A Mixed Approach in Recognising Geographical Entities in Texts

Author:

Cristea Dan,Gîfu Daniela,Pistol Ionuţ,Sfirnaciuc Daniel,Niculiţă Mihai

Publisher

Springer International Publishing

Reference23 articles.

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2. Borthwick, A., Sterling, J., Agichtein, E., Grishman, R.: Exploiting diverse knowledge sources via maximum entropy in named entity recognition. In: Proceedings of the 6th Workshop on Very Large Corpora (1998)

3. Collins, M., Singer, Y.: Unsupervised models for named entity classification. In: Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora (EMNLP/VLC), College Park, MD, pp. 100–110. Association for Computational Linguistics (1999)

4. Cristea, D., Gîfu, D., Colhon, M., Diac, P., Bibiri, A.-D., Mărănduc, C., Scutelnicu, A.L.: Quo vadis: a corpus of entities and relations. In: Gala, N., Rapp, R., Enguix, G.B. (eds.) Language Production, Cognition, and the Lexicon. Springer International Publishing, Cham (2015)

5. Cunningham, H., Maynard, D., Bontcheva, K., Tablan, V.: GATE: a framework and graphical development environment for robust NLP tools and applications. In: Proceedings of the 40th Anniversary Meeting of the Association for Computational Linguistics (2002)

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