Abstract
Coreference Resolution is a challenging task, considering the required linguistic knowledge and the sophistication of language processing techniques involved. Several other Natural Language Processing tasks may benefit from it, such as named entities recognition, relation extraction between named entities, summarization, sentiment analysis, among others. We propose a process for nominal coreference resolution in Portuguese, based on syntactic-semantic linguistic rules. Such rule models have been efficiently applied in other languages, such as: English, Spanish and Galician. They are useful when we deal with less resourceful languages, since the lack of sample-rich corpora may prevent accurate learning. We combine different levels of linguistic processing, using semantic relations as support, in order to infer referential relations between mentions. The proposed approach is the first model for Portuguese coreference resolution which uses semantic knowledge.
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Summ-it++ is available for download in http://www.inf.pucrs.br/linatural/wordpress/index.php/recursos-e-ferramentas/summ-it/.
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Corref-PT is available for download in http://www.inf.pucrs.br/linatural/wordpress/index.php/recursos-e-ferramentas/corref-pt/.
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References
Antonitsch, A., Figueira, A., Amaral, D., Fonseca, E., Vieira, R., Collovini, S.: Summ-it++: an enriched version of the summ-it corpus. In: Proceedings of 10th edition of the Language Resources and Evaluation Conference, Portorož, Slovenia (2016)
Fonseca, E., Sesti, V., Collovini, S., Vieira, R., Leal, A.L., Quaresma, P.: Collective elaboration of a coreference annotated corpus for portuguese texts. In: Proceedings of II Workshop on Evaluation of Human Language Technologies for Iberian Languages, vol. 1881, pp. 68–82, Murcia, Spain (2017)
Fonseca, E.B.: Resolução de correferências em língua portuguesa: pessoa, local e organização, Dissertação de Mestrado, Pontifícia Universidade Católica do Rio Grande do Sul (2014)
Fonseca, E.B., Sesti, V., Antonitsch, A., Vanin, A.A., Vieira, R.: Corp - uma abordagem baseada em regras e conhecimento semântico para a resolução de correferências. Linguamatica 9(1), 3–18 (2017)
Garcia, M., Gamallo, P.: An entity-centric coreference resolution system for person entities with rich linguistic information. In: Proceedings of 25th International Conference on Computational Linguistics, pp. 741–752, Dublin, Ireland (2014)
Garcia, M., Gamallo, P.: Multilingual corpora with coreferential annotation of person entities. In: Proceedings of the 9th Edition of the Language Resources and Evaluation Conference, pp. 3229–3233, Reykjavik, Iceland (2014)
Hou, Y., Markert, K., Strube, M.: A rule-based system for unrestricted bridging resolution: recognizing bridging anaphora and finding links to antecedents. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp. 2082–2093, Doha, Qatar (2014)
Lee, H., Chang, A., Peirsman, Y., Chambers, N., Surdeanu, M., Jurafsky, D.: Deterministic coreference resolution based on entity-centric, precision-ranked rules. Comput. Linguistics 39(4), 885–916 (2013)
Pradhan, S., Ramshaw, L., Marcus, M., Palmer, M., Weischedel, R., Xue, N.: Conll-2011 shared task: modeling unrestricted coreference in ontonotes. In: Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task, pp. 1–27, Portland, Oregon (2011)
Rahman, A., Ng, V.: Coreference resolution with world knowledge. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pp. 814–824, Portland, Oregon, USA (2011)
da Silva, J.F.: Resolução de correferência em múltiplos documentos utilizando aprendizado não supervisionado, Dissertação de Mestrado, Universidade de São Paulo (2011)
Soon, W.M., Ng, H.T., Lim, C.Y.: A machine learning approach to coreference resolution of noun phrases. Comput. Linguistics 27(4), 521–544 (2001)
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The authors acknowledge the financial support of CNPq, CAPES and Fapergs.
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Fonseca, E., Vanin, A., Vieira, R. (2018). Nominal Coreference Resolution Using Semantic Knowledge. In: Villavicencio, A., et al. Computational Processing of the Portuguese Language. PROPOR 2018. Lecture Notes in Computer Science(), vol 11122. Springer, Cham. https://doi.org/10.1007/978-3-319-99722-3_4
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DOI: https://doi.org/10.1007/978-3-319-99722-3_4
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