Труды КНЦ (Технические науки) 2/2022(13).

Труды Кольского научного центра РАН. Серия: Технические науки. 2022. Т. 13, № 2. С. 31-45. Transactions of the Kola Science Centre of RAS. Series: Engineering Sciences. 2022. Vol. 13, No. 2. P. 31-45. 5. Zhou D., Zhong D., He Y. Biomedical Relation Extraction: From Binary to Complex. Computational andMathematical Methods in Medicine, 2014, vol. 2014, pp. e298473. 6. Magueresse A., Carles V., Heetderks E. Low-resource Languages: A Review of Past Work and Future Challenges, 2020. 7. Fu S., Chen D., He H., Liu S., Moon S., Peterson K. J., Shen F., Wang L., Wang Y., Wen A., Zhao Y., Sohn S., Liu H. Clinical concept extraction: A methodology review. Journal o f Biomedical Informatics, 2020, vol. 109, pp. 103526. 8. Astrakhantsev N. A., Fedorenko D. G., Turdakov D. Yu. Methods for automatic term recognition in domain-specific text collections: A survey. Programming and Computer Software , 2015, vol. 41, no. 6, pp. 336-349. 9. Sun P., Yang X., Zhao X. and Wang Z. An Overview of Named Entity Recognition. 2018 International Conference on Asian Language Processing (IALP), Bandung, Indonesia: IEEE, 2018, pp. 273-278. 10. Chiticariu L., Li Y., Reiss F. R. Rule-Based Information Extraction is Dead! Long Live Rule-Based Information Extraction Systems! Proceedings o f the 2013 Conference on Empirical Methods in Natural Language Processing EMNLP 2013. Seattle, Washington, USA: Association for Computational Linguistics, 2013, pp. 827-832. 11. Ranka S., Cvetana K., Ivan O., Biljana L., Aleksandra T. Rule-based Automatic Multi-word Term Extraction and Lemmatization. Proceedings o f the 10th International Conference on Language Resources and Evaluation, LREC 2016, Portoroz, Slovenia, 23-28 May 2016, 2016, pp. 507-514. 12. Riaz K. Rule-Based Named Entity Recognition in Urdu. Proceedings o f the 2010 Named Entities Workshop. Uppsala, Sweden: Association for Computational Linguistics, 2010, pp. 126-135. 13. Maria Teresa P., Pennacchiotti M., Zanzotto F. M. Terminology Extraction: An Analysis of Linguistic and Statistical Approaches. Knowl Mining, journal Abbreviation: Knowl Mining, 2006, vol. 185, pp. 255-279. 14. Salton G., Yang C. S., Yu C. T. A theory of term importance in automatic text analysis. Journal o f the American Societyfo r Information Science, 1975, vol. 26, no. 1, pp. 33-44. 15. Jones L. P., Gassie Jr. E. W., Radhakrishnan S. INDEX: The statistical basis for an automatic conceptual phrase-indexing system. Journal o f the American Societyfor Information Science, 1990, vol. 41, no. 2, pp. 87-97. 16. Richman A. E., Schone P. Mining Wiki Resources for Multilingual Named Entity Recognition. Proceedings o f ACL-08: HLT ACL-HLT 2008, Columbus, Ohio: Association for Computational Linguistics, 2008, pp. 1-9. 17. Klein E., Alex B., Clifford J. Bootstrapping a historical commodities lexicon with SKOS and DBpedia. Proceedings o f the 8th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH), Gothenburg, Sweden: Association for Computational Linguistics, 2014, pp. 13-21. 18. Lample G., Ballesteros M., Subramanian S., Kawakami K., Dyer C. Neural Architectures for Named Entity Recognition. arXiv:1603.01360 [cs], arXiv, 2016. 19. Li J., Sun A., Han J., Li C. A Survey on Deep Learning for Named Entity Recognition. arXiv:1812.09449 [cs], arXiv, 2020. 20. Shen Y., Yun H., Lipton Z.C., Kronrod Y., Anandkumar A. Deep Active Learning for Named Entity Recognition. arXiv:1707.05928 [cs], arXiv, 2018. 21. Yadav V., Bethard S. A Survey on Recent Advances in Named Entity Recognition from Deep Learning models. arXiv:1910.11470 [cs], arXiv, 2019. 22. Conrado M., Pardo T., Rezende S. A Machine Learning Approach to Automatic Term Extraction using a Rich Feature Set. Proceedings o f the 2013 NAACL HLT Student Research Workshop, Atlanta, Georgia, Association for Computational Linguistics, 2013, pp. 16-23. 23. Foo J. Term extraction using machine learning, 2009. 24. Shi L., Campagne F. Building a protein name dictionary from full text: a machine learning term extraction approach. BMC Bioinformatics, 2005, vol. 6, no. 1, pp. 88. 25. Yuan Y., Gao J., Zhang Y. Supervised learning for robust term extraction. 2017 International Conference on Asian Language Processing (IALP), 2017, pp. 302-305. 26. Kim J.-H., Kang I.-H., Choi K.-S. Unsupervised Named Entity Classification Models and their Ensembles, 2002. © Пимешков В. К., Шишаев М. Г., 2022 44