Automatic Acquisition of Wordnet Relations by Distributionally Supported Morphological Patterns Extracted from Polish Corpora

Kurc, Roman; Piasecki, Maciej; Śzpakowicz, Stan

doi:10.1007/978-3-642-15760-8_18

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…In [15] the basic English-Russian wordnet based on the English-Russian lexical resources and morphological analyzer tools was built. Also, in [16] a pattern-based algorithm for extracting lexical-semantic relations in Polish is presented.…”

Section: Related Workmentioning

confidence: 99%

Developing the Persian Wordnet of Verbs Using Supervised Learning

Mousavi

Faili

2021

ACM Trans. Asian Low-Resour. Lang. Inf. Process.

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Nowadays, wordnets are extensively used as a major resource in natural language processing and information retrieval tasks. Therefore, the accuracy of wordnets has a direct influence on the performance of the involved applications. This paper presents a fully-automated method for extending a previously developed Persian wordnet to cover more comprehensive and accurate verbal entries. At first, by using a bilingual dictionary, some Persian verbs are linked to Princeton WordNet synsets. A feature set related to the semantic behavior of compound verbs as the majority of Persian verbs is proposed. This feature set is employed in a supervised classification system to select the proper links for inclusion in the wordnet. We also benefit from a pre-existing Persian wordnet, FarsNet, and a similarity-based method to produce a training set. This is the largest automatically developed Persian wordnet with more than 27,000 words, 28,000 PWN synsets and 67,000 word-sense pairs that substantially outperforms the previous Persian wordnet with about 16,000 words, 22,000 PWN synsets and 38,000 word-sense pairs.

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Section: Related Workmentioning

confidence: 99%

Developing the Persian Wordnet of Verbs Using Supervised Learning

Mousavi

Faili

2021

ACM Trans. Asian Low-Resour. Lang. Inf. Process.

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Automatic Construction of a Dynamic Thesaurus for Proper Names

Kurc

Piasecki

Śzpakowicz

2013

Computational Linguistics

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Paintball – Automated Wordnet Expansion Algorithm based on Distributional Semantics and Information Spreading

Piasecki¹

2019

CMST

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plWordNet has been consequently built on the basis of the corpus-based wordnet development method. As plWordNet construction had started from scratch it was necessary to find a way to reduce the amount of work required, and not to reduce the quality. In the paper we discuss the gained experience in applying different tools based on Distributional Semantics methods to support the work of lexicographers. A special attention is given to the Paintball algorithm for semiautomated wordnet expansion and its application in the WordnetWeaver system.

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Automatic Acquisition of Wordnet Relations by Distributionally Supported Morphological Patterns Extracted from Polish Corpora

Cited by 3 publications

References 6 publications

Developing the Persian Wordnet of Verbs Using Supervised Learning

Developing the Persian Wordnet of Verbs Using Supervised Learning

Automatic Construction of a Dynamic Thesaurus for Proper Names

Paintball – Automated Wordnet Expansion Algorithm based on Distributional Semantics and Information Spreading

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