A comparison of rule-based and machine learning methods for identifying non-nominal it

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 1835, Issue , 2000, Pages 233-240

  Evans, Richard ^a  

^a UNIVERSITY OF WOLVERHAMPTON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL LINGUISTICS; LEARNING ALGORITHMS; NATURAL LANGUAGE PROCESSING SYSTEMS;

MACHINE LEARNING METHODS; MACHINE TRANSLATIONS; RULE BASED; RULE-BASED APPROACH; TRAINING DATA;

LEARNING SYSTEMS;

EID: 84943153766     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-45154-4_22     Document Type: Conference Paper

References (17)

1. Burnard, L. (1995) Users Reference Guide British National Corpus Version 1.0, Oxford University Computing Services, UK.
2. Daelemans, W. (1999) TiMBL: Tilburg Memory Based Learner version 2 Reference Guide, ILK Technical Report-ILK 99-01, Tilburg University, The Netherlands
3. Denber, M. (1998) Automatic Resolution of Anaphora in English Eastman Kodak Co., Imaging Science Division
4. Harabagiu, S.M. and Maiorano, S.J. (1999) Knowledge-Lean Coreference Resolution and its Relation to Textual Cohesion and Coherence, in Proceedings of the Workshop The Relation of Discourse /Dialogue Structure and Reference, ACL '99, Maryland, US.
5. Hirschmann, L (1997) MUC-7 Coreference Task Definition at http://www.muc.saic.com/proceedings/cofitask.pdf
6. Hirst, G. (1981) Anaphora in Natural Language Understanding, Springer Verlag, Germany
7. Lappin, S. and Leass, H.J. (1994) An Algorithm for Pronominal Anaphora Resolution, in Computational Linguistics Volume 20, Number 4
8. Litman, D.J. (1996) Cue Phrase Classification Using Machine Learning, in Journal of Artificial Intelligence Research, vol 5, pp.53-94
9. Mikheev, A. (1996) LT CHUNK V 2.1, Language Technology Group, University of Edinburgh, available from http://www.ltg.ed.ac.uk/software/chunk/index.html
10. Mitkov, R., Belguith, L. and Stys, M. (1998) Multilingual Robust Anaphora Resolution, in Proceedings of The Third International Conference on Empirical Methods in Natural Language Processing, Granada, Spain.
11. Paice, C.D. And Husk, G.D. (1987) Towards the automatic recognition of anaphoric features in English text: The impersonal pronoun it, ' in Computer Speech and Language, 2 p.109-132, Academic Press, US.
12. Quinlan, J.R. (1993) C4.5: Programs for Machine Learning, Morgan Kaufmann, US.
13. Quirk, R. et al. (1985) A Comprehensive Grammar of the English Language, Longman, UK.
14. Sampson, G. (1995) English for the Computer: The SUSANNE Corpus and ana-lytic scheme, Oxford Univerity Press, UK.
15. Sinclair, J. et al. (1995) English Grammar, Harper Collins Publishers, UK.
16. Swan, M. (1995) Practical English Usage, Oxford University Press, UK.
17. Tapanainen, P. and Järvinen, T. (1997) A Non-Projective Dependency Parser, in The Proceedings of The 5th Conference of Applied Natural Language Processing, pages 64-71, ACL, US.