Abstract
Named Entity extraction (NEX) problem consists of automatically constructing a gazette containing instances for each NE of interest. NEX is important for domains which lack a corpus with tagged NEs. In this paper, we propose a new unsupervised (bootstrapping) NEX technique, based on a new variant of the Multiword Expression Distance (MED)[1] and information distance [2]. Efficacy of our method is shown using comparison with BASILISK and PMI in agriculture domain. Our method discovered 8 new diseases which are not found in Wikipedia.
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Bu, F., Zhu, X., Li, M.: Measuring the non-compositionality of multiword expressions. In: Proc. of the 23rd Conf. on Computational Linguistics, COLING (2010)
Bennett, C., Gacs, P., Li, M., Vitanyi, P., Zurek, W.: Information distance. IEEE Transactions on Information Theory 44(4), 1407–1423 (1998)
Thelen, M., Riloff, E.: A bootstrapping method for learning seman-tic lexicons using extraction pattern contexts. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP 2002 (2002)
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Patil, S., Pawar, S., Palshikar, G.K., Bhat, S., Srivastava, R. (2013). Unsupervised Gazette Creation Using Information Distance. In: Métais, E., Meziane, F., Saraee, M., Sugumaran, V., Vadera, S. (eds) Natural Language Processing and Information Systems. NLDB 2013. Lecture Notes in Computer Science, vol 7934. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38824-8_45
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DOI: https://doi.org/10.1007/978-3-642-38824-8_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38823-1
Online ISBN: 978-3-642-38824-8
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