NERosetta for the Named Entity Multi-lingual Space

详细信息    查看全文

• 关键词：Aligned texts ; Named ; Entity Recognition ; Named ; entity scheme ; META ; NET
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9561
• 期：1
• 页码：327-340
• 全文大小：202 KB
• 参考文献：1.Béchet, F., Sagot, B., Stern, R., et al.: Coopération de méthodes statistiques et symboliques pour l’adaptation non-supervisée d’un système d’étiquetage en entités nommées. In: TALN 2011-Traitement Automatique des Langues Naturelles (2011)
  2.Burnard, L., Bauman, S.: TEI P5: Guidelines for Electronic Text Encoding and Interchange (2008)
  3.Chinchor, N.: MUC-6 Named Entity Task Definition (Version 2.1) (1995)
  4.Finkel, J.R., Grenager, T., Manning, C.: Incorporating non-local information into information extraction systems by Gibbs sampling. In: Proceedings of the 43rd Annual Meeting of the ACL, pp. 363–370 (2005)
  5.Grishman, R., Sundheim, B.: Message understanding conference-6: a brief history. COLING, vol. 1, pp. 466–471. Association for Computational Linguistics, Stroudsburg (1996)
  6.Krstev, C., Obradović, I., Utvić, M., Vitas, D.: A system for named entity recognition based on local grammars. J. Logic Comput. (2013). doi:10.​1093/​logcom/​exs079
  7.Kyriacopoulou, T., Martineau, C., Mavropoulos, T.: Les noms propres de personne en français et en grec: reconnaissance, extraction et enrichissement de dictionnaire. In: Proceedings of the 30th Conference on Lexis and Grammar, LGC 2011, Cyprus (2011)
  8.Liu, X., Zhang, S., Wei, F., Zhou, M.: Recognizing named entities in tweets. In: Proceedings of the 49th Annual Meeting of the ACL: Human Language Technologies, vol. 1, pp. 359–367 (2011)
  9.Ljubešić, N., Stupar, M., Jurić, T., Agić, Ž.: Combining available datasets for building named entity recognition models of Croatian and Slovene. In: Slovenščina 2.0: Empirical, Applied and Interdisciplinary Research (2013) (in press)
  10.Maurel, D., Friburger, N., Antoine, J.-Y., Eshkol, I., Nouvel, D., et al.: Cascades de transducteurs autour de la reconnaissance des entités nommes. Traitement Automatique des Langues 52(1), 69–96 (2011)
  11.Nadeau, D., Sekine, S.: A survey of named entity recognition and classification. In: Sekine, S., Ranchhod, E. (eds.) Named Entities: Recognition, Classification and Use, pp. 3–28. John Benjamins Pub. Co., Amsterdam/Philadelphia (2009)CrossRef
  12.Nadeau, D., Turney, P., Matwin, S.: Unsupervised named-entity recognition: generating gazetteers and resolving ambiguity. In: 19th Canadian Conference on Artificial Intelligence, Québec City, Québec, Canada (2006)
  13.Pustejovsky, J., Lee, K., Bunt, H., Romary, L.: ISO-TimeML: an international standard for semantic annotation. In: 7th LREC 2010. ELRA, Valletta (2010)
  14.Rehm, G., Uszkoreit, H. (eds.): META-NET White Paper Series. Springer, Heidelberg (2012)
  15.Rosset, S., Grouin, C., Zweigenbaum, P.: Entités Nommées Structurées: guide d’annotation Quaero. LIMSI-CNRS, Orsay (2011)
  16.Sekine, S., Nobata, C.: Definition, dictionaries and tagger for extended named entity hierarchy. In: LREC, Lisbon, Portugal (2004)
  17.Steinberger, R., Bruno, P.: Cross-lingual named entity recognition. In: Sekine, S., Ranchhod, E. (eds.) Named Entities: Recognition, Classification and Use, pp. 137–164. John Benjamins Pub. Co. (2009)
  18.Tatar, S., Cicekli, I.: Automatic rule learning exploiting morphological features for named entity recognition in Turkish. J. Inf. Sci. 37(2), 137–151 (2011)CrossRef
  
• 作者单位：Cvetana Krstev (16)
  Anđelka Zečević (17)
  Duško Vitas (17)
  Tita Kyriacopoulou (18)
  
  16. Faculty of Philology, University of Belgrade, Studentski trg 3, Belgrade, Serbia
  17. Faculty of Mathematics, University of Belgrade, Studentski trg 16, Belgrade, Serbia
  18. Laboratoire d’informatique Gaspard-Monge, Université Paris-Est, Marne-la-Vallé, France
  
• 丛书名：Human Language Technology. Challenges for Computer Science and Linguistics
• ISBN：978-3-319-43808-5
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9561

文摘

Named Entity Recognition has been a hot topic in Natural Language Processing for more than fifteen years. A number of systems for various languages have been developed using different approaches and based on different named entity schemes and tagging strategies. We present the NERosetta web application that can be used for comparison of these various approaches applied to aligned texts (bitexts). In order to illustrate its functionalities, we have used one literary text, its 7 bitexts involving 5 languages and 5 different NER systems. We present some preliminary results and give guidelines for further development.