Measuring non-compositionality of verb-noun collocations using lexical functions and wordnet hypernyms

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

© Springer International Publishing Switzerland 2015. In such verb-noun combinations as draw a conclusion, lend support, take a step, the verb acquires a meaning different from its typical meaning usually represented by the first sense in WordNet thus making a correct compositional analysis hard or even impossible. Such non-compositional word combinations are called collocations. The semantics and syntactical properties of collocations can be formalized using lexical functions, a concept of the Meaning-Text Theory. In this paper we realized two series of experiments, both with supervised learning methods on automatic detection of lexical functions in verb-noun collocations using WordNet hypernyms. In the first experimental series, we used hypernyms which correspond to the manually annotated WordNet senses of verbs and nouns in the dataset. In the second series, we used hypernyms corresponding to the typical (first) sense of the verbs. Comparing the results of both experiments we found that the performance of supervised learning on some lexical functions was better in the second case in spite of the fact that the first sense was not the sense of the verbs they have in collocations. This shows that for such lexical functions, the semantics of the verbs is closer to their typical senses and thus noncompositionality of such collocations is weaker. We propose to use the difference in lexical function detection based on the actual sense and the first sense as a simple measure of non-compositionality of verb-noun collocations.
Original languageAmerican English
Title of host publicationMeasuring non-compositionality of verb-noun collocations using lexical functions and wordnet hypernyms
Pages3-25
Number of pages0
ISBN (Electronic)9783319271002
DOIs
StatePublished - 1 Jan 2015
EventLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -
Duration: 1 Jan 2018 → …

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9414
ISSN (Print)0302-9743

Conference

ConferenceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Period1/01/18 → …

Fingerprint

WordNet
Collocation
Supervised learning
Supervised Learning
Semantics
Series
Experiments
Experiment
Meaning

Cite this

Kolesnikova, O., & Gelbukh, A. (2015). Measuring non-compositionality of verb-noun collocations using lexical functions and wordnet hypernyms. In Measuring non-compositionality of verb-noun collocations using lexical functions and wordnet hypernyms (pp. 3-25). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9414). https://doi.org/10.1007/978-3-319-27101-9_1
Kolesnikova, Olga ; Gelbukh, Alexander. / Measuring non-compositionality of verb-noun collocations using lexical functions and wordnet hypernyms. Measuring non-compositionality of verb-noun collocations using lexical functions and wordnet hypernyms. 2015. pp. 3-25 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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abstract = "{\circledC} Springer International Publishing Switzerland 2015. In such verb-noun combinations as draw a conclusion, lend support, take a step, the verb acquires a meaning different from its typical meaning usually represented by the first sense in WordNet thus making a correct compositional analysis hard or even impossible. Such non-compositional word combinations are called collocations. The semantics and syntactical properties of collocations can be formalized using lexical functions, a concept of the Meaning-Text Theory. In this paper we realized two series of experiments, both with supervised learning methods on automatic detection of lexical functions in verb-noun collocations using WordNet hypernyms. In the first experimental series, we used hypernyms which correspond to the manually annotated WordNet senses of verbs and nouns in the dataset. In the second series, we used hypernyms corresponding to the typical (first) sense of the verbs. Comparing the results of both experiments we found that the performance of supervised learning on some lexical functions was better in the second case in spite of the fact that the first sense was not the sense of the verbs they have in collocations. This shows that for such lexical functions, the semantics of the verbs is closer to their typical senses and thus noncompositionality of such collocations is weaker. We propose to use the difference in lexical function detection based on the actual sense and the first sense as a simple measure of non-compositionality of verb-noun collocations.",
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Kolesnikova, O & Gelbukh, A 2015, Measuring non-compositionality of verb-noun collocations using lexical functions and wordnet hypernyms. in Measuring non-compositionality of verb-noun collocations using lexical functions and wordnet hypernyms. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9414, pp. 3-25, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1/01/18. https://doi.org/10.1007/978-3-319-27101-9_1

Measuring non-compositionality of verb-noun collocations using lexical functions and wordnet hypernyms. / Kolesnikova, Olga; Gelbukh, Alexander.

Measuring non-compositionality of verb-noun collocations using lexical functions and wordnet hypernyms. 2015. p. 3-25 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9414).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Kolesnikova O, Gelbukh A. Measuring non-compositionality of verb-noun collocations using lexical functions and wordnet hypernyms. In Measuring non-compositionality of verb-noun collocations using lexical functions and wordnet hypernyms. 2015. p. 3-25. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-27101-9_1