Memory-based disfluency chunking

ISCA Tutorial and Research Workshop on Disfluency in Spontaneous Speech, DiSS 2003

Volumn , Issue , 2003, Pages 63-66

  Lendvai, Piroska ^a   van den Bosch, Antal ^a   Krahmer, Emiel ^a  

^a TILBURG UNIVERSITY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC DETECTION; DISFLUENCIES; LOCAL CONTEXTS; LOW-LEVEL FEATURES; MACHINE-LEARNING; MEMORY-BASED LEARNING; SELF-CORRECTION; SPARSE DATA; SYNTACTIC TREES; SYNTACTICALLY ANNOTATED CORPUS;

LEARNING ALGORITHMS;

EID: 84857700429     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. Bear, John, John Dowding & Elizabeth Shriberg. 1992. Integrating multiple knowledge sources for detection and correction of repairs in human computer dialog. Proceedings ACL, pp. 56–63.
2. van den Bosch, Antal & Sabine Buchholz. 2002. Shallow parsing on the basis of words only: A case study. Proceedings ACL, pp. 433–440.
3. Cover, Thomas & Peter Hart. 1967. Nearest neighbor pattern classification, IEEE Transactions on Information Theory, vol. 13, pp. 21–27.
4. Daelemans, Walter, Jakub Zavrel, Ko van der Sloot & Antal van den Bosch. 2002. TiMBL: Tilburg memory based learner, version 4.3, reference guide, Tilburg University, available from http://ilk.uvt.nl.
5. Eisner, Jason. 1996. An empirical comparison of probability models for dependency grammar. Technical report IRCS 96–11, Institute for Research in Cognitive Science, University of Pennsylvania.
6. Eklund, Robert & Elizabeth Shriberg. 1998. Crosslinguistic Disfluency Modelling: A Comparative Analysis of Swedish and American English Human–Human and Human–Machine Dialogues. Proceedings ICSLP, Sydney, vol. 6, pp. 2631–2634.
7. Heeman, Peter & James Allen. 1994. Tagging speech repairs. ARPA Workshop on Human Language Technology, pp. 187–192, Princeton.
8. Hindle, Don. 1983. Deterministic Parsing of Syntactic Nonfluencies. Proceedings ACL, pp. 123-128.
9. Kohavi, Ron & George John. 1997. Wrappers for Feature Subset Selection, Artificial Intelligence, vol. 97(1–2), pp. 273–324.
10. Lendvai, Piroska. 2003. Learning to identify fragmented words in spoken discourse, Proceedings EACL-2003 Student Research Workshop, pp. 25–32.
11. Nakatani, Christine & Julia Hirschberg. 1993. A Speech-First Model for Repair Detection and Correction. Proceedings ACL, pp. 46–53.
12. Oostdijk, Nelleke. 2002. The design of the Spoken Dutch Corpus. In: New Frontiers of Corpus Research, P. Peters, P. Collins & A. Smith (eds.), Rodopi, Amsterdam, pp. 105–112.
13. Oviatt, Sharon. 1995. Predicting spoken disfluencies during human-computer interaction, Computer Speech & Language, vol. 9, pp. 19–36.
14. Provost, Foster, David Jensen & Tim Oates. 1999. Efficient Progressive Sampling, Knowledge Discovery and Data Mining, pp. 23–32.
15. van Rijsbergen, Keith. 1979. Information Retrieval. Buttersworth, London.
16. Shriberg, Elizabeth, Anderas Stolcke & Don Baron. 2001. Can prosody aid the automatic processing of multiparty meetings? Evidence from predicting punctuation, disfluencies and overlapping speech. Proceedings ISCA workshop on Prosody in Speech Recognition and Understanding, pp. 139–146.
17. Spilker, Jörg, Anton Batliner & Elmar Nöth. 2001. How to repair speech repairs in an end-to-end system. Proceedings of Disfluency in Spontaneous Speech, pp. 73–76.
18. Tjong Kim Sang, Erik & Sabine Buchholz. 2000. Introduction to the CoNLL 2000 shared task: Chunking. In: Proceedings of CoNLL-2000 and LLL-2000, pp. 127–132.
19. Wouden, Ton van der, Heleen Hoekstra, Michael Moortgat, Bram Renmans & Ineke Schuurman. Syntactic Analysis in the Spoken Dutch Corpus. In: M. González Rodriguez & C. Paz Suárez Araujo, Proc. Third International Conference on Language Resources and Evaluation, pp. 768–773.