Results 41 to 50 of about 818 (197)

Data-driven synset induction and disambiguation for wordnet development [PDF]

open access: yesLanguage Resources and Evaluation, 2014
Automatic methods for wordnet development in languages other than English generally exploit information found in Princeton WordNet (PWN) and translations extracted from parallel corpora. A common approach consists in preserving the structure of PWN and transferring its content in new languages using alignments, possibly combined with information ...
Apidianaki, Marianna, Sagot, Benoît
openaire   +1 more source

Large-scale image annotation using visual synset

open access: yes, 2011
©2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or ...
James M. Rehg   +11 more
core   +1 more source

Development Synonym Set for the English Wordnet Using the Method of Comutative and Agglomerative Clustering

open access: yesJurnal Sisfokom, 2020
Wordnet is a collection of words that interpret or present a meaning, in its development Wordnet has an important part, the Synonym Set or Synset. In making Synonym sets, synonyms are needed and the commutative nature of words is needed.
Munirsyah Munirsyah   +2 more
doaj   +1 more source

Cognitive Networks for Knowledge Modeling: A Gentle Introduction for Data‐ and Cognitive Scientists

open access: yesWIREs Cognitive Science, Volume 17, Issue 2, March/April 2026.
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.
Edith Haim, Massimo Stella
wiley   +1 more source

Fine‐Grained Opinion Mining–Based Conjoint Analysis for Automatically Extracting Consumer Preference Using the Modelled Product Review Dataset

open access: yesApplied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
Consumer preference describes the subjective individual taste of consumers to various kinds of products as measured by the utility of the product. Revealing consumer preferences is crucial for both companies and consumers. Unfortunately, most studies attempting to extract consumer preferences are based on discrete choice studies involving surveys of ...
Bagus Setya Rintyarna   +5 more
wiley   +1 more source

AI‐Cinema: A Hybrid Framework for Arabic Movie Scenario Generation With Traditional Storytelling and Cultural Dialogs

open access: yesComplexity, Volume 2026, Issue 1, 2026.
AI‐Cinema is a hybrid neural‐symbolic framework addressing the critical challenge of preserving cultural authenticity in Arabic movie scenario generation. The framework integrates transformer‐based neural language models (AraT5‐base and AraGPT2‐medium) with symbolic reasoning encoded in OWL‐DL ontologies and SWRL rules to ensure linguistic fluency ...
Mossab Ibrahim   +3 more
wiley   +1 more source

The 2 × 2 contingency table for change in the leadership of a synset.

open access: yes, 2019
The 2 × 2 contingency table for change in the leadership of a synset.
Peter D. Turney (6270041)   +1 more
core   +1 more source

Building an Arabic Sentiment Lexicon Using Semi-supervised Learning

open access: yesJournal of King Saud University: Computer and Information Sciences, 2014
Sentiment analysis is the process of determining a predefined sentiment from text written in a natural language with respect to the entity to which it is referring. A number of lexical resources are available to facilitate this task in English.
Fawaz H.H. Mahyoub   +2 more
doaj   +1 more source

From Speech Semantics to Brain Activity—Timescales Are Key in Their Information Transfer

open access: yesHuman Brain Mapping, Volume 46, Issue 16, November 2025.
We analyzed sentence similarity (SBERT) and word depth (WordNet) from the HCP 7 T MOVIE2_HO1.mp4 using dynamic ACW analysis. Brain activity in A1, TA2, and PSL regions was similarly analyzed. Transfer Entropy measured the information flow between semantic and brain timescales.
Saket Kumar   +5 more
wiley   +1 more source

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