Abstract
In this paper some basic methods of NER task managing in DeepPavlov library along with new neural network modifications with additional semantic features are observed. Means of DeepPavlov library were slightly improved and applied to new dataset with unique additional features, which caused feasible improvement of the neural model.
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References
CoNLL-2003 shared task page. https://www.clips.uantwerpen.be/conll2003/ner/
OntoNotes Release 5.0 page. https://catalog.ldc.upenn.edu/LDC2013T19
Dialog State Tracking Challenge 2 & 3 page. http://camdial.org/~mh521/dstc/
Named_Entities_5 and 3 collection page. http://labinform.ru/pub/named_entities/descr_ne.htm
Persons-1000 collection page. http://ai-center.botik.ru/Airec/index.php/ru/collections/28-persons-1000
Anh, L.T., Arkhipov, M.Y., Burtsev, M.S.: Application of a Hybrid Bi-LSTM-CRF model to the task of Russian Named Entity Recognition. ArXiv preprint, arXiv:1709.09686 (2017)
Lample, G., Ballesteros, M., Subramanian, S., Kawakami, K., Dyer, C.: Neural Architectures for Named Entity Recognition. ArXiv preprint arXiv:1603.01360 (2016)
Ioffe, S., Szegedy, C.: Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift. ArXiv preprint, arXiv:1502.03167 (2015)
Deeppavlov library documentation. http://docs.deeppavlov.ai/en/latest/components/ner.html#id20
Chiu, J.P.C., Nichols, E.: Named Entity Recognition with Bidirectional LSTM-CNNs. ArXiv preprint arXiv:1511.08308 (2016)
Bi-LSTM-CNN python implementation on Github. https://github.com/mxhofer/Named-Entity-Recognition-BidirectionalLSTM-CNN-CoNLL
Corpus of news articles of Lenta.RU. https://github.com/yutkin/Lenta.Ru-News-Dataset
Global Vectors for Word Representation page. https://nlp.stanford.edu/projects/glove/
Tesnière L. Elements de syntaxe structurale. Editions Klincksieck (1959)
Chomsky, N.: Syntactic Structures, p. 117. Mouton, The Hague (1957)
Syntactic-semantic analyzer by Institute for Systems Analysis page. http://nlp.isa.ru/index.php/component/portal/?view=projsintsemanalysis
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Sattarov, O. (2019). Natural Language Processing with DeepPavlov Library and Additional Semantic Features. In: Osipov, G., Panov, A., Yakovlev, K. (eds) Artificial Intelligence. Lecture Notes in Computer Science(), vol 11866. Springer, Cham. https://doi.org/10.1007/978-3-030-33274-7_10
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DOI: https://doi.org/10.1007/978-3-030-33274-7_10
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