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WordNet

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1351:, is the first module of the WonderWeb Foundational Ontologies Library (WFOL). This upper-ontology has been developed in light of rigorous ontological principles inspired by the philosophical tradition, with a clear orientation toward language and cognition. OntoWordNet is the result of an experimental alignment of WordNet's upper level with DOLCE. It is suggested that such alignment could lead to an "ontologically sweetened" WordNet, meant to be conceptually more rigorous, cognitively transparent, and efficiently exploitable in several applications. 927:(WSD), a task aimed at assigning the context-appropriate meanings (i.e. synset members) to words in a text. However, it has been argued that WordNet encodes sense distinctions that are too fine-grained. This issue prevents WSD systems from achieving a level of performance comparable to that of humans, who do not always agree when confronted with the task of selecting a sense from a dictionary that matches a word in a context. The granularity issue has been tackled by proposing 3090: 316: 38: 1086:
The Global WordNet Association (GWA) is a public and non-commercial organization that provides a platform for discussing, sharing and connecting wordnets for all languages in the world. The GWA also promotes the standardization of wordnets across languages, to ensure its uniformity in enumerating the
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Some wordnets were subsequently created for other languages. A 2012 survey lists the wordnets and their availability. In an effort to propagate the usage of WordNets, the Global WordNet community had been slowly re-licensing their WordNets to an open domain where researchers and developers can easily
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The BalkaNet project has produced WordNets for six European languages (Bulgarian, Czech, Greek, Romanian, Turkish and Serbian). For this project, a freely available XML-based WordNet editor was developed. This editor – VisDic – is not in active development anymore, but is still used for the creation
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The initial goal of the WordNet project was to build a lexical database that would be consistent with theories of human semantic memory developed in the late 1960s. Psychological experiments indicated that speakers organized their knowledge of concepts in an economic, hierarchical fashion. Retrieval
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Adjectives are not organized into hierarchical trees. Instead, two "central" antonyms such as "hot" and "cold" form binary poles, while 'satellite' synonyms such as "steaming" and "chilly" connect to their respective poles via a "similarity" relations. The adjectives can be visualized in this way as
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sense. However, such an ontology should be corrected before being used, because it contains hundreds of basic semantic inconsistencies; for example there are, (i) common specializations for exclusive categories and (ii) redundancies in the specialization hierarchy. Furthermore, transforming WordNet
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selectively affects speakers' ability to produce words from a specific semantic category, a WordNet hierarchy. Antonymous adjectives (WordNet's central adjectives in the dumbbell structure) are found to co-occur far more frequently than chance, a fact that has been found to hold for many languages.
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These semantic relations hold among all members of the linked synsets. Individual synset members (words) can also be connected with lexical relations. For example, (one sense of) the noun "director" is linked to (one sense of) the verb "direct" from which it is derived via a "morphosemantic" link.
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relations, and (ii) associating intuitive unique identifiers to each category. Although such corrections and transformations have been performed and documented as part of the integration of WordNet 1.7 into the cooperatively updatable knowledge base of WebKB-2, most projects claiming to
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In most works that claim to have integrated WordNet into ontologies, the content of WordNet has not simply been corrected when it seemed necessary; instead, it has been heavily reinterpreted and updated whenever suitable. This was the case when, for example, the top-level ontology of WordNet was
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between words. Various algorithms have been proposed, including measuring the distance among words and synsets in WordNet's graph structure, such as by counting the number of edges among synsets. The intuition is that the closer two words or synsets are, the closer their meaning. A number of
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Many of the concepts in WordNet are specific to certain languages and the most accurate reported mapping between languages is 94%. Synonyms, hyponyms, meronyms, and antonyms occur in all languages with a WordNet so far, but other semantic relationships are language-specific. This limits the
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WordNet is sometimes called an ontology, a persistent claim that its creators do not make. The hypernym/hyponym relationships among the noun synsets can be interpreted as specialization relations among conceptual categories. In other words, WordNet can be interpreted and used as a lexical
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WordNet has also been converted to a formal specification, by means of a hybrid bottom-up top-down methodology to automatically extract association relations from it and interpret these associations in terms of a set of conceptual relations, formally defined in the
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project has produced WordNets for several European languages and linked them together; these are not freely available however. The Global Wordnet project attempts to coordinate the production and linking of "wordnets" for all languages.
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which aims to improve WordNet by semantically parsing the glosses, thus making the information contained in these definitions available for automatic knowledge processing systems. It is freely available under a license similar to
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of various WordNets. Its successor, DEBVisDic, is client-server application and is currently used for the editing of several WordNets (Dutch in Cornetto project, Polish, Hungarian, several African languages, Chinese).
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is an image database organized according to the WordNet hierarchy (currently only the nouns), in which each node of the hierarchy is depicted by millions of images. Currently, it has over 500 images per node on
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time required to access conceptual knowledge seemed to be directly related to the number of hierarchies the speaker needed to "traverse" to access the knowledge. Thus, speakers could more quickly verify that
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in order to define a common standardized framework for the construction of lexicons, including WordNet. The subset of LMF for Wordnet is called Wordnet-LMF. An instantiation has been made within the KYOTO
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interoperability across languages. However, it also makes WordNet a resource for highlighting and studying the differences between languages, so it is not necessarily a limitation for all use cases.
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SentiWordNet, a resource for supporting opinion mining applications obtained by tagging all the WordNet 3.0 synsets according to their estimated degrees of positivity, negativity, and neutrality.
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or the pronunciation of words and it contains only limited information about usage. WordNet aims to cover most everyday words and does not include much domain-specific terminology.
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Lahsen Abouenour, Karim Bouzoubaa, Paolo Rosso (2013) On the evaluation and improvement of Arabic WordNet coverage and usability, Language Resources and Evaluation 47(3) pp 891–917
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between all of the WordNet synsets and all of SUMO (including its domain ontologies, when WordNet contains a word sense for a given SUMO term) which is browsable at, for example
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good, right, ripe – (most suitable or right for a particular purpose; "a good time to plant tomatoes"; "the right time to act"; "the time is ripe for great sociological changes")
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Projects such as BalkaNet and EuroWordNet made it feasible to create standalone wordnets linked to the original one. Two such projects were the Russian WordNet, patronized by
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Proc. of the 44th Annual Meeting of the Association for Computational Linguistics joint with the 21st International Conference on Computational Linguistics (COLING-ACL 2006)
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The Global WordNet Association is a non-commercial organization that provides a platform for discussing, sharing and connecting WordNets for all languages in the world.
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Multilingual Central Repository (MCR) integrates in the same EuroWordNet framework wordnets from Spanish, Catalan, Basque, Galician and Portuguese liked to English.
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experiments and the underlying theories have been subject to criticism, some of WordNet's organization is consistent with experimental evidence. For example,
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wordnets in a variety of languages, all linked to the Princeton Wordnet of English (PWN). The goal is to make it easy to use wordnets in multiple languages.
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Black W., Elkateb S., Rodriguez H., Alkhalifa M., Vossen P., Pease A., Bertran M., Fellbaum C., (2006) The Arabic WordNet Project, Proceedings of LREC 2006
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are more suited to concrete concepts than to abstract concepts. For example, it is easy to create hyponyms/hypernym relationships to capture that a "
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Rudnicka, Ewa; Bond, Francis; Grabowski, Łukasz; Piasecki, Maciej; Piotrowski, Tadeusz (2018). "Lexical Perspective on Wordnet to Wordnet Mapping".
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UWN is an automatically constructed multilingual lexical knowledge base extending WordNet to cover over a million words in many different languages.
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In Proc. of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)
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into a lexical ontology usable for knowledge representation should normally also involve (i) distinguishing the specialization relations into
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G. A. Miller, R. Beckwith, C. D. Fellbaum, D. Gross, K. Miller. 1990. WordNet: An online lexical database. Int. J. Lexicograph. 3, 4, pp. 235–244.
2008:. Proc. of the 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013), Sofia, Bulgaria, August 4–9, 2013, pp. 1341-1351. 2524:. Proc. of the 48th Annual Meeting of the Association for Computational Linguistics (ACL 2010), Uppsala, Sweden, July 11–16, 2010, pp. 216–225. 1723: 3262: 909:", but it is difficult to classify emotions like "fear" or "happiness" into equally deep and well-defined hyponyms/hypernym relationships. 3913: 1250: 389:
All synsets are connected by means of semantic relations. These relations, which are not all shared by all lexical categories, include:
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at a maintenance level). All are linked to a unique beginner synset, "entity". Noun hierarchies are far deeper than verb hierarchies.
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is found following hypernym hierarchy; the words at the same level represent synset members. Each set of synonyms has a unique index.
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The MultiWordNet project, a multilingual WordNet aimed at producing an Italian WordNet strongly aligned with the Princeton WordNet.
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WordNet++, a resource including over millions of semantic edges harvested from Knowledge and connecting pairs of WordNet synsets.
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reuse WordNet for knowledge-based applications (typically, knowledge-oriented information retrieval) simply reuse it directly.
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P. Vossen, Ed. 1998. EuroWordNet: A Multilingual Database with Lexical Semantic Networks. Kluwer, Dordrecht, The Netherlands.
2484:"UWN: Towards a Universal Multilingual Wordnet - D5: Databases and Information Systems (Max-Planck-Institut für Informatik)" 3873: 3583: 3274: 3110: 2738: 3837: 3067: 3001: 2780: 2707:. In Proceedings of the 7th Conference on Language Resources and Evaluation (LREC'10), Valletta, MT, 2010, pp. 2200–2204. 2281: 1265:
OpenWN-PT is a Brazilian Portuguese version of the original WordNet freely available for download under CC-BY-SA license.
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JAWS (Just Another WordNet Subset), another French version of WordNet built using the Wiktionary and semantic spaces
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and are freely available for download from that WordNet website. There are now WordNets in more than 200 languages.
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Piek Vossen, Claudia Soria, Monica Monachini: Wordnet-LMF: a standard representation for multilingual wordnets, in
1240: 1116: 136: 2694:. In Proc. of the 48th Annual Meeting of the Association for Computational Linguistics (ACL), 2010, pp. 1522–1531. 1504: : Digital Platform for publishing reference works (dictionaries, encyclopedias, etc.). Includes WordnetPlus. 1145:
FinnWordNet is a Finnish version of the WordNet where all entries of the original English WordNet were translated.
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from the user's input. Irregular forms are stored in a list, and looking up "ate" will return "eat," for example.
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Pushpak Bhattacharyya, IndoWordNet, Lexical Resources Engineering Conference 2010 (LREC 2010), Malta, May, 2010.
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At the top level, these hierarchies are organized into 25 beginner "trees" for nouns and 15 for verbs (called
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Building a BIOWORDNET by Using WORDNET’s Data Formats and WORDNET’s Software Infrastructure – A Failure Story
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with millions of concepts obtained by integrating WordNet and Knowledge using an automatic mapping algorithm.
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WordNet Database is distributed as a dictionary package (usually a single file) for the following software:
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ColorDict, is an Android application to mobiles phones that use Wordnet database and others, like Knowledge.
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word form are assigned to different synsets. A synset's meaning is further clarified with a short defining
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Proc. of the Software Engineering, Testing, and Quality Assurance for Natural Language Processing Workshop
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BioWordnet, a biomedical extension of wordnet was abandoned due to issues about stability over versions.
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from 1913 with some WordNet definitions and material provided by volunteers. It was released under the
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is a Bulgarian version of the WordNet developed at the Department of Computational Linguistics of the
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Proceedings of the 2nd International Conference on Formal Ontology in Information Systems (FOIS-2001)
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with short definitions and usage examples. It can thus be seen as a combination and extension of a
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16MB (including 155,327 words organized in 175,979 synsets for a total of 207,016 word-sense pairs)
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WonderWeb Deliverable D17. The WonderWeb Library of Foundational Ontologies and the DOLCE ontology
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aimed to consolidate lexicosemantic data of many languages to be used in machine translation and
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Collins A., Quillian M. R. 1972. Experiments on Semantic Memory and Language Comprehension. In
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Princeton maintains a list of related projects that includes links to some of the widely used
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Toward a Standard Upper Ontology: A large ontology for the Semantic Web and its applications
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Proceedings of the IEEE International Conference on Information and Knowledge Engineering
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is a video dictionary focusing on pronunciations. Its text part is extended from WordNet.
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synsets in human languages. The GWA keeps a list of wordnets developed around the world.
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The morphology functions of the software distributed with the database try to deduce the
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SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining
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Proc. of the 21st International Joint Conference on Artificial Intelligence (IJCAI 2009)
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The OntoWordNet Project: Extension and Axiomatization of Conceptual Relations in WordNet
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is a linked lexical knowledge base of wordnets of 18 scheduled languages of India viz.,
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Linking Lexicons and Ontologies: Mapping WordNet to the Suggested Upper Merged Ontology
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Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics
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Masolo, C., Borgo, S., Gangemi, A., Guarino, N., Oltramari, A., Schneider, L.S. 2002.
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available for accessing WordNet using various programming languages and environments.
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Ballatore A, et al. (2014). "Linking geographic vocabularies through WordNet".
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Fellbaum, Christiane; Vossen, Piek (2012). "Challenges for a multilingual wordnet".
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of everyday common sense knowledge, has 12,000 terms linked to WordNet synonym sets.
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Align, Disambiguate and Walk: A Unified Approach for Measuring Semantic Similarity.
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C. Bizer, J. Lehmann, G. Kobilarov, S. Auer, C. Becker, R. Cyganiak, S. Hellmann,
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Words from the same lexical category that are roughly synonymous are grouped into
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Meaningful Clustering of Senses Helps Boost Word Sense Disambiguation Performance
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is a lexical database that shares some similarities with, and refers to, WordNet.
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WordNet has been used for a number of purposes in information systems, including
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because a canary is a songbird, but required slightly more time to verify that
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The most widely discussed limitation of WordNet (and related resources like
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is a German version of the WordNet developed by the University of Tübingen.
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methods that automatically group together similar senses of the same word.
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Proc. of AAAI 2002 Conference Workshop on Ontologies For The Semantic Web
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Proc. of the Conference on Recent Advances on Natural Language (RANLP’03)
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Large-Scale Taxonomy Mapping for Restructuring and Integrating Knowledge
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Proc. of 2009 IEEE Conference on Computer Vision and Pattern Recognition
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WordNet is the most commonly used computational lexicon of English for
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Balkanet: Aims, methods, results and perspectives. A general overview
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Knowledge-rich Word Sense Disambiguation rivaling supervised systems
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Balkova, Valentina; Sukhonogov, Andrey; Yablonsky, Sergey (2003).
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Proc. of the ACL SIGLEX Workshop: Standardizing Lexical Resources
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However, this limitation is true of other lexical resources like
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WordNet 2 – A Morphologically and Semantically Enhanced Resource
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Both nouns and verbs are organized into hierarchies, defined by
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and one or more usage examples. An example adjective synset is:
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and offensive words. Some dictionaries indicate words that are
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E. Agirre, O. Lopez. 2003. Clustering WordNet Word Senses. In
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WOLF (WordNet Libre du Français), a French version of WordNet.
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WordNet-based word similarity algorithms are implemented in a
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BabelNet: Building a Very Large Multilingual Semantic Network
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Oltramari, A.; Gangemi, A.; Guarino, N.; Masolo, C. (2002).
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PolNet is a Polish-language version of WordNet developed by
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Proc. of the 1st International Conference on Global WordNet
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Proceedings of the 9th Global WordNet Conference (GWC 2018)
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WordNet was first created in 1985, in English only, in the
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Building a free French wordnet from multilingual resources
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Romanian J. Sci. Tech. Inform. (Special Issue on Balkanet)
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is a free online dictionary based on the WordNet database.
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Gangemi, A., Guarino, N., Masolo, C., Oltramari, A. 2003
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MultiWordNet: Developing an aligned multilingual database
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Restructuring WordNet's Top-Level: The OntoClean approach
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access and use WordNets as language resources to provide
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placental, placental mammal, eutherian, eutherian mammal
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like "eat out" and "car pool." The different senses of a
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The database contains 155,327 words organized in 175,979
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J. Deng, W. Dong, R. Socher, L. Li, K. Li, L. Fei-Fei.
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WikiTax2WordNet, a mapping between WordNet synsets and
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OpenDutchWordNet, is a Dutch lexical semantic database.
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S. M. Harabagiu, G. A. Miller, D. I. Moldovan. 1999.
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DBpedia – A crystallization point for the Web of Data
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Petersburg State University of Means of Communication
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is a Polish-language version of WordNet developed by
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animal, animate being, beast, brute, creature, fauna
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ImageNet: A Large-Scale Hierarchical Image Database
742:relationships. For instance, one sense of the word 2826: 1888:R. Snow, S. Prakash, D. Jurafsky, A. Y. Ng. 2007. 1069: 1074:WordNet is connected to several databases of the 998:The Open Multilingual WordNet provides access to 3865: 3335: 2820:. Cochin University of Science & Technology. 1030:and even automatic crossword puzzle generation. 939:WordNet includes words that can be perceived as 3132: 2720:, edited by Gil Francopoulo ISTE / Wiley 2013 ( 2072:"Related projects - WordNet - Related projects" 943:or offensive. The interpretation of a word can 916:WordNet does not include information about the 1806: 1690:Gangemi, A.; Navigli, R.; Velardi, P. (2003). 226:. While it is accessible to human users via a 3118: 2855: 2092:The Global WordNet Association (2010-02-04). 1555: 1425:a database of 10 resources including WordNet. 1376:project produced a dictionary by combining a 1122:CWN (Chinese Wordnet or 中文詞彙網路) supported by 1081: 1042:package called WordNet::Similarity, and in a 977: 2703:S. Baccianella, A. Esuli and F. Sebastiani. 2601:. In AI Magazine 24(3): Fall 2003, pp. 13–24 2329:E. Pianta, L. Bentivogli, C. Girardi. 2002. 2004:M. T. Pilehvar, D. Jurgens and R. Navigli. 1699:. Catania, Sicily (Italy). pp. 820–838. 1282:(distributed under CC BY-NC-ND 3.0 license). 1033:A common use of WordNet is to determine the 327:for a total of 207,016 word-sense pairs; in 42:A snapshot of WordNet's definition of itself 1290:and led by S.A. Yablonsky, and Russnet, by 1251:Cochin University Of Science and Technology 807: 257: 3125: 3111: 2862: 2848: 2656:M. Poprat, E. Beisswanger, U. Hahn. 2008. 1776: 1444:(LMF) is an ISO standard specified within 238:applications. It was first created in the 2031: 2017: 1746: 369:, which include simplex words as well as 2614:. Web Semantics, 7(3), 2009, pp. 154–165 1896:, Prague, Czech Republic, pp. 1005–1014. 837: 314: 2282:JAWS : Just Another WordNet Subset 2149:D. Tufis, D. Cristea, S. Stamou. 2004. 1935:A survey of wordnets and their licenses 1722:CS1 maint: location missing publisher ( 1670:"Integration of WordNet 1.7 in WebKB-2" 1325:ontology has a complete manual mapping 14: 3866: 2188:Chinese Wordnet (中文詞彙網路) official page 1933:Francis Bond and Kyonghee Paik 2012a. 727: 3106: 2843: 3584:Simple Knowledge Organization System 2369:"arademaker/openWordnet-PT — GitHub" 1973:"Ted Pedersen - WordNet::Similarity" 1905: 1777:Bond, Francis; Foster, Ryan (2013). 1280:Adam Mickiewicz University in Poznań 934: 804:"dumbbells" rather than as "trees". 751:dog, domestic dog, Canis familiaris 319:Example entry "Hamburger" in WordNet 310: 3068:International scientific vocabulary 2350:. Wordpress.let.vupr.nl. 2015-10-28 2074:. Wordnet.princeton.edu. 2014-01-06 1843:Word Sense Disambiguation: A Survey 1455:is a project under the auspices of 1429: 338:It includes the lexical categories 24: 3914:Free software programmed in Prolog 2824: 1862:, Borovetz, Bulgaria, pp. 121–130. 1611:"About Global WordNet Association" 1090: 1064:application programming interfaces 230:, its primary use is in automatic 25: 3930: 3904:1985 establishments in New Jersey 3599:Thesaurus (information retrieval) 2797: 2280:C. Mouton, G. de Chalendar. 2010. 1809:Language Resources and Evaluation 1292:Saint Petersburg State University 674:is a coordinate term of the verb 250:tools have been released under a 3088: 2869: 2210:"The Global WordNet Association" 1657:Cognition in Learning and Memory 1479: 1273:Wrocław University of Technology 1241:Nanyang University of Technology 1119:, Bulgarian Academy of Sciences. 1117:Institute for Bulgarian Language 212:. The synonyms are grouped into 36: 27:Computational lexicon of English 2773: 2752: 2731: 2710: 2697: 2684: 2667: 2650: 2634: 2617: 2604: 2591: 2588:. Report (ver. 2.0, 15-08-2002) 2578: 2561: 2544: 2527: 2514: 2497: 2476: 2455: 2425: 2404: 2393: 2382: 2361: 2340: 2323: 2302: 2291: 2274: 2244: 2223: 2212:. Globalwordnet.org. 2010-02-04 2202: 2193: 2181: 2160: 2143: 2134: 2125: 2107: 2085: 2064: 2011: 1998: 1986: 1965: 1940: 1927: 1899: 1882: 1865: 1852: 1835: 1800: 1770: 1755: 1730: 1070:Related projects and extensions 1005: 905:", and a "plant" is a type of " 3919:Software using the BSD license 3180:Natural language understanding 2987:Language-for-specific-purposes 1683: 1662: 1649: 1628: 1603: 1578: 1569: 1541: 1305: 1099:: WordNet for Arabic language. 880: 873:restructured according to the 13: 1: 3704:Optical character recognition 2762:. Sourceforge.net. 2010-12-01 2599:Sweetening WordNet with DOLCE 2190:at National Taiwan University 1890:Learning to Merge Word Senses 1535: 1366:University of Texas at Dallas 1057: 1020:automatic text classification 113:Unix, Linux, Solaris, Windows 3899:Projects established in 1985 3397:Multi-document summarization 2718:LMF Lexical Markup Framework 2690:S. P. Ponzetto, R. Navigli. 2567:S. Reed and D. Lenat. 2002. 2520:R. Navigli, S. P. Ponzetto. 2486:. Mpi-inf.mpg.de. 2011-08-14 2050:10.1080/19475683.2014.904440 1314:, a very large multilingual 1024:automatic text summarization 294:Disruptive Technology Office 7: 3874:Online English dictionaries 3727:Latent Dirichlet allocation 3699:Natural language generation 3564:Machine-readable dictionary 3559:Linguistic Linked Open Data 3134:Natural language processing 3078:List of online dictionaries 2569:Mapping Ontologies into Cyc 2503:S. Benoît, F. Darja. 2008. 2463:"RussNet: Главная страница" 2337:, Mysore, India, pp. 21–25. 1948:"Open Multilingual Wordnet" 1520:Machine-readable dictionary 1508: 993:natural-language processing 867:DOLCE foundational ontology 290:National Science Foundation 280:. It was later directed by 80:; 13 years ago 10: 3935: 3479:Explicit semantic analysis 3228:Deep linguistic processing 1590:Global WordNet Association 1124:National Taiwan University 1082:Global WordNet Association 978:Licensed vs. Open WordNets 901:", a "tree" is a type of " 612:is a troponym of the verb 580:is a hypernym of the verb 362:and other function words. 3889:Computational linguistics 3830: 3785: 3740: 3712: 3672: 3617: 3539: 3527: 3458: 3415: 3387: 3322:Word-sense disambiguation 3198: 3175:Computational linguistics 3140: 3086: 3060: 2916: 2877: 2783:. Lingoes.net. 2007-11-16 2673:S. Ponzetto, R. Navigli. 2550:I. Niles, A. Pease 2003. 2533:I. Niles, A. Pease 2001. 1821:10.1007/s10579-012-9186-z 1140:Oxford English Dictionary 1012:word-sense disambiguation 925:word-sense disambiguation 159: 147: 135: 127: 117: 107: 97: 93: 71: 67: 59: 47: 35: 3884:Knowledge representation 3848:Natural Language Toolkit 3772:Pronunciation assessment 3674:Automatic identification 3504:Latent semantic analysis 3460:Distributional semantics 3345:Compound-term processing 3243:Named-entity recognition 2575:, Edmonton, Canada, 2002 1515:Lexical Markup Framework 1442:Lexical markup framework 808:Psycholinguistic aspects 698:is a coordinate term of 690:is a coordinate term of 644:is entailed by the verb 495:is a coordinate term of 487:is a coordinate term of 471:is a coordinate term of 258:History and team members 242:and the English WordNet 3752:Automated essay scoring 3722:Document classification 3389:Automatic summarization 2310:"MCR 3.0 | Adimen" 2115:"Wordnets in the World" 1975:. D.umn.edu. 2008-06-16 1952:compling.hss.ntu.edu.sg 1849:, 41(2), 2009, pp. 1–69 1638:. Wordnet.princeton.edu 1586:"WordNets in the World" 1138:, the publisher of the 1136:Oxford University Press 307:are its co-presidents. 270:under the direction of 236:artificial intelligence 131:More than 200 languages 78:3.1 / June 2011 3609:Universal Dependencies 3302:Terminology extraction 3285:Semantic decomposition 3280:Semantic role labeling 3270:Part-of-speech tagging 3238:Information extraction 3223:Coreference resolution 3213:Collocation extraction 3073:List of lexicographers 2465:. Project.phil.spbu.ru 2254:. Sfs.uni-tuebingen.de 1563:"WordNet Search - 3.1" 1461:information extraction 889:) is that some of the 320: 278:George Armitage Miller 3370:Sentence segmentation 3002:Monolingual learner's 2509:Proc. of Ontolex 2008 1993:NLP using Python NLTK 1847:ACM Computing Surveys 1016:information retrieval 966:, which also contain 949:between social groups 838:As a lexical ontology 766:vertebrate, craniate 331:form, it is about 12 318: 3822:Voice user interface 3533:datasets and corpora 3474:Document-term matrix 3327:Word-sense induction 2441:GWC 2004 Proceedings 2348:"Open Dutch WordNet" 1636:"WordNet Statistics" 1408:Knowledge categories 1382:Webster's Dictionary 1364:is a project at the 268:Princeton University 54:Princeton University 3802:Interactive fiction 3732:Pachinko allocation 3689:Speech segmentation 3645:Google Ngram Viewer 3417:Machine translation 3407:Text simplification 3402:Sentence extraction 3290:Semantic similarity 3042:Spelling dictionary 2952:Defining vocabulary 2814:"Malayalam WordNet" 2511:, Marrakech, Maroc. 2157:, 7(1-2), pp. 9–43. 2096:. globalwordnet.org 2094:"globalwordnet.org" 2042:2014AnGIS..20...73B 1028:machine translation 798:lexicographic files 728:Knowledge structure 305:Piek Th.J.M. Vossen 301:Christiane Fellbaum 282:Christiane Fellbaum 32: 3909:Corpus linguistics 3812:Question answering 3684:Speech recognition 3549:Corpus linguistics 3529:Language resources 3312:Textual entailment 3295:Sentiment analysis 3094:Linguistics portal 2927:Advanced learner's 2312:. Adimen.si.ehu.es 2286:Proc. of TALN 2010 2233:. Ling.helsinki.fi 1907:Wong, Julia Carrie 1659:. Wiley, New York. 891:semantic relations 823:canaries have skin 686:share a hypernym ( 652:you must be doing 596:is an hypernym of 483:share a hypernym ( 321: 198:semantic relations 186:semantic relations 30: 3879:Lexical databases 3861: 3860: 3817:Virtual assistant 3742:Computer-assisted 3668: 3667: 3425:Computer-assisted 3383: 3382: 3375:Word segmentation 3337:Text segmentation 3275:Semantic analysis 3263:Syntactic parsing 3248:Ontology learning 3100: 3099: 2833:Italian Sentiment 2781:"Lingoes WordNet" 2739:"Babylon WordNet" 2726:978-1-84821-430-9 2412:"Русский WordNet" 1247:Malayalam WordNet 935:Offensive content 815:canaries can sing 628:is a troponym of 423:is a hypernym of 407:is a hypernym of 311:Database contents 264:Cognitive Science 252:BSD style license 175: 174: 16:(Redirected from 3926: 3838:Formal semantics 3787:Natural language 3694:Speech synthesis 3676:and data capture 3579:Semantic network 3554:Lexical resource 3537: 3536: 3355:Lexical analysis 3333: 3332: 3258:Semantic parsing 3127: 3120: 3113: 3104: 3103: 3092: 2992:Machine-readable 2864: 2857: 2850: 2841: 2840: 2836: 2830: 2821: 2818:Computer Science 2809: 2808: 2806:Official website 2792: 2791: 2789: 2788: 2777: 2771: 2770: 2768: 2767: 2756: 2750: 2749: 2747: 2746: 2735: 2729: 2714: 2708: 2701: 2695: 2688: 2682: 2671: 2665: 2654: 2648: 2638: 2632: 2621: 2615: 2608: 2602: 2595: 2589: 2582: 2576: 2565: 2559: 2548: 2542: 2531: 2525: 2518: 2512: 2501: 2495: 2494: 2492: 2491: 2480: 2474: 2473: 2471: 2470: 2459: 2453: 2452: 2450: 2448: 2438: 2429: 2423: 2422: 2420: 2419: 2408: 2402: 2400:official webpage 2397: 2391: 2389:official webpage 2386: 2380: 2379: 2377: 2376: 2365: 2359: 2358: 2356: 2355: 2344: 2338: 2327: 2321: 2320: 2318: 2317: 2306: 2300: 2295: 2289: 2278: 2272: 2269: 2263: 2262: 2260: 2259: 2248: 2242: 2241: 2239: 2238: 2227: 2221: 2220: 2218: 2217: 2206: 2200: 2197: 2191: 2185: 2179: 2178: 2176: 2175: 2164: 2158: 2147: 2141: 2138: 2132: 2129: 2123: 2122: 2117:. Archived from 2111: 2105: 2104: 2102: 2101: 2089: 2083: 2082: 2080: 2079: 2068: 2062: 2061: 2035: 2015: 2009: 2002: 1996: 1990: 1984: 1983: 1981: 1980: 1969: 1963: 1962: 1960: 1958: 1944: 1938: 1931: 1925: 1924: 1922: 1921: 1903: 1897: 1886: 1880: 1869: 1863: 1856: 1850: 1839: 1833: 1832: 1804: 1798: 1797: 1795: 1793: 1783: 1774: 1768: 1767: 1759: 1753: 1752: 1750: 1734: 1728: 1727: 1720: 1714: 1710: 1708: 1700: 1698: 1687: 1681: 1680: 1678: 1677: 1666: 1660: 1653: 1647: 1646: 1644: 1643: 1632: 1626: 1625: 1623: 1621: 1607: 1601: 1600: 1598: 1596: 1582: 1576: 1573: 1567: 1566: 1559: 1553: 1552: 1545: 1473:Dictionary.video 1430:Related projects 1362:eXtended WordNet 1316:semantic network 945:change over time 897:" is a type of " 849:computer science 827:psycholinguistic 819:canaries can fly 624:in some manner ( 616:if the activity 584:if the activity 559:is a meronym of 543:is a meronym of 527:is a holonym of 511:is a holonym of 457:is a hyponym of 441:is a hyponym of 240:English language 182:lexical database 171: 168: 166: 142:Lexical database 109:Operating system 88: 86: 81: 40: 33: 29: 21: 3934: 3933: 3929: 3928: 3927: 3925: 3924: 3923: 3864: 3863: 3862: 3857: 3826: 3806:Syntax guessing 3788: 3781: 3767:Predictive text 3762:Grammar checker 3743: 3736: 3708: 3675: 3664: 3630:Bank of English 3613: 3541: 3532: 3523: 3454: 3411: 3379: 3331: 3233:Distant reading 3208:Argument mining 3194: 3190:Text processing 3136: 3131: 3101: 3096: 3082: 3056: 2912: 2880:reference works 2873: 2868: 2825:Pilato, Maria. 2812: 2804: 2803: 2800: 2795: 2786: 2784: 2779: 2778: 2774: 2765: 2763: 2758: 2757: 2753: 2744: 2742: 2737: 2736: 2732: 2715: 2711: 2702: 2698: 2689: 2685: 2672: 2668: 2655: 2651: 2639: 2635: 2622: 2618: 2609: 2605: 2596: 2592: 2583: 2579: 2566: 2562: 2549: 2545: 2532: 2528: 2519: 2515: 2502: 2498: 2489: 2487: 2482: 2481: 2477: 2468: 2466: 2461: 2460: 2456: 2446: 2444: 2436: 2430: 2426: 2417: 2415: 2410: 2409: 2405: 2398: 2394: 2387: 2383: 2374: 2372: 2367: 2366: 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840: 810: 794: 730: 668:coordinate term 660:is entailed by 588:is a (kind of) 465:coordinate term 449:is a (kind of) 415:is a (kind of) 313: 260: 163: 89: 84: 82: 79: 60:Initial release 43: 28: 23: 22: 15: 12: 11: 5: 3932: 3922: 3921: 3916: 3911: 3906: 3901: 3896: 3891: 3886: 3881: 3876: 3859: 3858: 3856: 3855: 3850: 3845: 3840: 3834: 3832: 3828: 3827: 3825: 3824: 3819: 3814: 3809: 3799: 3793: 3791: 3789:user interface 3783: 3782: 3780: 3779: 3774: 3769: 3764: 3759: 3754: 3748: 3746: 3738: 3737: 3735: 3734: 3729: 3724: 3718: 3716: 3710: 3709: 3707: 3706: 3701: 3696: 3691: 3686: 3680: 3678: 3670: 3669: 3666: 3665: 3663: 3662: 3657: 3652: 3647: 3642: 3637: 3632: 3627: 3621: 3619: 3615: 3614: 3612: 3611: 3606: 3601: 3596: 3591: 3586: 3581: 3576: 3571: 3566: 3561: 3556: 3551: 3545: 3543: 3534: 3525: 3524: 3522: 3521: 3516: 3514:Word embedding 3511: 3506: 3501: 3494:Language model 3491: 3486: 3481: 3476: 3471: 3465: 3463: 3456: 3455: 3453: 3452: 3447: 3445:Transfer-based 3442: 3437: 3432: 3427: 3421: 3419: 3413: 3412: 3410: 3409: 3404: 3399: 3393: 3391: 3385: 3384: 3381: 3380: 3378: 3377: 3372: 3367: 3362: 3357: 3352: 3347: 3341: 3339: 3330: 3329: 3324: 3319: 3314: 3309: 3304: 3298: 3297: 3292: 3287: 3282: 3277: 3272: 3267: 3266: 3265: 3260: 3250: 3245: 3240: 3235: 3230: 3225: 3220: 3218:Concept mining 3215: 3210: 3204: 3202: 3196: 3195: 3193: 3192: 3187: 3182: 3177: 3172: 3171: 3170: 3165: 3155: 3150: 3144: 3142: 3138: 3137: 3130: 3129: 3122: 3115: 3107: 3098: 3097: 3087: 3084: 3083: 3081: 3080: 3075: 3070: 3064: 3062: 3058: 3057: 3055: 3054: 3049: 3044: 3039: 3034: 3029: 3024: 3019: 3014: 3009: 3004: 2999: 2994: 2989: 2984: 2979: 2974: 2969: 2964: 2959: 2954: 2949: 2944: 2939: 2934: 2929: 2923: 2921: 2914: 2913: 2911: 2910: 2905: 2900: 2895: 2890: 2884: 2882: 2875: 2874: 2867: 2866: 2859: 2852: 2844: 2838: 2837: 2822: 2810: 2799: 2798:External links 2796: 2794: 2793: 2772: 2751: 2730: 2709: 2696: 2683: 2666: 2649: 2633: 2616: 2603: 2590: 2577: 2560: 2543: 2526: 2513: 2496: 2475: 2454: 2424: 2403: 2392: 2381: 2360: 2339: 2322: 2301: 2290: 2273: 2264: 2243: 2222: 2201: 2192: 2180: 2159: 2142: 2133: 2124: 2121:on 2011-10-21. 2106: 2084: 2063: 2010: 1997: 1985: 1964: 1939: 1926: 1909:(2019-09-18). 1898: 1881: 1864: 1851: 1834: 1815:(2): 313–326. 1799: 1769: 1754: 1748:10.1.1.19.6574 1729: 1682: 1661: 1648: 1627: 1615:Global WordNet 1602: 1577: 1568: 1554: 1549:"WordNet News" 1539: 1537: 1534: 1533: 1532: 1527: 1522: 1517: 1510: 1507: 1506: 1505: 1499: 1494: 1491: 1481: 1478: 1477: 1476: 1470: 1467:Meaning Monkey 1464: 1450: 1439: 1431: 1428: 1427: 1426: 1420: 1417: 1414: 1411: 1404: 1401: 1394: 1370: 1358: 1352: 1346: 1343:knowledge base 1332: 1319: 1307: 1304: 1303: 1302: 1299: 1284: 1283: 1276: 1266: 1263: 1260: 1257: 1254: 1244: 1237:WordNet Bahasa 1234: 1231: 1152: 1146: 1143: 1127: 1120: 1110: 1106: 1100: 1097:Arabic WordNet 1092: 1089: 1083: 1080: 1071: 1068: 1059: 1056: 1007: 1004: 979: 976: 936: 933: 882: 879: 839: 836: 831:anomic aphasia 809: 806: 793: 792: 791: 790: 789: 788: 787: 786: 785: 784: 783: 782: 781: 780: 779: 778: 777: 776: 754:canine, canid 748: 729: 726: 706: 705: 704: 703: 665: 633: 601: 566: 565: 564: 532: 500: 462: 430: 387: 386: 312: 309: 266:Laboratory of 259: 256: 173: 172: 161: 157: 156: 151: 145: 144: 139: 133: 132: 129: 125: 124: 121: 115: 114: 111: 105: 104: 99: 95: 94: 91: 90: 77: 75: 73:Stable release 69: 68: 65: 64: 61: 57: 56: 51: 45: 44: 41: 26: 9: 6: 4: 3: 2: 3931: 3920: 3917: 3915: 3912: 3910: 3907: 3905: 3902: 3900: 3897: 3895: 3892: 3890: 3887: 3885: 3882: 3880: 3877: 3875: 3872: 3871: 3869: 3854: 3851: 3849: 3846: 3844: 3843:Hallucination 3841: 3839: 3836: 3835: 3833: 3829: 3823: 3820: 3818: 3815: 3813: 3810: 3807: 3803: 3800: 3798: 3795: 3794: 3792: 3790: 3784: 3778: 3777:Spell checker 3775: 3773: 3770: 3768: 3765: 3763: 3760: 3758: 3755: 3753: 3750: 3749: 3747: 3745: 3739: 3733: 3730: 3728: 3725: 3723: 3720: 3719: 3717: 3715: 3711: 3705: 3702: 3700: 3697: 3695: 3692: 3690: 3687: 3685: 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Index

Wordnet

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wordnet.princeton.edu
lexical database
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words
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hyponyms
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dictionary
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