Cleaning up after a party: Post-processing thesaurus crowdsourced data

Oksana Antropova, Elena Arslanova, Maxim Shaposhnikov, Pavel Braslavski, Mikhail Mukhin

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Original languageEnglish
Title of host publicationArtificial Intelligence and Natural Language - 7th International Conference, AINL 2018, Proceedings
EditorsLidia Pivovarova, Andrey Filchenkov, Jan Zizka, Dmitry Ustalov
PublisherSpringer Verlag
Pages133-138
Number of pages6
ISBN (Print)9783030012038
DOIs
Publication statusPublished - 1 Jan 2018
Event7th International Conference Artificial Intelligence and Natural Language, AINL 2018 - St. Petersburg, Russian Federation
Duration: 17 Oct 201819 Oct 2018

Publication series

NameCommunications in Computer and Information Science
Volume930
ISSN (Print)1865-0929

Conference

Conference7th International Conference Artificial Intelligence and Natural Language, AINL 2018
CountryRussian Federation
CitySt. Petersburg
Period17/10/201819/10/2018

Fingerprint

Thesauri
Thesaurus
Cleaning
Glossaries
Post-processing
Processing
Evaluation
Dictionary

Keywords

  • Crowdsourcing
  • Semantic resources
  • Thesaurus

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

WoS ResearchAreas Categories

  • Computer Science, Artificial Intelligence

Cite this

Antropova, O., Arslanova, E., Shaposhnikov, M., Braslavski, P., & Mukhin, M. (2018). Cleaning up after a party: Post-processing thesaurus crowdsourced data. In L. Pivovarova, A. Filchenkov, J. Zizka, & D. Ustalov (Eds.), Artificial Intelligence and Natural Language - 7th International Conference, AINL 2018, Proceedings (pp. 133-138). (Communications in Computer and Information Science; Vol. 930). Springer Verlag. https://doi.org/10.1007/978-3-030-01204-5_13
Antropova, Oksana ; Arslanova, Elena ; Shaposhnikov, Maxim ; Braslavski, Pavel ; Mukhin, Mikhail. / Cleaning up after a party: Post-processing thesaurus crowdsourced data. Artificial Intelligence and Natural Language - 7th International Conference, AINL 2018, Proceedings. editor / Lidia Pivovarova ; Andrey Filchenkov ; Jan Zizka ; Dmitry Ustalov. Springer Verlag, 2018. pp. 133-138 (Communications in Computer and Information Science).
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Antropova, O, Arslanova, E, Shaposhnikov, M, Braslavski, P & Mukhin, M 2018, Cleaning up after a party: Post-processing thesaurus crowdsourced data. in L Pivovarova, A Filchenkov, J Zizka & D Ustalov (eds), Artificial Intelligence and Natural Language - 7th International Conference, AINL 2018, Proceedings. Communications in Computer and Information Science, vol. 930, Springer Verlag, pp. 133-138, 7th International Conference Artificial Intelligence and Natural Language, AINL 2018, St. Petersburg, Russian Federation, 17/10/2018. https://doi.org/10.1007/978-3-030-01204-5_13

Cleaning up after a party: Post-processing thesaurus crowdsourced data. / Antropova, Oksana; Arslanova, Elena; Shaposhnikov, Maxim; Braslavski, Pavel; Mukhin, Mikhail.

Artificial Intelligence and Natural Language - 7th International Conference, AINL 2018, Proceedings. ed. / Lidia Pivovarova; Andrey Filchenkov; Jan Zizka; Dmitry Ustalov. Springer Verlag, 2018. p. 133-138 (Communications in Computer and Information Science; Vol. 930).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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T1 - Cleaning up after a party: Post-processing thesaurus crowdsourced data

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AU - Mukhin, Mikhail

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KW - Semantic resources

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U2 - 10.1007/978-3-030-01204-5_13

DO - 10.1007/978-3-030-01204-5_13

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SN - 9783030012038

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BT - Artificial Intelligence and Natural Language - 7th International Conference, AINL 2018, Proceedings

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Antropova O, Arslanova E, Shaposhnikov M, Braslavski P, Mukhin M. Cleaning up after a party: Post-processing thesaurus crowdsourced data. In Pivovarova L, Filchenkov A, Zizka J, Ustalov D, editors, Artificial Intelligence and Natural Language - 7th International Conference, AINL 2018, Proceedings. Springer Verlag. 2018. p. 133-138. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-030-01204-5_13