Results 1 to 10 of about 50 (47)

Lexical Perspective on Wordnet to Wordnet Mapping [PDF]

open access: yesProceedings of the 9th Global Wordnet Conference, 2018
The paper presents a feature-based model of equivalence targeted at (manual) sense linking between Princeton WordNet and plWordNet. The model incorporates insights from lexicographic and translation theories on bilingual equivalence and draws on the results of earlier synsetlevel mapping of nouns between Princeton WordNet and plWordNet.
Rudnicka, Ewa   +4 more
openaire   +3 more sources

WordNet Embeddings [PDF]

open access: yesProceedings of The Third Workshop on Representation Learning for NLP, 2018
Semantic networks and semantic spaces have been two prominent approaches to represent lexical semantics. While a unified account of the lexical meaning relies on one being able to convert between these representations, in both directions, the conversion direction from semantic networks into semantic spaces started to attract more attention recently. In
Chakaveh Saedi   +3 more
openaire   +1 more source

WordNet, EuroWordNet and Global WordNet

open access: yesRevue française de linguistique appliquée, 2002
On se propose de presenter ici brievement l’architecture de la base de donnees WordNeet, concue pour representer des relations conceptuelles et construite initialement pour l’anglais, ainsi que les prolongements qui en ont ete faits sous le nom de EuroWordNet pour sept autres langues europeennes.
openaire   +4 more sources

WordNet [PDF]

open access: yesCommunications of the ACM, 1992
Because meaningful sentences are composed of meaningful words, any system that hopes to process natural languages as people do must have information about words and their meanings. This information is traditionally provided through dictionaries, and machine-readable dictionaries are now widely available.
openaire   +3 more sources

Using WordNet for Building WordNets

open access: yes, 1998
8 pages, postscript file.
Farreres, Xavier   +2 more
openaire   +2 more sources

Automatically constructing Wordnet Synsets [PDF]

open access: yesProceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2014
6 ...
Lam, Khang Nhut   +2 more
openaire   +2 more sources

Medical WordNet [PDF]

open access: yesProceedings of the 20th international conference on Computational Linguistics - COLING '04, 2004
A consumer health information system must be able to comprehend both expert and nonexpert medical vocabulary and to map between the two. We describe an ongoing project to create a new lexical database called Medical WordNet (MWN), consisting of medically relevant terms used by and intelligible to non-expert subjects and supplemented by a corpus of ...
Barry Smith, Christiane Fellbaum
openaire   +1 more source

The Colloquial WordNet: Extending Princeton WordNet with Neologisms

open access: yes, 2017
Princeton WordNet is one of the most important resources for natural language processing, but has not been updated for over ten years and is not suitable for analyzing the fast moving language as used on social media. We propose an extension to WordNet, with new terms that have been found from Twitter and Reddit, and cover language usage that is ...
John P. McCrae, Ian Wood, Amanda Hicks
openaire   +2 more sources

WordNet::Similarity [PDF]

open access: yesDemonstration Papers at HLT-NAACL 2004 on XX - HLT-NAACL '04, 2004
WordNet::Similarity is a freely available software package that makes it possible to measure the semantic similarity and relatedness between a pair of concepts (or synsets). It provides six measures of similarity, and three measures of relatedness, all of which are based on the lexical database WordNet.
Ted Pedersen   +2 more
openaire   +1 more source

Building the Mongolian WordNet

open access: yesProceedings of the 10th Global Wordnet Conference, 2019
This paper presents the Mongolian Wordnet (MOW), and a general methodology of how to construct it from various sources e.g. lexical re- sources and expert translations. As of today, the MOW contains 23,665 synsets, 26,875 words, 2,979 glosses, and 213 examples. The manual evalua- tion of the resource1 estimated its qual- ity at 96.4%.
Batsuren, Khuyagbaatar   +3 more
openaire   +2 more sources

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