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A Framework for Interpreting Bridging Anaphora

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Agents and Artificial Intelligence (ICAART 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 358))

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Abstract

In this paper we present a novel framework for resolving bridging anaphora. We argue that anaphora, particularly bridging anaphora, is used as a shortcut device similar to the use of compound nouns. Hence, the two natural language usage phenomena would have to be based on the same theoretical framework. We use an existing theory on compound nouns to test its validity for anaphora usages. To do this, we used human annotators to interpret indirect anaphora from naturally occurring discourses. The annotators were asked to classify the relations between anaphor-antecedent pairs into relation types that have been previously used to describe the relations between a modifier and the head noun of a compound noun. We obtained very encouraging results with an average Fleiss’s κ value of 0.66 for inter-annotation agreement. The results were evaluated against other similar natural language interpretation annotation experiments and were found to compare well.

In order to determine the prevalence of the proposed set of anaphora relations we did a detailed analysis of a subset 20 newspaper articles. The results obtained from this also indicated that a majority (98%) of the relations could be described by the relations in the framework. The results from this analysis also showed the distribution of the relation types in the genre of news paper article discourses.

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References

  1. Barker, K., Szpakowicz, S.: Semi-automatic recognition of noun modifier relationships (1998)

    Google Scholar 

  2. Bean, D., Riloff, E.: Corpus-based identification of non-anaphoric noun phrases. In: Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics on Computational Linguistics, pp. 373–380. Association for Computational Linguistics, Morristown (1999)

    Chapter  Google Scholar 

  3. Bunescu, R.: Associative anaphora resolution: A web-based approach. In: Proceedings of the EACL 2003 Workshop on the Computational Treatment of Anaphora, pp. 47–52 (2003)

    Google Scholar 

  4. Butnariu, C., Veale, T.: A concept-centered approach to noun-compound interpretation. In: Proceedings of the 22nd International Conference on Computational Linguistics, COLING 2008, vol. 1, pp. 81–88. Association for Computational Linguistics, Stroudsburg (2008), http://portal.acm.org/citation.cfm?id=1599081.1599092

    Chapter  Google Scholar 

  5. Davies, M.: Corpus of contemporary american english (2010), http://www.americancorpus.org

  6. Downing, P.: On the creation and use of english compound nouns. Language 53(4), 810–842 (1977)

    Article  Google Scholar 

  7. Fellbaum, C.: WordNet: An Electronic Lexical Database. Bradford Books (1998)

    Google Scholar 

  8. Fraurud, K.: Definiteness and the processing of noun phrases in natural discourse. Journal of Semantics 7(4), 395–433 (1990)

    Article  Google Scholar 

  9. Girju, R.: Improving the interpretation of noun phrases with crosslinguistic information. In: Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, pp. 568–575 (2007)

    Google Scholar 

  10. Girju, R., Moldovan, D., Tatu, M., Antohe, D.: On the semantics of noun compounds. Computer Speech and Language 19(4), 479–496 (2005)

    Article  Google Scholar 

  11. Hendrickx, I., Kim, S.N., Kozareva, Z., Nakov, P., Séaghdha, D.O., Padó, S., Pennacchiotti, M., Romano, L., Szpakowicz, S.: Semeval-2010 task 8: Multi-way classification of semantic relations between pairs of nominals. In: Proceedings of the 5th International Workshop on Semantic Evaluation, SemEval 2010, pp. 33–38. Association for Computational Linguistics, Stroudsburg (2010), http://portal.acm.org/citation.cfm?id=1859664.1859670

    Google Scholar 

  12. Hobbs, J.R.: Coherence and coreference. Cognitive Science 67, 67–90 (1979)

    Article  Google Scholar 

  13. Kim, S.N., Nakov, P.: Large-scale noun compound interpretation using bootstrapping and the web as a corpus. In: The Proceeding of Conference on Empirical Methods in Natural Language Processing, EMNLP, Edinburgh, UK (2011)

    Google Scholar 

  14. Kim, S.-N., Baldwin, T.: Automatic Interpretation of Noun Compounds Using WordNet Similarity. In: Dale, R., Wong, K.-F., Su, J., Kwong, O.Y. (eds.) IJCNLP 2005. LNCS (LNAI), vol. 3651, pp. 945–956. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  15. Kim, S.N., Baldwin, T.: Interpreting semantic relations in noun compounds via verb semantics. In: Proceedings of the COLING/ACL on Main Conference Poster Sessions, COLING-ACL 2006, pp. 491–498. Association for Computational Linguistics, Stroudsburg (2006), http://portal.acm.org/citation.cfm?id=1273073.1273137

    Chapter  Google Scholar 

  16. Lauer, M.: Corpus statistics meet the noun compound: some empirical results. In: Proceedings of the 33rd Annual Meeting on Association for Computational Linguistics, ACL 1995, pp. 47–54. Association for Computational Linguistics, Stroudsburg (1995), http://dx.doi.org/10.3115/981658.981665

    Chapter  Google Scholar 

  17. Levi, J.: Where do all those other adjectives come from. Chicago Linguistic Society 9, 332–354 (1973)

    Google Scholar 

  18. Levi, J.N.: The syntax and semantics of complex nominals. Academic Press, New York (1978)

    Google Scholar 

  19. Li, C.N.: Semantics and the Structure of Compounds in Chinese. Ph.D. thesis, University of Carlifornia dissertation (1971)

    Google Scholar 

  20. Nakov, P.: Noun compound interpretation using paraphrasing verbs: Feasibility study (2008), http://www.cs.berkeley.edu/~nakov/selected_papers_list/aimsa2008.pdf

  21. Nastase, V., Sayyad-Shiarabad, J., Sokolova, M., Szpakowicz, S.: Learning noun-modifier semantic relations with corpus-based and wordnet-based features. In: Proceedings of the National Conference on Aritficial Intelligence, vol. 21(Part 1), pp. 781–787 (2006)

    Google Scholar 

  22. Nastase, V., Szpakowicz, S.: Exploring noun-modifier semantic relations. In: Proceedings of the 5th International Workshop on Computational Semantics (2003)

    Google Scholar 

  23. Ó Séaghdha, D.: Annotating and learning compound noun semantics. In: Proceedings of the 45th Annual Meeting of the ACL: Student Research Workshop, ACL 2007, pp. 73–78. Association for Computational Linguistics, Stroudsburg (2007), http://portal.acm.org/citation.cfm?id=1557835.1557852

    Chapter  Google Scholar 

  24. Poesio, M., Vieira, R., Teufel, S.: Resolving bridging references in unrestricted text. In: Proceedings of a Workshop on Operational Factors in Practical, Robust Anaphora Resolution for Unrestricted Texts, ANARESOLUTION 1997, pp. 1–6. Association for Computational Linguistics, Morristown (1997), http://portal.acm.org/linebreakcitation.cfm?id=1598819.1598820

    Chapter  Google Scholar 

  25. Sanders, T.: Toward a taxonomy of coherence relations. Discourse Processes 15(1), 1–35 (1992)

    Article  Google Scholar 

  26. Tratz, S., Hovy, E.: A taxonomy, dataset, and classifier for automatic noun compound interpretation. In: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, ACL 2010, pp. 678–687. Association for Computational Linguistics, Stroudsburg (2010), http://portal.acm.org/citation.cfm?id=1858681.1858751

    Google Scholar 

  27. Vieira, R., Poesio, M.: An empirically based system for processing definite descriptions. Computational Linguistics 26(4), 539–593 (2000), http://www.mitpressjournals.org/doi/abs/10.1162/089120100750105948

    Article  Google Scholar 

  28. Warren, B.: Semantic patterns of noun-noun compounds. Gothenburg studies in English. Acta Universitatis thoburgensis (1978)

    Google Scholar 

  29. Zimmer, K.E.: Some general observations about nominal compounds. Working Papers on Language Universals, pp. C1–C21 (1971)

    Google Scholar 

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Nand, P., Yeap, W. (2013). A Framework for Interpreting Bridging Anaphora. In: Filipe, J., Fred, A. (eds) Agents and Artificial Intelligence. ICAART 2012. Communications in Computer and Information Science, vol 358. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36907-0_9

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  • DOI: https://doi.org/10.1007/978-3-642-36907-0_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36906-3

  • Online ISBN: 978-3-642-36907-0

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