Benchmarks and models for entity-oriented polarity detection

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

Original languageEnglish
Title of host publicationThe 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies : Proceedings of the Conference Volume 3 (Industry Papers)
Number of pages8
PublisherAssociation for Computational Linguistics
Publication date2018
Pages129-136
ISBN (Electronic)978-1-948087-30-8
DOIs
Publication statusPublished - 2018
MoE publication typeA4 Article in conference proceedings
EventConference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - New Orleans, United States
Duration: 1 Jun 20186 Jun 2018
Conference number: 16

Fields of Science

  • 113 Computer and information sciences

Cite this

Pivovarova, L., Klami, A., & Yangarber, R. (2018). Benchmarks and models for entity-oriented polarity detection. In The 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Proceedings of the Conference Volume 3 (Industry Papers) (pp. 129-136). Association for Computational Linguistics. https://doi.org/10.18653/v1/N18-3016
Pivovarova, Lidia ; Klami, Arto ; Yangarber, Roman. / Benchmarks and models for entity-oriented polarity detection. The 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Proceedings of the Conference Volume 3 (Industry Papers). Association for Computational Linguistics, 2018. pp. 129-136
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title = "Benchmarks and models for entity-oriented polarity detection",
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author = "Lidia Pivovarova and Arto Klami and Roman Yangarber",
year = "2018",
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booktitle = "The 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
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Pivovarova, L, Klami, A & Yangarber, R 2018, Benchmarks and models for entity-oriented polarity detection. in The 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Proceedings of the Conference Volume 3 (Industry Papers). Association for Computational Linguistics, pp. 129-136, Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, New Orleans, United States, 01/06/2018. https://doi.org/10.18653/v1/N18-3016

Benchmarks and models for entity-oriented polarity detection. / Pivovarova, Lidia; Klami, Arto; Yangarber, Roman.

The 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Proceedings of the Conference Volume 3 (Industry Papers). Association for Computational Linguistics, 2018. p. 129-136.

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

TY - GEN

T1 - Benchmarks and models for entity-oriented polarity detection

AU - Pivovarova, Lidia

AU - Klami, Arto

AU - Yangarber, Roman

PY - 2018

Y1 - 2018

KW - 113 Computer and information sciences

U2 - 10.18653/v1/N18-3016

DO - 10.18653/v1/N18-3016

M3 - Conference contribution

SP - 129

EP - 136

BT - The 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

PB - Association for Computational Linguistics

ER -

Pivovarova L, Klami A, Yangarber R. Benchmarks and models for entity-oriented polarity detection. In The 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Proceedings of the Conference Volume 3 (Industry Papers). Association for Computational Linguistics. 2018. p. 129-136 https://doi.org/10.18653/v1/N18-3016