Results 11 to 20 of about 38,226 (255)

Using WordNet for Building WordNets [PDF]

open access: yes, 1997
This paper summarises a set of methodologies and techniques for the fast construction of multilingual WordNets. The English WordNet is used in this approach as a backbone for Catalan and Spanish WordNets and as a lexical knowledge resource for several ...
Farreres, Xavier   +2 more
core   +6 more sources

WordNet [PDF]

open access: goldCommunications 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.
George A. Miller
openalex   +4 more sources

Mapping wordnets from the perspective of inter-lingual equivalence [PDF]

open access: yesCognitive Studies | Études cognitives, 2017
Mapping wordnets from the perspective of inter-lingual equivalence This paper explores inter-lingual equivalence from the perspective of linking two large lexico-semantic databases, namely the Princeton WordNet of English and the plWordnet (pl ...
Ewa Katarzyna Rudnicka   +4 more
doaj   +2 more sources

Exploring the Guessing-Game Experimental Paradigm: Inferences From Closed- Versus Open-Ended Semantic Space. [PDF]

open access: yesCogn Sci
Abstract How we measure success in signal comprehension experiments fundamentally shapes our conclusions. Two recent studies have demonstrated that humans can guess the meanings of novel vocalizations and ape gestures above chance when selecting from limited alternatives.
Kuleshova S   +8 more
europepmc   +2 more sources

Cognitive Networks for Knowledge Modeling: A Gentle Introduction for Data- and Cognitive Scientists. [PDF]

open access: yesWiley Interdiscip Rev Cogn Sci
Cognitive network science helps organize associative knowledge—that is, the connections between concepts. These connections play a key role in cognitive processes such as language understanding and context interpretation, even though they are not obvious in language use.
Haim E, Stella M.
europepmc   +2 more sources

Synonym‐based multi‐keyword ranked search with secure k‐NN in 6G network

open access: yesIET Networks, EarlyView., 2022
Abstract Sixth Generation (6G) integrates the next generation communication systems such as maritime, terrestrial, and aerial to offer robust network and massive device connectivity with ultra‐low latency requirement. The cutting edge technologies such as artificial intelligence, quantum machine learning, and millimetre enable hyper‐connectivity to ...
Deebak Bakkiam David, Fadi Al‐Turjman
wiley   +1 more source

Semantic relations among adjectives in Polish WordNet 2.0: a new relation set, discussion and evaluation

open access: yesCognitive Studies | Études cognitives, 2015
Semantic relations among adjectives in Polish WordNet 2.0: a new relation set, discussion and evaluation Adjectives in wordnets are often neglected: there are many fewer of them than nouns, and relations among them are sometimes not as varied as those ...
Marek Maziarz   +2 more
doaj   +1 more source

Semantic relations between verbs in Polish WordNet 2.0

open access: yesCognitive Studies | Études cognitives, 2015
Semantic relations between verbs in Polish WordNet 2.0 The noun dominates wordnets. The lexical semantics of verbs is usually under-represented, even if it is essential in any semantic analysis which goes beyond statistical methods.
Marek Maziarz   +4 more
doaj   +1 more source

Disambiguating Nouns, Verbs, and Adjectives Using Automatically Acquired Selectional Preferences [PDF]

open access: yes, 2003
Selectional preferences have been used by word sense disambiguation (WSD) systems as one source of disambiguating information. We evaluate WSD using selectional preferences acquired for English adjective—noun, subject, and direct object grammatical ...
Briscoe Ted   +3 more
core   +4 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

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