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Identification of Multiword Expressions by Combining Multiple Linguistic Information Sources
We propose a framework for using multiple sources of linguistic information in the task of identifying multiword expressions in natural language texts. We define various linguistically motivated classification features and introduce novel ways for computing them. We then manually define interrelatio...
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| Published in: | Computational linguistics - Association for Computational Linguistics 2014-06, Vol.40 (2), p.449-468 |
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| Main Authors: | , |
| Format: | Article |
| Language: | English |
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| cited_by | cdi_FETCH-LOGICAL-c523t-e120809a787e9c8b353f0529c5b9f6d6874b5696855186bd475a0e5e15b444393 |
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| cites | cdi_FETCH-LOGICAL-c523t-e120809a787e9c8b353f0529c5b9f6d6874b5696855186bd475a0e5e15b444393 |
| container_end_page | 468 |
| container_issue | 2 |
| container_start_page | 449 |
| container_title | Computational linguistics - Association for Computational Linguistics |
| container_volume | 40 |
| creator | Tsvetkov, Yulia Wintner, Shuly |
| description | We propose a framework for using multiple sources of linguistic information in the task of identifying multiword expressions in natural language texts. We define various linguistically motivated classification features and introduce novel ways for computing them. We then manually define interrelationships among the features, and express them in a Bayesian network. The result is a powerful classifier that can identify multiword expressions of various types and multiple syntactic constructions in text corpora. Our methodology is unsupervised and language-independent; it requires relatively few language resources and is thus suitable for a large number of languages. We report results on English, French, and Hebrew, and demonstrate a significant improvement in identification accuracy, compared with less sophisticated baselines. |
| doi_str_mv | 10.1162/COLI_a_00177 |
| format | article |
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| fulltext | fulltext |
| identifier | ISSN: 0891-2017 |
| ispartof | Computational linguistics - Association for Computational Linguistics, 2014-06, Vol.40 (2), p.449-468 |
| issn | 0891-2017 1530-9312 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1558998797 |
| source | MIT Press Direct OA Journals; EBSCOhost MLA International Bibliography With Full Text; Association for Computing Machinery:Jisc Collections:ACM OPEN Journals 2023-2025 (reading list); Linguistics and Language Behavior Abstracts (LLBA) |
| subjects | Bayesian analysis Classification Classifiers Computation Computer science Linguistics Networks Tasks Texts |
| title | Identification of Multiword Expressions by Combining Multiple Linguistic Information Sources |
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