Ingo Feinerer, Kurt Hornik · 2007
An interface to WordNet using the Jawbone Java API to WordNet. WordNet (<<a href="https://wordnet.princeton.edu/" target="_top">https://wordnet.princeton.edu/</a>>) is a large lexical database of English. Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets), each expressing a distinct concept. Synsets are interlinked by means of conceptual-semantic and lexical relations. Please note that WordNet(R) is a registered tradename. Princeton University makes WordNet available to research and commercial users free of charge provided the terms of their license (<<a href="https://wordnet.princeton.edu/license-and-commercial-use" target="_top">https://wordnet.princeton.edu/license-and-commercial-use</a>>) are followed, and proper reference is made to the project using an appropriate citation (<<a href="https://wordnet.princeton.edu/citing-wordnet" target="_top">https://wordnet.princeton.edu/citing-wordnet</a>>). The WordNet database files need to be made available separately, either via package 'wordnetDicts' from <<a href="https://datacube.wu.ac.at" target="_top">https://datacube.wu.ac.at</a>>, installing system packages where available, or direct download from <<a href="https://wordnetcode.princeton.edu/3.0/WNdb-3.0.tar.gz" target="_top">https://wordnetcode.princeton.edu/3.0/WNdb-3.0.tar.gz</a>>.
Cited by 21Open access
Piek Vossen · Revue française de linguistique appliquée · 2002
<titre>Résumé</titre>On se propose de présenter ici brièvement l’architecture de la base de données WordNeet, conçue pour représenter des relations conceptuelles et construite initialement pour l’anglais, ainsi que les prolongements qui en ont été faits sous le nom de EuroWordNet pour sept autres langues européennes.
Cited by 21Open access
Eric Fouh, Christopher L. Poirel · VTechWorks (Virginia Tech) · 2010
This module covers the use of a thesaurus in several information retrieval (IR) techniques: index construction (e.g., tokenization, stemming, and lemmatization), robustness to query typographical errors (e.g., the use of wildcard queries) and query refinement and expansion.
Cited by 0Open access
Christiane Fellbaum · 2010
Cited by 339
George A. Miller · Communications of the ACM · 1995
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. But dictionary entries evolved for the convenience of human readers, not for machines. WordNet 1 provides a more effective combination of traditional lexicographic information and modern computing. WordNet is an online lexical database designed for use under program control. English nouns, verbs, adjectives, and adverbs are organized into sets of synonyms, each representing a lexicalized concept. Semantic relations link the synonym sets [4].
Cited by 13,991Open access
Szilágyi, Zsanett · University of Debrecen Electronic Archive (University of Debrecen) · 2011
In this paper, I describe the origins of the database, presenting how it developed from a tool providing help to dictionary use through constant changes and extensions into a powerful database. Then follows an introduction to the design; the role and structure of synsets, the description of the lexical matrix and its meaning relationships, which are the basis of the organization of information in WordNet and the additional parts like the Grinder, Morphy, ConText, etc. are also described. In the third subsection, some emerging problems in connection to WordNet are highlighted for giving a clear picture before showing the successes of the database in the next chapter. This is the chapter devoted to the fields of application, containing areas that directly and others that indirectly use WordNet as a resource for or a starting point of their research. In the last chapter, a comparison of WordNet to existing printed and on-line dictionaries and thesauri is given, introduced by a brief introduction about how WordNet is different from (and in its own field even more than) dictionaries and thesauri.
Cited by 0
Christiane Fellbaum · Elsevier eBooks · 2024
Cited by 1
Rebecca Green · 2009
WordNet, a lexical database for English, is organized around semantic and lexical relationships between synsets, concepts represented by sets of synonymous word senses. Offering reasonably comprehensive coverage of the nouns, verbs, adjectives, and adverbs of general English, WordNet is a widely used resource for dealing with the ambiguity that arises from homonymy, polysemy, and synonymy. WordNet is used in many information-related tasks and applications (e.g., word sense disambiguation, semantic similarity, lexical chaining, alignment of parallel corpora, text segmentation, sentiment and subjectivity analysis, text classification, information retrieval, text summarization, question answering, information extraction, and machine translation).
Cited by 0
Christiane Fellbaum · The Encyclopedia of Applied Linguistics · 2012
Abstract WordNet (Miller, Beckwith, Fellbaum, Gross, & Miller 1990; Miller & Fellbaum, 1991; Miller, 1995; Fellbaum, 1998), a lexical database for English, can be thought of as a large electronic dictionary. It contains information about some 155,000 nouns, verbs, adjectives, and adverbs, including simplex words like put , phrasal verbs like put up , and idioms like put out the dog. Its digital format frees WordNet from the constraints of traditional paper dictionaries, whose entries have to be arranged according to their spelling (and thus, to some extent, their pronunciation). But since an important function of dictionaries is to inform users about word meanings, entries in WordNet are organized in terms of their semantics. Specifically, words in WordNet that are similar in meaning are interlinked by means of pointers that stand for a semantic relation. Formally, WordNet is a semantic network, an acyclic graph.
Cited by 96
Fouh, Eric, Poirel, Christopher L. · VTechWorks (Virginia Tech) · 2015
This module covers the use of a thesaurus in several information retrieval (IR) techniques: index construction (e.g., tokenization, stemming, and lemmatization), robustness to query typographical errors (e.g., the use of wildcard queries) and query refinement and expansion.
Cited by 0Open access
The MIT Press eBooks · 1998
WordNet is an on-line lexical reference system whose design isinspired by current psycholinguistic theories of human lexical memory;version 1.6 is the most up-to-date version of the system. WordNet, an electronic lexical database, is considered to be the most important resource available to researchers in computational linguistics, text analysis, and many related areas. Its design is inspired by current psycholinguistic and computational theories of human lexical memory. English nouns, verbs, adjectives, and adverbs are organized into synonym sets, each representing one underlying lexicalized concept. Different relations link the synonym sets.The purpose of this volume is twofold. First, it discusses the design of WordNet and the theoretical motivations behind it. Second, it provides a survey of representative applications, including word sense identification, information retrieval, selectional preferences of verbs, and lexical chains. Contributors Reem Al-Halimi, Robert C. Berwick, J. F. M. Burg, Martin Chodorow, Christiane Fellbaum, Joachim Grabowski, Sanda Harabagiu, Marti A. Hearst, Graeme Hirst, Douglas A. Jones, Rick Kazman, Karen T. Kohl, Shari Landes, Claudia Leacock, George A. Miller, Katherine J. Miller, Dan Moldovan, Naoyuki Nomura, Uta Priss, Philip Resnik, David St-Onge, Randee Tengi, Reind P. van de Riet, Ellen Voorhees Bradford Books imprint
Cited by 4,716
Davide Buscaldi, Paolo Rosso · 2008
WordNet has been used extensively as a resource for the Word Sense Disambiguation (WSD) task, both as a sense inventory and a repository of semantic relationships. Recently, we investigated the possibility to use it as a resource for the Geographical Information Retrieval task, more specifically for the toponym disambiguation task, which could be considered a specialization of WSD. We found that it would be very useful to assign to geographical entities in WordNet their coordinates, especially in order to implement geometric shape-based disambiguation methods. This paper presents Geo-WordNet, an automatic annotation of WordNet with geographical coordinates. The annotation has been carried out by extracting geographical synsets from WordNet, together with their holonyms and hypernyms, and comparing them to the entries in the Wikipedia-World geographical database. A weight was calculated for each of the candidate annotations, on the basis of matches found between the database entries and synset gloss, holonyms and hypernyms. The resulting resource may be used in Geographical Information Retrieval related tasks, especially for toponym disambiguation. 1.
Cited by 22
Natalia Loukachevitch, Anastasia Gerasimova · 2019
In this paper we consider the linking procedure of Russian wordnet (RuWordNet) to Wordnet.The specificity of the procedure in our case is based on the fact that a lot of bilingual (Russian and English) lexical data have been gathered in another Russian thesaurus RuThes, which has a different structure than WordNet.Previously, RuThes has been semiautomatically transformed into RuWordNet, having the WordNet-like structure.Now, the RuThes English data are utilized to establish matching from the RuWordNet synsets to the WordNet synsets.
Cited by 2Open access
Valitutti, Alessandro · Institutional Research Information System (Università degli Studi di Trento) · 2004
Cited by 24
Krister Lindén, Lauri Carlson · LexicoNordica · 2010
FinnWordNet is a WordNet for Finnish that conforms to the frameworkgiven in Fellbaum (1998) and Vossen (1998). FinnWord-Net1 is open source and currently contains 117,000 synsets. A classicWordNet consists of synsets, or sets of partial synonyms whoseshared meaning is described and exemplified by a gloss, a commonpart of speech and a hyperonym. Synsets in a WordNet are arrangedin hierarchical partial orderings according to semantic relationslike hyponymy/hyperonymy. Together the gloss, part of speech andhyperonym fix the meaning of a word and constrain the possibletranslations of a word in a given synset. The Finnish group hasopted for translating Princeton WordNet 3.0 synsets wholesale intoFinnish by professional translators, because the translation processcan be controlled with regard to quality, coverage, cost and speed oftranslation. The project was financed by FIN-CLARIN at the Universityof Helsinki. According to our preliminary evaluation, thetranslation process was diligent and the quality is on a par with theoriginal Princeton WordNet.
Cited by 29Open access
Ewa Rudnicka, Francis Bond, Łukasz Grabowski et al. · 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.It takes into account all basic aspects of language such as form, meaning and function and supplements them with (parallel) corpus frequency and translatability.Three types of equivalence are distinguished, namely strong, regular and weak depending on the conformity with the proposed features.The presented solutions are languageneutral and they can be easily applied to language pairs other than Polish and English.Sense-level mapping is a more finegrained mapping than the existing synset mappings and is thus of great potential to human and machine translation.
Cited by 3Open access
Ro Valitutti · 2004
In this paper we present a linguistic resource for the lexical representation of affective knowledge. This resource (named WORDNET-AFFECT) was developed starting from WORDNET, through a selection and tagging of a subset of synsets representing the affective meanings. 1.
Cited by 0
Langone, Helen, Haskell, Benjamin R., Miller, George A. · Defense Technical Information Center (DTIC) · 2004
High-quality lexical resources are needed to both train and evaluate Word Sense Disambiguation (WSD) systems. The problem of ambiguity persists even in limited domains, thus the necessity for wide-coverage inventories of senses (dictionaries) and corpora sense-tagged to them. WordNet has been used extensively for WSD, for both its broad coverage and its large network of semantic relations. In this paper, we present a report on the state of our current endeavor to increase the connectivity of WordNet through sense-tagging the glosses, the result of which will be to create a more integrated lexical resource.
Cited by 0
Språkbanken Text · Språkbanken Text · 2017
En länkning mellan SALDO och Core WordNet
Cited by 0Open access
Kevin Miller · 2009
Microsaccades were once considered an &quot;evolutionary mystery &quot; since some evolutionists believed that they served no useful purpose. In fact one even suggested that perhaps they were &quot;merely a kind of nervous tick. &quot; (Reference (PDF) ) But here we see that they play an important role in vision. And you can add this behavior to the growing list of functions and features that were once considered useless but later have been discovered to have some important purpose. &quot;Vision researchers at the Barrow Neurological Institute say they`ve resolved a 40-year dispute, finding microsaccades are necessary for vision. The controversy focused on whether microsaccades-- rapid, but minute, eye movements occurring when a person`s gaze is fixated-- are responsible for visibility. Institute researchers resolved the debate by establishing microsaccades are indeed responsible for driving 80 percent of our visual experience.
Cited by 0