Skip to main content
SpringerLink
Log in
SpringerLink
Log in

Natural Language Processing with DeepPavlov Library and Additional Semantic Features

  • Chapter
  • First Online:
Artificial Intelligence

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11866))

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 44.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 59.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. CoNLL-2003 shared task page. https://www.clips.uantwerpen.be/conll2003/ner/

  2. OntoNotes Release 5.0 page. https://catalog.ldc.upenn.edu/LDC2013T19

  3. Dialog State Tracking Challenge 2 & 3 page. http://camdial.org/~mh521/dstc/

  4. Named_Entities_5 and 3 collection page. http://labinform.ru/pub/named_entities/descr_ne.htm

  5. Persons-1000 collection page. http://ai-center.botik.ru/Airec/index.php/ru/collections/28-persons-1000

  6. 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)

  7. Lample, G., Ballesteros, M., Subramanian, S., Kawakami, K., Dyer, C.: Neural Architectures for Named Entity Recognition. ArXiv preprint arXiv:1603.01360 (2016)

  8. Ioffe, S., Szegedy, C.: Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift. ArXiv preprint, arXiv:1502.03167 (2015)

  9. Deeppavlov library documentation. http://docs.deeppavlov.ai/en/latest/components/ner.html#id20

  10. Chiu, J.P.C., Nichols, E.: Named Entity Recognition with Bidirectional LSTM-CNNs. ArXiv preprint arXiv:1511.08308 (2016)

    Article  Google Scholar 

  11. Bi-LSTM-CNN python implementation on Github. https://github.com/mxhofer/Named-Entity-Recognition-BidirectionalLSTM-CNN-CoNLL

  12. Corpus of news articles of Lenta.RU. https://github.com/yutkin/Lenta.Ru-News-Dataset

  13. Global Vectors for Word Representation page. https://nlp.stanford.edu/projects/glove/

  14. Tesnière L. Elements de syntaxe structurale. Editions Klincksieck (1959)

    Google Scholar 

  15. Chomsky, N.: Syntactic Structures, p. 117. Mouton, The Hague (1957)

    Google Scholar 

  16. Syntactic-semantic analyzer by Institute for Systems Analysis page. http://nlp.isa.ru/index.php/component/portal/?view=projsintsemanalysis

Download references

Author information

Authors and Affiliations

  1. Moscow Institute of Physics and Technology, Moscow, Russia

    Oleg Sattarov

Authors
  1. Oleg Sattarov
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Oleg Sattarov .

Editor information

Editors and Affiliations

  1. Federal Research Center "Computer Science and Control", Moscow, Russia

    Gennady S. Osipov

  2. Federal Research Center "Computer Science and Control", Moscow, Russia

    Aleksandr I. Panov

  3. Federal Research Center "Computer Science and Control", Moscow, Russia

    Konstantin S. Yakovlev

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

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

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-33274-7_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33273-0

  • Online ISBN: 978-3-030-33274-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation