Towards finding and fixing fragments: Using ML to identify non-sentential utterances and their antecedents in multi-party dialogue

ACL-05 - 43rd Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference

Volumn , Issue , 2005, Pages 247-254

  Schlangen, David ^a  

^a UNIVERSITY OF POTSDAM   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING APPROACH; LEXICAL FEATURES; MULTI-PARTY DIALOGUES; NOVEL TASK;

COMPUTATIONAL LINGUISTICS;

LEARNING ALGORITHMS;

EID: 33748789561     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. Adam L. Berger, Stephen Della Pietra, and Vincent J. Della Pietra. 1996. A maximum entropy approach to natural language processing. Computational Linguistics, 22(1):39-71.
2. Jean Carletta. 1996. Assessing agreement on classification tasks: the kappa statistic. Computational Linguistics, 22(2):249-254.
3. William Cohen and Yoram Singer. 1999. A simple, fast, and effective rule learner. In Proceedings of the Sixteenth National Conference on Artificial Intelligence (AAAI-99), Orlando,Florida, July. AAAI.
4. Walter Daelemans, Jakub Zavrel, Ko van der Sloot, and Antal van den Bosch. 2003. TiMBL: Tilburg memory based learner, version 5.0, reference guide. ILC Technical Report 03-10, Induction of Linguistic Knowledge; Tilburg University. Available from http://ilk.uvt.nl/downloads/pub/..papers/ilk0310.pdf.
5. Raquel Fernández and Jonathan Ginzburg. 2002. Nonsentential utterances in dialogue: A corpus-based study. In Kristiina Jokinen and Susan McRoy, editors, Proceedings of the Third SIGdial Workshop on Discourse and Dialogue, pages 15-26, Philadelphia, USA, July. ACL Special Interest Group on Dialog.
6. Raquel Fernández, Jonathan Ginzburg, Howard Gregory, and Shalom Lappin. 2004a. Shards: Fragment resolution in dialogue. In H. Bunt and R. Muskens, editors, Computing Meaning, volume 3. Kluwer.
7. Raquel Fernández, Jonathan Ginzburg, and Shalom Lappin. 2004b. Classifying ellipsis in dialogue: A machine learning approach. In Proceedings of COLING 2004, Geneva, Switzerland, August.
8. John S. Garofolo, Christophe D. Laprun, Martial Michel, Vincent M. Stanford, and Elham Tabassi. 2004. The NITS 9Acknowledgements: We would like to acknowledge helpful discussions with Jason Baldridge and Michael Strube during the early stages of the project, and helpful comments from the anonymous reviewers. meeting room pilot corpus. In Proceedings of the International Language Resources Conference (LREC04), Lisbon, Portugal, May.
9. J.J. Godfrey, E. C. Holliman, and J. McDaniel. 1992. SWITCHBOARD: Telephone speech corpus for research and devlopment. In Proceedings of the IEEE Conference on Acoustics, Speech, and Signal Processing, pages 517-520, San Francisco, USA, March.
10. Ron Kohavi and George H. John. 1997. Wrappers for feature selection. Artificial Intelligence Journal, 97(1-2):273-324.
11. Christoph Müller and Michael Strube. 2001. MMAX: A Tool for the Annotation of Multi-modal Corpora. In Proceedings of the 2nd IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems, pages 45-50, Seattle, USA, August.
12. Massimo Poesio, Rahul Mehta, Axel Maroudas, and Janet Hitzeman. 2004. Learning to resolve bridging references. In Proceedings of the 42nd annual meeting of the Association for Computational Linguistics, pages 144-151, Barcelona, Spain, July.
13. David Schlangen and Alex Lascarides. 2002. Resolving fragments using discourse information. In Johan Bos, Mary Ellen Foster, and Colin Matheson, editors, Proceedings of the 6th International Workshop on Formal Semantics and Pragmatics of Dialogue (EDILOG 2002), pages 161-168, Edinburgh, September.
14. David Schlangen and Alex Lascarides. 2003. The interpretation of non-sentential utterances in dialogue. In Alexander Rudnicky, editor, Proceedings of the 4th SIGdial workshop on Discourse and Dialogue, Sapporo, Japan, July.
15. David Schlangen. 2003. A Coherence-Based Approach to the Interpretation of Non-Sentential Utterances in Dialogue. Ph.D. thesis, School of Informatics, University of Edinburgh, Edinburgh, UK.
16. Helmut Schmid. 1994. Probabilistic part-of-speech tagging using decision trees. In Proceedings of the International Conference on New Methods in Language Processing, Manchester, UK.
17. Michael Strube and Christoph Müller. 2003. A machine learning approach to pronoun resolution in spoken dialogue. In Proceedings of the 41st Annual Meeting of the Association for Computational Lingustics, Sapporo, Japan.
18. D. Traum and P. Heeman. 1997. Utterance units in spoken dialogue. In E. Maier, M. Mast, and S. LuperFoy, editors, Dialogue Processing in Spoken Language Systems, Lecture Notes in Artificial Intelligence. Springer-Verlag.
19. David R. Traum. 1994. A Computational Theory of Grounding in Natural Language Conversation. Ph.D. thesis, Computer Science, University of Rochester, Rochester, USA, December.
20. Klaus Zechner and Anton Lavie. 2001. Increasing the coherence of spoken dialogue summaries by cross-speaker information linking. In Proceedings of the NAAACL Workshop on Automatic Summarisation, Pittsburgh, USA, June.