Rozszerzenie WordNetu o glosy i relacje polisemiczne na potrzeby rozpoznawania siły ewokacji
DOI:
https://doi.org/10.11649/cs.2325Słowa kluczowe:
evocation, WordNet, glosses, polysemy, evocation strength, semantic relationsAbstrakt
Ewokacja – zjawisko skojarzeń zmysłowych wykraczających poza standardowe (leksykalne) relacje semantyczne – jest trudne do rozpoznania dla systemów przetwarzania języka naturalnego. Modele uczenia maszynowego dają prognozy tylko umiarkowanie skorelowane z siłą ewokacji. Uważa się, że zwykłe miary grafowe nie są tak dobre w tym zadaniu, jak metody oparte na reprezentacjach wektorowych. Proponujemy nową metodę wzbogacania struktury WordNet o polisemie ważone i linki połysku i udowadniamy, że algorytm Dijkstry zestawiony z tak rozbudowanymi strukturami działa a także inne, bardziej wyrafinowane środki.
Bibliografia
Agirre, E., Alfonseca, E., Hall, K., Kravalova, J., Pasca, M., & Soroa, A. (2009). A study on similarity and relatedness using distributional and WordNet-based approaches. In Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics on – NAACL ’09, 19. Association for Computational Linguistics. https://doi.org/10.3115/1620754.1620758 DOI: https://doi.org/10.3115/1620754.1620758
Agirre, E., & Edmonds, P. (2007). Word sense disambiguation: Algorithms and applications. Springer. https://doi.org/10.1007/1-4020-4809-2 DOI: https://doi.org/10.1007/978-1-4020-4809-8
Agirre, E., & Lopez de Lacalle, O. (2003). Clustering WordNet word senses. In N. Nicolov, K. Bontcheva, G. Angelova, & R. Mitkov (Eds.), Recent Advances in Natural Language Processing III: Selected papers from RANLP 2003 (pp. 121–130). https://doi.org/10.1075/cilt.260.13agi DOI: https://doi.org/10.1075/cilt.260.13agi
Allen, K. (2014). Linguistic meaning. Routledge.
Baker, M. C. (2003). Lexical categories: Verbs, nouns and adjectives. Cambridge University Press. https://doi.org/10.1017/CBO9780511615047 DOI: https://doi.org/10.1017/CBO9780511615047
Ballatore, A., Bertolotto, M., & Wilson, D. C. (2014). An evaluative baseline for geo-semantic relatedness and similarity. GeoInformatica, 18, 747–767. https://doi.org/10.1007/s10707-013-0197-8 DOI: https://doi.org/10.1007/s10707-013-0197-8
Boyd-Graber, J., Fellbaum, C., Osherson, D., & Schapire, R. (2006). Adding dense, weighted, connections to WordNet. In Proceedings of the Global WordNet Conference. http://umiacs.umd.edu/ jbg/docs/jbg-jeju.pdf
Cattle, A., & Ma, X. (2017). Predicting word association strengths. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (pp. 1283–1288). Association for Computational Linguistics. https://doi.org/10.18653/v1/D17-1132 DOI: https://doi.org/10.18653/v1/D17-1132
Chklovski, T., & Mihalcea, R. (2002). Building a sense tagged corpus with open mind word expert. In Proceedings of the ACL-02 workshop on Word sense disambiguation: Recent successes and future directions (Vol. 8, pp. 116–122). Association for Computational Linguistics. https://doi.org/10.3115/1118675.1118692 DOI: https://doi.org/10.3115/1118675.1118692
Cormen, T. H., Leiserson, C. E., Rivest, R. L., & Stein, C. (2001). Introduction to algorithms. MIT Press.
Cramer, I. (2008). How well do semantic relatedness measures perform? A meta-study. In Proceedings of the 2008 Conference on Semantics in Text Processing (pp. 59–70). Association for Computational Linguistics. https://doi.org/10.3115/1626481.1626487 DOI: https://doi.org/10.3115/1626481.1626487
Cruse, A. (2006). Glossary of semantics and pragmatics. Edinburgh University Press. DOI: https://doi.org/10.1515/9780748626892
Csardi, G., & Nepusz, T. (2006). The igraph software package for complex network research. InterJournal: Complex Systems, Article 1695. http://igraph.org
Edmonds, P. (2004). Lexical disambiguation. In Elsevier encyclopedia of language & linguistics (pp. 43–62). Elsevier.
Faruqui, M., Tsvetkov, Y., Rastogi, P., & Dyer, C. (2016). Problems with evaluation of word embeddings using word similarity tasks. In Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP (pp. 30–35). Association for Computational Linguistics. https://doi.org/10.18653/v1/W16-2506 DOI: https://doi.org/10.18653/v1/W16-2506
Fellbaum, C. (Ed.). (1998). WordNet: An electronic lexical database. MIT Press. https://doi.org/10.7551/mitpress/7287.001.0001 DOI: https://doi.org/10.7551/mitpress/7287.001.0001
Ge, J., & Qiu, Y. (2008). Concept similarity matching based on semantic distance. In 2008 Fourth International Conference on Semantics, Knowledge and Grid (pp. 380–383). IEEE. https://doi.org/10.1109/SKG.2008.24 DOI: https://doi.org/10.1109/SKG.2008.24
Hayashi, Y. (2016). Predicting the evocation relation between lexicalized concepts. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers (pp. 1657–1668). Association for Computational Linguistics.
Jackson, H. (2002). Lexicography: An introduction. Routledge.
Janz, A., & Maziarz, M. (in press). Chaining polysemous senses for evocation recognition. In Proceedings of the 12th International Conference on Computational Collective Intelligence. Springer.
Kacmajor, M., & Kelleher, J. D. (2019). Capturing and measuring thematic relatedness. Language Resources and Evaluation, 54(3), 645–682. https://doi.org/10.1007/s10579-019-09452-w DOI: https://doi.org/10.1007/s10579-019-09452-w
Lyons, J. (1977). Semantics (Vol. 1). Cambridge University Press. https://doi.org/10.1017/CBO9781139165693 DOI: https://doi.org/10.1017/CBO9781139165693
Lyons, J. (1995). Linguistic semantics: An introduction. Cambridge University Press. https://doi.org/10.1017/CBO9780511810213 DOI: https://doi.org/10.1017/CBO9780511810213
Ma, X. (2013). Evocation: Analyzing and propagating a semantic link based on free word association. Language Resources and Evaluation, 47(3), 819–837. https://doi.org/10.1007/s10579-013-9219-2 DOI: https://doi.org/10.1007/s10579-013-9219-2
Miller, G. A., & Fellbaum, C. (2007). WordNet then and now. Language Resources and Evaluation, 41(2), 209–214. https://doi.org/10.1007/s10579-007-9044-6 DOI: https://doi.org/10.1007/s10579-007-9044-6
Nikolova, S. S., Boyd-Graber, J., Fellbaum, C., & Cook, P. (2009). Better vocabularies for assistive communication aids: Connecting terms using semantic networks and untrained annotators. In ACM Conference on Computers and Accessibility. ACM Press. https://doi.org/10.1145/1639642.1639673 DOI: https://doi.org/10.1145/1639642.1639673
Saeed, J. (2003). Semantics (2nd ed.). Blackwell Publishing.
Sag, I. A., Baldwin, T., Bond, F., Copestake, A., & Flickinger, D. (2002). Multiword expressions: A pain in the neck for NLP. In A. Gelbukh (Ed.), Computational Linguistics and Intelligent Text Processing: CICLing 2002 (pp. 1–15). Springer. https://doi.org/10.1007/3-540-45715-1_1 DOI: https://doi.org/10.1007/3-540-45715-1_1
Schmid, H.-J. (2007). Laurie Bauer and Salvador Valera (eds.), Approaches to conversion/zero-derivation. Münster, New York, Munich, and Berlin: Waxmann, 2005. 175 pp., £19.90 (pb.), ISBN 3-8309-1456-3 [Review]. English Language & Linguistics, 11(3), 587–590. https://doi.org/10.1017/S1360674307002407 DOI: https://doi.org/10.1017/S1360674307002407
Schönefeld, D. (2005). Zero-derivation-functional change-metonymy. In L. Bauer & S. Valera (Eds.), Approaches to conversion/zero-derivation (pp. 131–160). Waxmann.
Small, S. L., Cottrell, G. W., & Tanenhaus, M. K. (1988). Preface. In S. L. Small, G. W. Cottrell, & M. K. Tanenhaus (Eds.), Lexical ambiguity resolution: Perspectives from psycholinguistics, neuropsychology, and artificial intelligence. Morgan Kaufmann. https://doi.org/10.1016/B978-0-08-051013-2.50004-5 DOI: https://doi.org/10.1016/B978-0-08-051013-2.50004-5
Suderman, K., & Ide, N. (2006). Layering and merging linguistic annotations. In Proceedings of the 5th Workshop on NLP and XML (NLPXML-2006): Multi-Dimensional Markup in Natural Language Processing (pp. 89–92). https://doi.org/10.3115/1621034.1621052 DOI: https://doi.org/10.3115/1621034.1621052
Svensen, B. (2009). A handbook of lexicography: The theory and practice of dictionary-making. Cambridge University Press.
Vicente, A., & Falkum, I. L. (2017). Polysemy. In Oxford Research Encyclopedia of Linguistics. Oxford University Press. https://doi.org/10.1093/acrefore/9780199384655.013.325 DOI: https://doi.org/10.1093/acrefore/9780199384655.013.325
Yang, Y. (2008). Multiple criteria third-order response surface design and comparison. https://www.researchgate.net/publication/254671895_Multiple_Criteria_Third-Order_Response_Surface_Design_and_Comparison
Zipf, G. K. (1945). The meaning-frequency relationship of words. The Journal of General Psychology, 33(2), 251–256. https://doi.org/10.1080/00221309.1945.10544509 DOI: https://doi.org/10.1080/00221309.1945.10544509
Pobrania
Opublikowane
Numer
Dział
Licencja
Prawa autorskie (c) 2020 Marek Maziarz, Ewa Rudnicka

Praca jest udostępniana na licencji Creative Commons Attribution 3.0 Unported License.



