Results 11 to 20 of about 7,796 (230)
Semantic relations among nouns in Polish WordNet grounded in lexicographic and semantic tradition [PDF]
Cognitive Studies | Études cognitives, 2015 Semantic relations among nouns in Polish WordNet grounded in lexicographic and semantic tradition The paper describes a system of lexico-semantic relations proposed for the nominal part of plWordNet 2.0 – the largest Polish wordnet.
Marek Maziarz +3 more
doaj +3 more sources
Lexical Perspective on Wordnet to Wordnet Mapping [PDF]
, 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.
Piasecki, Maciej +4 more
core +3 more sources
Exploring the Guessing-Game Experimental Paradigm: Inferences From Closed- Versus Open-Ended Semantic Space. [PDF]
Cogn SciAbstract 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]
Wiley Interdiscip Rev Cogn SciCognitive 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
IET 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
Proceedings 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
Towards a crowd-sourced WordNet for colloquial English [PDF]
, 2018 Princeton WordNet is one of the most widely-used resources for natural language processing, but is updated only infrequently and cannot keep up with the fast-changing usage of the English language on social media platforms such as Twitter. The Colloquial
McCrae, John P. +2 more
core +2 more sources
Indian Language Wordnets and their Linkages with Princeton WordNet
CoRR, 2022 approaches, these resources are considered as gold standard/oracle.
Kanojia, Diptesh +2 more
openaire +4 more sources
Using WordNet for Building WordNets
CoRR, 1998 8 pages, postscript file.
Xavier Farreres +2 more
openaire +3 more sources
Cognitive 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