Results 11 to 20 of about 2,298 (183)
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
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
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
Using WordNet for Building WordNets
CoRR, 1998 8 pages, postscript file.
Xavier Farreres +2 more
openaire +3 more sources
Sustainable long-term WordNet development and maintenance: Case study of the Czech WordNet
Cognitive Studies | Études cognitives, 2018 Sustainable long-term WordNet development and maintenance: Case study of the Czech WordNet Czech WordNet represents one of the first national wordnets created during the EuroWordNet and BalkaNet projects.
Adam Rambousek, Aleš Horák, Karel Pala
doaj +1 more source
An Efficient Approach for Measuring Semantic Similarity Combining WordNet and Wikipedia
IEEE Access, 2020 The measurement of semantic similarity between concepts is an important research topic in natural language processing. In the past, several approaches for measuring the semantic similarity between concepts have been proposed based on WordNet or Wikipedia.
Fei Li +5 more
doaj +1 more source
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
Semantic relations between verbs in Polish WordNet 2.0
Cognitive 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
Wordnet Semantic Relations in a Chatbot
Recoletos Multidisciplinary Research Journal, 2020 The goal of this research is to design and implement a chatbot for querying Wordnet semantic relations. The study creates a contextual chatbot named WordnetBot, a web application that utilizes the use of technologies such as Dialogflow, React, NodeJS ...
Josephine Petralba
doaj +1 more source
CoRR, 2019 Princeton WordNet is one of the most important resources for natural language processing, but is only available for English. While it has been translated using the expand approach to many other languages, this is an expensive manual process. Therefore it would be beneficial to have a high-quality automatic translation approach that would support NLP ...
Mihael Arcan +2 more
openaire +2 more sources