Abstract
Term extraction is an essential task in domain knowledge acquisition. We propose two new measures to extract multiword terms from a domain-specific text. The first measure is both linguistic and statistical based. The second measure is graph-based, allowing assessment of the importance of a multiword term of a domain. Existing measures often solve some problems related (but not completely) to term extraction, e.g., noise, silence, low frequency, large-corpora, complexity of the multiword term extraction process. Instead, we focus on managing the entire set of problems, e.g., detecting rare terms and overcoming the low frequency issue. We show that the two proposed measures outperform precision results previously reported for automatic multiword extraction by comparing them with the state-of-the-art reference measures.
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References
Ahmad, K., Gillam, L., Tostevin, L.: University of Surrey Participation in TREC8: Weirdness Indexing for Logical Document Extrapolation, Retrieval (WILDER). In: TREC (1999)
Barrón-Cedeño, A., Sierra, G., Drouin, P., Ananiadou, S.: An improved automatic term recognition method for Spanish. In: Gelbukh, A. (ed.) CICLing 2009. LNCS, vol. 5449, pp. 125–136. Springer, Heidelberg (2009)
Blanco, R., Lioma, C.: Graph-based term weighting for information retrieval. Information Retrieval 15, 54–92 (2012)
Conrado, M.S., Pardo, T.A.S., Rezende, S.O.: Exploration of a Rich Feature Set for Automatic Term Extraction. In: Castro, F., Gelbukh, A., González, M. (eds.) MICAI 2013, Part I. LNCS (LNAI), vol. 8265, pp. 342–354. Springer, Heidelberg (2013)
Dobrov, B., Loukachevitch, N.: Multiple Evidence for Term Extraction in Broad Domains. In: Proceeding of Recent Advances in Natural Language Processing (RANLP), Hissar, Bulgaria, pp. 710–715 (2011)
Frantzi, K., Ananiadou, S., Mima, H.: Automatic recognition of multiword terms: the C-value/NC-value Method. International Journal on Digital Libraries 3, 115–130 (2000)
Gaizauskas, R., Demetriou, G., Humphreys, K.: Term recognition, classification in biological science journal articles. In: Proceeding of the Computional Terminology for Medical, Biological Applications Workshop of the 2nd International Conference on NLP, pp. 37–44 (2000)
Hliaoutakis, A., Zervanou, K., Petrakis, E.G.M.: The AMTEx approach in the medical document indexing, retrieval application. Data & Knowl. Engineering 68, 380–392 (2009)
Ittoo, A., Bouma, G.: Term Extraction from Sparse, Ungrammatical Domain-specific Documents. Expert Systems with Applications 40, 2530–2540 (2013)
Ji, L., Sum, M., Lu, Q., Li, W., Chen, Y.: Chinese Terminology Extraction Using Window-Based Contextual Information. In: Gelbukh, A. (ed.) CICLing 2007. LNCS, vol. 4394, pp. 62–74. Springer, Heidelberg (2007)
Kageura, K., Umino, B.: Methods of automatic term recognition: A review. Terminology 3, 259–289 (1996)
Kozakov, L., Park, Y., Fin, T., Drissi, Y., Doganata, N., Confino, T.: Glossary extraction, knowledge in large organisations via semantic web technologies. In: Proceedings of the 6th International Semantic Web Conference, he 2nd Asian Semantic Web Conference (Semantic Web Challenge Track) (2004)
Lossio-Ventura, J.A., Jonquet, C., Roche, M., Teisseire, M.: Biomedical Terminology Extraction: A new combination of Statistical, Web Mining Approaches. In: Proceedings of Journées Internationales d’Analyse Statistique des Données Textuelles (JADT 2014), Paris, France (2014)
Lossio-Ventura, J.A., Jonquet, C., Roche, M., Teisseire, M.: Combining C-value, Keyword Extraction Methods for Biomedical Terms Extraction. In: Proceedings of the Fifth International Symposium on Languages in Biology, Medicine (LBM 2013), Tokyo, Japan, pp. 45–49 (2013)
Lossio-Ventura, J.A., Hacid, H., Ansiaux, A., Maag, M.L.: Conversations reconstruction in the social web. In: Proceedings of the 21st International Conference Companion on World Wide Web (WWW 2012), pp. 573–574. ACM, Lyon (2012)
Matsuo, Y., Ishizuka, M.: Keyword extraction from a single document using word co-occurrence statistical information. International Journal on Artificial Intelligence Tools 13, 157–169 (2004)
Newman, D., Koilada, N., Lau, J.H., Baldwin, T.: Bayesian Text Segmentation for Index Term Identification, Keyphrase Extraction. In: Proceedings of 24th International Conference on Computational Linguistics, Mumbai, India, pp. 2077–2092 (2012)
Noh, T., Park, S., Yoon, H., Lee, S., Park, S.: An Automatic Translation of Tags for Multimedia Contents Using Folksonomy Networks. In: Proceedings of the 32Nd International ACM SIGIR Conference on Research, Development in Information Retrieval, SIGIR 2009, pp. 492–499. ACM, Boston (2009)
Page, L., Brin, S., Motwani, R., Winograd, T.: The PageRank citation ranking: Bringing order to the web. Stanford InfoLab (1999)
Rose, S., Engel, D., Cramer, N., Cowley, W.: Automatic keyword extraction from individual documents. Text Mining: Theory, Applications, pp. 1–20. John Wiley, Sons, Ltd. (2010)
Rousseau, F., Vazirgiannis, M.: Graph-of-word, TW-IDF: New Approach to Ad Hoc IR. In: Proceedings of the 22nd ACM International Conference on Conference on Information, Knowledge Management, CIKM 2013, pp. 59–68. ACM, San Francisco (2013)
Stoykova, V., Petkova, E.: Automatic extraction of mathematical terms for precalculus. Procedia Technology Journal 1, 464–468 (2012)
Van Eck, N.J., Waltman, L., Noyons, E.C.M., Buter, R.K.: Automatic term identification for bibliometric mapping. Scientometrics 82, 581–596 (2010)
Zhang, X., Song, Y., Fang, A.C.: Term recognition using conditional random fields. In: International Conference on Natural Language Processing, Knowledge Engineering (NLP-KE), pp. 1–6. IEEE (2010)
Zhang, Z., Iria, J., Brewster, C., Ciravegna, F.: A Comparative Evaluation of Term Recognition Algorithms. In: Proceedings of the Sixth International Conference on Language Resources, Evaluation (LREC 2008), Marrakech, Morocco (2008)
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Lossio-Ventura, J.A., Jonquet, C., Roche, M., Teisseire, M. (2014). Yet Another Ranking Function for Automatic Multiword Term Extraction. In: Przepiórkowski, A., Ogrodniczuk, M. (eds) Advances in Natural Language Processing. NLP 2014. Lecture Notes in Computer Science(), vol 8686. Springer, Cham. https://doi.org/10.1007/978-3-319-10888-9_6
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DOI: https://doi.org/10.1007/978-3-319-10888-9_6
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