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Update: February 24, 2023 The new version of Termout.org is now online, so this web site is now obsolete and will soon be dismantled. |
Lista de candidatos sometidos a examen:
1) information extraction (*)
(*) Términos presentes en el nuestro glosario de lingüística
1) Candidate: information extraction
Is in goldstandard
1
paper corpusSignosTxtLongLines416 - : Open Information Extraction from real Internet texts in Spanish using constraints over part-of-speech sequences: Problems of the method, their causes, and ways for improvement
2
paper corpusSignosTxtLongLines416 - : We have analyzed in detail the errors typical to the method of Open IE based on heuristic rules over POS-tags. No detailed description or accurate classification of the errors had been reported before, although some types of errors along with some issues were mentioned by Fader et al. (2011), but not distinguished. We have distinguished between errors and their sources. We have classified all information extraction errors into four types based on the component of an extracted fragment where an error occurred: incorrect relation phrase, incorrect arguments, incorrect argument order, and incorrect arguments with correct relation phrase . This classification is complete: it covers all possible errors.
Evaluando al candidato information extraction:
1) errors: 5 (*)
2) incorrect: 4
information extraction
Lengua:
Frec: 42
Docs: 6
Nombre propio: 1 / 42 = 2%
Coocurrencias con glosario: 1
Puntaje: 1.673 = (1 + (1+3.32192809488736) / (1+5.4262647547021)));
Candidato aceptado
Referencias bibliográficas encontradas sobre cada término
(Que existan referencias dedicadas a un término es también indicio de terminologicidad.)| information extraction |
: Akbik, A. & Loser, A. (2012). Kraken: N-ary Extractions in Open Information Extraction. Proceedings of the AKBC-WEKEX 2012, 52-56. : Banko, M., Cafarella, M. J., Soderland, S., Broadhead, M & Etzioni, O. (2007). Open Information Extraction from the Web. Proceedings of the IJCAI 2007, 2670-2676. : Bast, H. & Haussmann. E. (2013). Open Information Extraction via contextual sentence decomposition. Proceedings of the ICSC 2013, 154-159. : Castella Xavier, C., Souza, M. & Strube de Lima, V. (2013). Open Information Extraction based on lexical-syntactic patterns. Proceedings of the Brazilian Conference on Intelligent Systems, 189-194. : Ciaramita, M. & Altun, Y. (2006). Broad-coverage sense disambiguation and information extraction with a supersense sequence tagger. Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (pp. 594-602). Association for Computational Linguistics. : Del Corro, L. & Gemulla, R. (2013). ClausIE: Clause-based Open Information Extraction. Proceedings of the World Wide Web Conference (WWW-2013), 355-366. : Etzioni, O., Banko, M., Soderland, S. & Weld, D. S. (2008). Open Information Extraction from the Web. Commun. ACM, 51(12), 68-74. : Fader, A., Soderland, S. & Etzioni, O. (2011). Identifying relations for Open Information Extraction. Proceedings of the EMNLP 2011, 1535-1545. : Favre, B., Grishman, R., Hillard, D., Hi, H., Hakkani-Tür, D. & Ostendorf, M. (2008). Punctuating speech for information extraction. Spoken Language Technologies. [en línea]. Disponible en: http://www.cs.nyu.edu/hengji/ssie.pdf : Gamallo, P. (2014). An overview of Open Information Extraction. Proceedings of the SLATE’ 14, 13-16. : Gamallo, P., Garcia, M. & Fernández-Lanza, S. (2012). Dependency-based Open Information Extraction. Proceedings of the ROBUS-UNSUP 2012, 10-18. : Kim, J. & Moldovan, D. (1993). Acquisition of semantic patterns for Information Extraction from Corpora. Proceedings of the 9^th IEEE Conference on AI for Applications, 171-176. : Mausam, Schmitz, M., Bart, R., Soderland, S. & Etzioni, O. (2012). Open language learning for Information Extraction. Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL ‘12), 523-534. : Soderland, S. (1999). Learning information extraction rules for semi-structured and free text. Machine Learning, 34(1-3), 233-272 : Wu, F. & Weld, D. S. (2010). Open Information Extraction using Wikipedia. Proceedings of the ACL 2010, 118-127. : Zhila, A. & Gelbukh, A. (2013). Comparison of Open Information Extraction for Spanish and English. Computational Linguistics and Intellectual Technologies 12(1), 794-802. : Zhila, A. & Gelbukh, A. (2014). Open Information Extraction for Spanish language based on syntactic constraints. Proceedings of the ACL SRW 2014, 78-85. : Zhila, A. (2014). Open Information Extraction using constraints over part-of-speech sequences. Unpublished doctoral dissertation, Instituto Politécnico Nacional, Mexico. |