Advertisement

Wide Coverage Incremental Parsing by Learning Attachment Preferences

  • Fabrizio Costa
  • Vincenzo Lombardo
  • Paolo Frasconi
  • Giovanni Soda
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2175)

Abstract

This paper presents a novel method for wide coverage parsing using an incremental strategy, which is psycholinguistically motivated. A recursive neural network is trained on treebank data to learn first pass attachments, and is employed as a heuristic for guidingpa rsingde cision. The parser is lexically blind and uses beam search to explore the space of plausible partial parses and returns the full analysis havinghi ghest probability. Results are based on preliminary tests on the WSJ section of the Penn treebank and suggest that our incremental strategy is a computationally viable approach to parsing.

Keywords

Parse Tree Sentence Processing Test Sentence Incremental Strategy Connection Path 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]
    M. Bader and I. Lasser. German verb-final clauses and sentence processing. In C. Clifton, L. Frazier, and K. Reyner, editors, Perspectives on Sentence Processing, pages-. Lawrence Erlbaum Associates, 1994.Google Scholar
  2. [2]
    E. Charniak. Statistical parsingw ith a context-free grammar and word statistics. In Proc. of AAAI97, 1997.Google Scholar
  3. [3]
    M. Collins. A new statistical parser based on bigram lexical dependencies. In Proc. of 34th ACL, pages 184–191, 1996.Google Scholar
  4. [4]
    K. M. Eberhard, M. J. Spivey-Knowlton, J.C. Sedivy, and M. K. Tanenhaus. Eye movements as a window into real-time spoken language comprehension in natural contexts. Journal of Psycholinguistic Research, 24:409–436, 1995.CrossRefGoogle Scholar
  5. [5]
    P. Frasconi, M. Gori, and A. Sperduti. A general framework for adaptive processingo f data structures. IEEE Trans. on Neural Networks, 9(5):768–786, 1998.CrossRefGoogle Scholar
  6. [6]
    L. Frazier. Syntactic processing: Evidence from dutch. Natural Language and Linguistic Theory, 5:519–559, 1987.CrossRefGoogle Scholar
  7. [7]
    U. Hermjakob and R. J. Mooney. Learningp arse and translation decisions from examples with rich context. In Proceedings of ACL97, pages 482–489, 1997.Google Scholar
  8. [8]
    Y. Kamide and D. C. Mitchell. Incremental pre-head attachment in japanese parsing. Language and Cognitive Processes, 14(5-6):631–662, 1999.CrossRefGoogle Scholar
  9. [9]
    P.C.R. Lane and J.B. Henderson. Incremental syntactic parsingof natural language corpora with simple synchrony networks. IEEE Transactions on Knowledge and Data Engineering, 13(2):219–231, 2001.CrossRefGoogle Scholar
  10. [10]
    V. Lombardo and P. Sturt. Incrementality and lexicalism: A treebank study. In S. Stevenson and P. Merlo, editors, Lexical Representations in Sentence Processing. John Benjamins, 1999.Google Scholar
  11. [11]
    W. Marslen-Wilson. Linguistic structure and speech shadowing at very short latencies. Nature, 244:522–533, 1973.CrossRefGoogle Scholar
  12. [12]
    D. Milward. Dynamic dependency grammar. Linguistics and Philosophy, 17(6), 1994.Google Scholar
  13. [13]
    D.C. Mitchell, F. Cuetos, M.M.B. Corley, and M. Brysbaert. Exposure-based models of human parsing: evidence for the use of coarse-grained (nonlexical) statistical records. Journal of Psycholinguistics Research, 24, 1995.Google Scholar
  14. [14]
    A. Ratnaparkhi. A linear observed time statistical parser based on maximum entropy models. In Proceedings of EMNLP97, 1997.Google Scholar
  15. [15]
    B. Roark and M. Johnson. Efficient probabilistic top-down and left-corner parsing. In Proc. of ACL99, 1999.Google Scholar
  16. [16]
    E. P. Stabler. The finite connectivity of linguistic structure. In C. Clifton, L. Frazier, and K. Reyner, editors, Perspectives on Sentence Processing, pages 303–336. Lawrence Erlbaum Associates, 1994.Google Scholar
  17. [17]
    M. J. Steedman. Grammar, interpretation and processingfrom the lexicon. In W. M. Marslen-Wilson, editor, Lexical Representation and Process, pages 463–504. MIT Press, 1989.Google Scholar
  18. [18]
    P. Sturt and M. Crocker. Monotonic syntactic processing: a cross-linguistic study of attachment and reanalysis. Language and Cognitive Processes, 11(5):449–494, 1996.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Fabrizio Costa
    • 1
  • Vincenzo Lombardo
    • 2
  • Paolo Frasconi
    • 1
  • Giovanni Soda
    • 1
  1. 1.DSIUniversit’ di FirenzeItaly
  2. 2.DiSTAUniversità del Piemonte OrientaleITALY

Personalised recommendations