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Dependency Parsing

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Abstract

Parsing dependencies consists of finding links between heads (also called governors) and modifiers (or dependents) – one word being the root of the sentence (Fig. 13.1). In addition, each link can be annotated with a grammatical function.

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References

  • Alshawi, H. (1996). Head automata and bilingual tiling: Translation with minimal representations. In Proceedings of the 34th annual meeting on association for computational linguistics, Santa Cruz (pp. 167–176).

    Google Scholar 

  • Buchholz, S., & Marsi, E. (2006). CoNLL-X shared task on multilingual dependency parsing. In Proceedings of the tenth conference on computational natural language learning (CoNLL-X), New York City (pp. 149–164). Association for Computational Linguistics.

    Google Scholar 

  • Carreras, X. (2007). Experiments with a higher-order projective dependency parser. In Proceedings of the CoNLL shared task session of EMNLP-CoNLL, Prague (pp. 957–961).

    Google Scholar 

  • Constant, P. (1991). Analyse syntaxique par couches. Thèse de doctorat, École Nationale Supérieure des Télécommunications, Paris.

    Google Scholar 

  • Covington, M. A. (1989). GULP 2.0, an extension of Prolog for unification-based grammar. Research report AI-1989-01, Artificial Intelligence Programs, University of Georgia.

    Google Scholar 

  • Covington, M. A. (1990). Parsing discontinuous constituents in dependency grammar. Computational Linguistics, 16(4), 234–236.

    MathSciNet  Google Scholar 

  • Covington, M. A. (1994a). Discontinuous dependency parsing of free and fixed word order: Work in progress. Research report AI-1994-02, Artificial Intelligence Programs, The University of Georgia.

    Google Scholar 

  • Covington, M. A. (2001). A fundamental algorithm for dependency parsing. In Proceedings of the 39th annual ACM Southeast conference, Athens (pp. 95–102). Version with corrections: Retrieved October 25, 2013, from http://www.ai.uga.edu/mc/dgpacmcorr.pdf

  • Einarsson, J. (1976). Talbankens skriftspråkskonkordans. Technical report, Lund University, Institutionen för nordiska språk, Lund.

    Google Scholar 

  • Eisner, J. (1996). Three new probabilistic models for dependency parsing: An exploration. In Proceedings of the 16th international conference on computational linguistics (COLING-96), Copenhagen (pp. 340–345).

    Google Scholar 

  • Eisner, J. (2000). Bilexical grammars and their cubic-time parsing algorithms. In H. C. Bunt & A. Nijholt (Eds.), Advances in probabilistic and other parsing technologies (pp. 29–62). Kluwer Academic Publishers.

    Google Scholar 

  • El Guedj, P.-O. (1996). Analyse syntaxique par charts combinant règles de dépendance et règles syntagmatiques. PhD thesis, Université de Caen.

    Google Scholar 

  • Frühwirth, T. (1998). Theory and practice of constraint handling rules. Journal of Logic Programming, 37(1–3), 95–138.

    Article  MATH  MathSciNet  Google Scholar 

  • Harper, M. H., Hockema, S. A., & White, C. M. (1999). Enhanced constraint dependency grammar parsers. In Proceedings of the IASTED international conference on artificial intelligence and soft computing, Honolulu.

    Google Scholar 

  • Hellwig, P. (1980). PLAIN – a program system for dependency analysis and for simulating natural language inference. In L. Bolc (Ed.), Representation and processing of natural language (pp. 271–376). München: Hanser.

    Google Scholar 

  • Hellwig, P. (1986). Dependency unification grammar (DUG). In Proceedings of the 11th international conference on computational linguistics (COLING 86), Bonn (pp. 195–198).

    Google Scholar 

  • Järvinen, T., & Tapanainen, P. (1997). A dependency parser for English. Technical report TR-1, Department of General Linguistics, University of Helsinki.

    Google Scholar 

  • Johansson, R., & Nugues, P. (2007b). Incremental dependency parsing using online learning. In Proceedings of the CoNLL shared task session of EMNLP-CoNLL, Prague (pp. 1134–1138).

    Google Scholar 

  • Koch, U. (1993). The enhancement of a dependency parser for Latin. Technical report AI-1993-03, Artificial Intelligence Programs, University of Georgia.

    Google Scholar 

  • Kübler, S., McDonald, R., & Nivre, J. (2009). Dependency parsing. San Rafael: Morgan and Claypool Publishers.

    Google Scholar 

  • Kunze, J. (1967). Die Behandlung nicht-projektiver Strukturen bei der syntaktischen Analyse und Synthese des englischen und des deutschen. In MASPEREVOD-67: Internationales Symposium der Mitgliedsländer des RGW, Budapest (pp. 2–15).

    Google Scholar 

  • Lin, D. (1995). A dependency-based method for evaluating broad-coverage parsers. In Proceedings of IJCAI-95, Montreal (pp. 1420–1427).

    Google Scholar 

  • Maruyama, H. (1990). Constraint dependency grammar and its weak generative capacity. Computer Software, 7(3), 50–59. (In Japanese).

    Google Scholar 

  • McDonald, R. (2006). Discriminative training and spanning tree algorithms for dependency parsing. PhD thesis, University of Pennsylvania.

    Google Scholar 

  • Nilsson, J., Hall, J., & Nivre, J. (2005). MAMBA meets TIGER: Reconstructing a Swedish treebank from antiquity. In Proceedings of the NODALIDA special session on treebanks, Joensuu.

    Google Scholar 

  • Nilsson, P., & Nugues, P. (2010). Automatic discovery of feature sets for dependency parsing. In Proceedings of the 23rd international conference on computational linguistics (COLING 2010), Beijing (pp. 824–832). Coling 2010 Organizing Committee.

    Google Scholar 

  • Nivre, J. (2003). An efficient algorithm for projective dependency parsing. In Proceedings of the 8th international workshop on parsing technologies (IWPT 03), Nancy (pp. 149–160).

    Google Scholar 

  • Nivre, J. (2006). Inductive dependency parsing. Dordrecht: Springer.

    Book  MATH  Google Scholar 

  • Nivre, J., Hall, J., Kübler, S., McDonald, R., Nilsson, J., Riedel, S., & Yuret, D. (2007). The CoNLL 2007 shared task on dependency parsing. In Proceedings of the CoNLL shared task session of EMNLP-CoNLL 2007, Prague (pp. 915–932).

    Google Scholar 

  • Nivre, J., Hall, J., Nilsson, J., Eryigit, G., & Marinov, S. (2006). Labeled pseudo-projective dependency parsing with support vector machines. In Proceedings of the tenth conference on computational natural language learning (CoNLL), New York (pp. 221–225).

    Google Scholar 

  • Nivre, J., & Nilsson, J. (2005). Pseudo-projective dependency parsing. In Proceedings of the 43rd annual meeting of the association for computational linguistics (ACL’05), Ann Arbor (pp. 99–106).

    Google Scholar 

  • Sleator, D., & Temperley, D. (1993). Parsing English with a link grammar. In Proceedings of the third international workshop on parsing technologies, Tilburg (pp. 277–291).

    Google Scholar 

  • Tapanainen, P., & Järvinen, T. (1997). A non-projective dependency parser. In Proceedings of the fifth conference on applied natural language processing (ANLP’97), Washington, DC (pp. 64–71).

    Google Scholar 

  • Vergne, J. (1998). Entre arbre de dépendance et ordre linéaire, les deux processus de transformation: Linéarisation, puis reconstruction de l’arbre. Cahiers de grammaire, 23.

    Google Scholar 

  • Zhang, Y., & Nivre, J. (2011). Transition-based dependency parsing with rich non-local features. In Proceedings of the 49th annual meeting of the association for computational linguistics: Human language technologies, Portland (pp. 188–193).

    Google Scholar 

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Nugues, P.M. (2014). Dependency Parsing. In: Language Processing with Perl and Prolog. Cognitive Technologies. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41464-0_13

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  • DOI: https://doi.org/10.1007/978-3-642-41464-0_13

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