Análise e Implementação de Modelos Contextuais para Desambiguação de Entidades Nomeadas em Fluxos de Mensagens
Resumo
Desambiguar entidades em fluxos de mensagens extraídos de mídias sociais é um novo desafio na área de processamento de linguagem natural. O baixo teor informacional e a má formação sintática desse tipo de texto prejudicam a aplicação de abordagens clássicas para resolver este problema. Neste trabalho, é proposta uma modelagem contextual das mensagens de microblogs, de forma a aperfeiçoar os modelos tradicionais de desambiguação, que utilizam apenas texto. Os modelos são baseados no comportamento dos usuários na rede social e no instante em que a mensagem foi postada. Nossos resultados mostram que esses modelos superam abordagens que levam em consideração apenas atributos textuais.Referências
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Nguyen, K., Pham, C., Tran, D. A., and Zhang, F. (2011). Preserving Social Locality in Data Replication for Online Social Networks. In 31st IEEE International Conference on Distributed Computing Systems Workshops (ICDCS 2011 Workshops), 20-24 June 2011, Minneapolis, Minnesota, USA, pages 129–133.
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Wang, C., Chakrabarti, K., Cheng, T., and Chaudhuri, S. (2012). Targeted disambiguation of ad-hoc, homogeneous sets of named entities. In WWW ’12: Proceedings of the 21st international conference on World Wide Web. ACM.
Yosef, M. A., Hoffart, J., Bordino, I., Spaniol, M., and Weikum, G. (2011). AIDA: An Online Tool for Accurate Disambiguation of Named Entities in Text and Tables. PVLDB, 4(12):1450–1453.
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Cucerzan, S. (2007). Large-Scale Named Entity Disambiguation Based on Wikipedia Data. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pages 708–716, Prague, Czech Republic. Association for Computational Linguistics.
Davis, A., Veloso, A., da Silva, A. S., Laender, A. H. F., and Meira Jr, W. (2012). Named Entity Disambiguation in Streaming Data. In The 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, pages 815–824.
Guerra, P. H. C., i c Cerf, L., Porto, T. C., Veloso, A., Meira Jr, W., and Almeida, V. i. l. A. F. (2011a). Exploiting Temporal Locality to Determine User Bias in Microblogging Platforms. JIDM, 2(3):273–288.
Guerra, P. H. C., Veloso, A., Meira Jr., W., and Almeida, V. (2011b). From bias to opinion: a transfer-learning approach to real-time sentiment analysis. In KDD ’11, San Diego, CA. ACM Request Permissions.
Hoffart, J., Yosef, M. A., Bordino, I., Fürstenau, H., Pinkal, M., Spaniol, M., Taneva, B., Thater, S., and Weikum, G. (2011). Robust disambiguation of named entities in text. In EMNLP ’11: Proceedings of the Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics.
Nguyen, K., Pham, C., Tran, D. A., and Zhang, F. (2011). Preserving Social Locality in Data Replication for Online Social Networks. In 31st IEEE International Conference on Distributed Computing Systems Workshops (ICDCS 2011 Workshops), 20-24 June 2011, Minneapolis, Minnesota, USA, pages 129–133.
Sperber, D. and Wilson, D. (1986). Relevance: communication and cognition. Harvard University Press, Cambridge, MA, USA.
Spitzer, F. (2001). Principles of random walk, volume 34. Springer Verlag.
Suchanek, F. M., Kasneci, G., and Weikum, G. (2007). Yago: a core of semantic knowledge. In WWW ’07: Proceedings of the 16th international conference on World Wide Web. ACM.
Veloso, A., Meira Jr., W., and Zaki, M. J. (2006). Lazy Associative Classication. In ICDM ’06: Proceedings of the Sixth International Conference on Data Mining. IEEE Computer Society.
Wang, C., Chakrabarti, K., Cheng, T., and Chaudhuri, S. (2012). Targeted disambiguation of ad-hoc, homogeneous sets of named entities. In WWW ’12: Proceedings of the 21st international conference on World Wide Web. ACM.
Yosef, M. A., Hoffart, J., Bordino, I., Spaniol, M., and Weikum, G. (2011). AIDA: An Online Tool for Accurate Disambiguation of Named Entities in Text and Tables. PVLDB, 4(12):1450–1453.
Yus, F. (2011). Cyberpragmatics Internet-mediated communication in context Pragmatics & Beyond New Series 2011.
Publicado
23/07/2013
Como Citar
DAVIS, Alexandre; PEREIRA, Adriano C. M..
Análise e Implementação de Modelos Contextuais para Desambiguação de Entidades Nomeadas em Fluxos de Mensagens. In: CONCURSO DE TRABALHOS DE INICIAÇÃO CIENTÍFICA DA SBC (CTIC-SBC), 32. , 2013, Maceió.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2013
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p. 122-131.
