Automatic title generation for Chinese spoken documents using an adaptive k nearest-neighbor approach

EUROSPEECH 2003 - 8th European Conference on Speech Communication and Technology

Volumn , Issue , 2003, Pages 2813-2816

  Chen, Shun Chuan ^a   Lee, Lin Shan ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

Chinese spoken documents; Title generation

Indexed keywords

DATA MINING; EXTRACTION; MOTION COMPENSATION; NEAREST NEIGHBOR SEARCH; SPEECH COMMUNICATION;

AUTOMATIC TITLE GENERATIONS; CHINESE LANGUAGE; K-NEAREST NEIGHBORS; KEY PHRASE EXTRACTIONS; SPOKEN DOCUMENT; TITLE GENERATION; TOPIC CLASSIFICATION; WORD SEGMENTATION;

SPEECH RECOGNITION;

EID: 85009227390     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Rong Jin and Alexander G. Hauptmann, "Title Generation for Spoken Broadcast News using a Training Corpus", ICSLP 2000, Beijing, China, October 16-20, 2000.
2. George Saon and Mukund Padmanabhan, "Data-Driven Approach to Designing Compound Words for Continuous Speech Recognition", IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, VOL. 9, No. 4, MAY 2001.
3. P.K. Wong and C. Chan, "Chinese Word Segmentation based on Maximum Matching and Word Binding Force", Procs. of Computational Linguistics, pp. 200-203, Copenhagen, 1996.
4. Andrew McCallum, http://www2.cs.cmu.edu/~mccallum/
5. Vibhu Mittal, Mark Kantrowitz, Jade Goldstein, and Jaime Carbonell,"Selecting Text Spans for Document Summaries: Heuristics and Matrics", AAAI-99.
6. Jade Goldstein, Mark Kantrowitz, Vibhu Mittal, and Jaime Carbonell, "Summarizing Text Documents: Sentence Selection and Evaluation Metrics", In Proceedings of SIGIR 99, Berkeley,CA, August 1999.