Abstract
In this paper a method of mapping named entities from NKJP corpus, where their annotation is rather coarse, to Składnica treebank, where their annotation is wordnet-based, is discussed. The method is based on the fact that Składnica is a subcorpus of the one-million-word manually annotated balanced subcorpus of NKJP. The method to find a corresponding node in a parse tree is presented. Next, several heuristics to match the lemma of an NE in Polish Wordnet and to choose the most probable semantic interpretation of ambiguous ones are suggested. The results of the mapping are evaluated.
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References
Agirre, E., Martinez, D.: Learning class-to-class selectional preferences. In: Proceedings of the Conference on Natural Language Learning, Toulouse, France, pp. 15–22 (2001)
Brockmann, C., Lapata, M.: Evaluating and combining approaches to selectional preference acquisition. In: Proceedings of the 10th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2003), Budapest, Hungary, pp. 27–34 (2003)
Ribas, F.: An experiment on learning appropriate selectional restrictions from parsed corpus. In: Proceedings of the 15th International Conference on Computational Linguistics (COLING 1994), Kyoto, Japan, pp. 769–774 (1994)
Lapata, M.: Acquiring lexical generalizations from corpora: a case study for diathesis alternations. In: Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics (ACL 1999), College Park, MA, pp. 397–404 (1999)
McCarthy, D.: Lexical Acquisition at the Syntax-Semantics Interface: Diathesis Alternations, Subcategorization Frames and Selectional Preferences. PhD thesis, University of Sussex (2001)
Hajnicz, E.: Automatyczne tworzenie semantycznego słownika walencyjnego. Problemy Współczesnej Nauki. Teoria i Zastosowania: Inżynieria Lingwistyczna. Academic Publishing House Exit, Warsaw (2011)
Cimiano, P., Völker, J.: Towards large-scale, open-domain and ontology-based named entity classification. In: Proceedings of the Recent Advances in Natural Language Processing (RANLP 2005), Borovets, Bulgaria, INCOMA Ltd., pp. 166–172 (2005)
Fleischman, M., Hovy, E.: Fine grained classification of named entities. In: Proceedings of the 19th International Conference on Computational Linguistics (COLING 2002), Taipei, Taiwan, pp. 1–7 (2002)
Cucchiarelli, A., Velardi, P.: Unsupervised named entity recognition using syntactic and semantic contextual evidence. Computational Linguistics 27(1), 123–131 (2001)
Etzioni, O., Cafarella, M., Downey, D., Popescu, A.M., Shaked, T., Soderland, S., Weld, D.S., Yates, A.: Unsupervised named-entity extraction from the web: An experimental study. Artificial Intelligence 165(1), 91–134 (2005)
Nadeau, D., Sekine, S.: A survey of named entity recognition and classification. Lingvisticae Investigationes 30(1), 3–26 (2007)
Przepiórkowski, A., Górski, R.L., Łaziński, M., Pęzik, P.: Recent developments in the National Corpus of Polish. In: [24]
Głowińska, K., Przepiórkowski, A.: The design of syntactic annotation levels in the National Corpus of Polish. In: [24]
Przepiórkowski, A., Bański, P.: XML text interchange format in the National Corpus of Polish. In: Goźdź-Roszkowski, S. (ed.) Practical Applications in Language Corpora (PALC 2009), Frankfurt am Main, Peter Lang, pp. 55–65 (2009)
Savary, A., Waszczuk, J., Przepiórkowski, A.: Towards the annotation of named entities in the National Corpus of Polish. In: [24]
Woliński, M.: An efficient implementation of a large grammar of Polish. In: Vetulani, Z. (ed.) Proceedings of the 2nd Language & Technology Conference, Poznań, Poland, pp. 343–347 (2005)
Świdziński, M., Woliński, M.: A new formal definition of Polish nominal phrases. In: Marciniak, M., Mykowiecka, A. (eds.) Aspects of Natural Language Processing. LNCS, vol. 5070, pp. 143–162. Springer, Heidelberg (2009)
Świdziński, M., Woliński, M.: Towards a bank of constituent parse trees for polish. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds.) TSD 2010. LNCS, vol. 6231, pp. 197–204. Springer, Heidelberg (2010)
Świdziński, M.: Gramatyka formalna języka polskiego. Rozprawy Uniwersytetu Warszawskiego. Wydawnictwa Uniwersytetu Warszawskiego, Warsaw, Poland (1992)
Piasecki, M., Szpakowicz, S., Broda, B.: A Wordnet from the Ground Up. Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław, Poland (2009)
Derwojedowa, M., Piasecki, M., Szpakowicz, S., Zawisławska, M., Broda, B.: Words, concepts and relations in the construction of Polish WordNet. In: Tanacs, A., Csendes, D., Vincze, V., Fellbaum, C., Vossen, P. (eds.) Proceedings of the Global WordNet Conference, Seged, Hungary, pp. 162–177 (2008)
Agirre, E., Edmonds, P. (eds.): Word Sense Disambiguation. Algorithms and Applications. Text, Speech and Language Technology, vol. 33. Springer, Dordrecht (2006)
Gale, W., Church, K., Yarowsky, D.: Estimating upper and lower bounds on the performance of word-sense disambiguation programs. In: Proceedings of the 30th Annual Meeting of the Association for Computational Linguistics (ACL 1992), Newark, DL, pp. 249–256 (1992)
Proceedings of the 7th International Conference on Language Resources and Evaluation (LREC 2010), Valetta, Malta, ELRA (2010)
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Hajnicz, E. (2013). Mapping Named Entities from NKJP Corpus to Składnica Treebank and Polish Wordnet. In: Kłopotek, M.A., Koronacki, J., Marciniak, M., Mykowiecka, A., Wierzchoń, S.T. (eds) Language Processing and Intelligent Information Systems. IIS 2013. Lecture Notes in Computer Science, vol 7912. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38634-3_11
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DOI: https://doi.org/10.1007/978-3-642-38634-3_11
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