzata Stys and Daniel Tam. 2004. Centroid-based summarization of multiple documents. Information Processing and Management, 40: 919 - 938.
26. Dou Shen, Jian-Tao Sun, Hua Li, Qiang Yang and Zheng Chen. 2007. Document summarization using conditional random fields. In Proc. of International Joint Conference on Artificial Intelligence: 2862 - 2867.
27. Hsin-Min Wang, Berlin Chen, Jen-Wei Kuo and Shih-Sian Cheng. 2005. MATBN: A Mandarin Chinese broadcast news corpus. International Journal of Computational Linguistics and Chinese Language Processing, 10, (2): 219 - 236.
28. ChengXiang Zhai and John Lafferty. 2006. A risk minimization framework for information retrieval. Information Processing & Management, 42, (1): 31 - 55.
29. ChengXiang Zhai. Statistical language models for information retrieval. Morgan & Claypool Publishers, 2008.
30. Justin Jian Zhang, Ho Yin Chan and Pascale Fung. 2007. Improving Lecture Speech Summarization Using Rhetorical Information. In Proc. of Workshop of Automatic Speech Recognition Understanding: 195 - 200.