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Similarity between the association measures : A case study of noun phrases. / Khokhlova, Maria.

Proceedings of the Tenth Workshop on Recent Advances in Slavonic Natural Languages Processing. ed. / Pavel Rychly; Adam Rambousek; Ales Horak. Vol. 2018-December Tribun EU, 2018. p. 21-27 ( Recent Advances in Slavonic Natural Language Processing).

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

Harvard

Khokhlova, M 2018, Similarity between the association measures: A case study of noun phrases. in P Rychly, A Rambousek & A Horak (eds), Proceedings of the Tenth Workshop on Recent Advances in Slavonic Natural Languages Processing. vol. 2018-December, Recent Advances in Slavonic Natural Language Processing, Tribun EU, pp. 21-27, 12th Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2018, Karlova Studanka, Czech Republic, 7/12/18. <https://nlp.fi.muni.cz/raslan/raslan18.pdf>

APA

Khokhlova, M. (2018). Similarity between the association measures: A case study of noun phrases. In P. Rychly, A. Rambousek, & A. Horak (Eds.), Proceedings of the Tenth Workshop on Recent Advances in Slavonic Natural Languages Processing (Vol. 2018-December, pp. 21-27). ( Recent Advances in Slavonic Natural Language Processing). Tribun EU. https://nlp.fi.muni.cz/raslan/raslan18.pdf

Vancouver

Khokhlova M. Similarity between the association measures: A case study of noun phrases. In Rychly P, Rambousek A, Horak A, editors, Proceedings of the Tenth Workshop on Recent Advances in Slavonic Natural Languages Processing. Vol. 2018-December. Tribun EU. 2018. p. 21-27. ( Recent Advances in Slavonic Natural Language Processing).

Author

Khokhlova, Maria. / Similarity between the association measures : A case study of noun phrases. Proceedings of the Tenth Workshop on Recent Advances in Slavonic Natural Languages Processing. editor / Pavel Rychly ; Adam Rambousek ; Ales Horak. Vol. 2018-December Tribun EU, 2018. pp. 21-27 ( Recent Advances in Slavonic Natural Language Processing).

BibTeX

@inproceedings{94e4d2cbeba04344832923dffe8c7dc4,
title = "Similarity between the association measures: A case study of noun phrases",
abstract = "Collocation extraction has gained much attention in natural language processing, its results are important in various areas of applied linguistics. The research focuses on a comparison between over a dozen of association measures based on a subset of the Russian Web corpus. The paper studies the automatically extracted Adj-Noun collocations. The aim of the experiments is two-fold. First, to examine the difference between statistical measures and second to find the most effective one for the Russian data. The former assumes the calculation of the Spearman{\textquoteright}s rank correlation coefficient and the latter implies the evaluation of the extracted lists against a Russian dictionary, i.e. identifying automatically extracted and manually collected collocations. The results are not such straightforward, one can distinguish between groups of measures that demonstrate a relative interchangeability. Also the produced bigrams can be considered as collocations by experts and thus may enrich dictionaries.",
keywords = "Collocability, Collocations, Corpora, Gold standard, Statistical measures, Statistics",
author = "Maria Khokhlova",
year = "2018",
month = dec,
day = "1",
language = "English",
volume = "2018-December",
series = " Recent Advances in Slavonic Natural Language Processing",
publisher = "Tribun EU",
pages = "21--27",
editor = "Pavel Rychly and Adam Rambousek and Ales Horak",
booktitle = "Proceedings of the Tenth Workshop on Recent Advances in Slavonic Natural Languages Processing",
address = "Czech Republic",
note = "12th Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2018 ; Conference date: 07-12-2018 Through 09-12-2018",

}

RIS

TY - GEN

T1 - Similarity between the association measures

T2 - 12th Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2018

AU - Khokhlova, Maria

PY - 2018/12/1

Y1 - 2018/12/1

N2 - Collocation extraction has gained much attention in natural language processing, its results are important in various areas of applied linguistics. The research focuses on a comparison between over a dozen of association measures based on a subset of the Russian Web corpus. The paper studies the automatically extracted Adj-Noun collocations. The aim of the experiments is two-fold. First, to examine the difference between statistical measures and second to find the most effective one for the Russian data. The former assumes the calculation of the Spearman’s rank correlation coefficient and the latter implies the evaluation of the extracted lists against a Russian dictionary, i.e. identifying automatically extracted and manually collected collocations. The results are not such straightforward, one can distinguish between groups of measures that demonstrate a relative interchangeability. Also the produced bigrams can be considered as collocations by experts and thus may enrich dictionaries.

AB - Collocation extraction has gained much attention in natural language processing, its results are important in various areas of applied linguistics. The research focuses on a comparison between over a dozen of association measures based on a subset of the Russian Web corpus. The paper studies the automatically extracted Adj-Noun collocations. The aim of the experiments is two-fold. First, to examine the difference between statistical measures and second to find the most effective one for the Russian data. The former assumes the calculation of the Spearman’s rank correlation coefficient and the latter implies the evaluation of the extracted lists against a Russian dictionary, i.e. identifying automatically extracted and manually collected collocations. The results are not such straightforward, one can distinguish between groups of measures that demonstrate a relative interchangeability. Also the produced bigrams can be considered as collocations by experts and thus may enrich dictionaries.

KW - Collocability

KW - Collocations

KW - Corpora

KW - Gold standard

KW - Statistical measures

KW - Statistics

UR - http://www.scopus.com/inward/record.url?scp=85062198775&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85062198775

VL - 2018-December

T3 - Recent Advances in Slavonic Natural Language Processing

SP - 21

EP - 27

BT - Proceedings of the Tenth Workshop on Recent Advances in Slavonic Natural Languages Processing

A2 - Rychly, Pavel

A2 - Rambousek, Adam

A2 - Horak, Ales

PB - Tribun EU

Y2 - 7 December 2018 through 9 December 2018

ER -

ID: 36878080