Results 61 to 70 of about 35,804 (208)
The data-driven Bulgarian WordNet: BTBWN
Cognitive Studies | Études cognitives, 2018 The data-driven Bulgarian WordNet: BTBWN The paper presents our work towards the simultaneous creation of a data-driven WordNet for Bulgarian and a manually annotated treebank with semantic information.
Petya Osenova, Kiril Simov
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Distributional Measures of Semantic Distance: A Survey [PDF]
, 2012 The ability to mimic human notions of semantic distance has widespread applications. Some measures rely only on raw text (distributional measures) and some rely on knowledge sources such as WordNet.
Hirst, Graeme, Mohammad, Saif M.
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Semantic Grounding Strategies for Tagbased Recommender Systems
, 2011 Recommender systems usually operate on similarities between recommended items or users. Tag based recommender systems utilize similarities on tags. The tags are however mostly free user entered phrases.
Dolog, Peter, Durao, Frederico
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The semantic classification of adjectives in the Bulgarian Wordnet: Towards a multiclass approach
Cognitive Studies | Études cognitives, 2018 The semantic classification of adjectives in the Bulgarian Wordnet: Towards a multiclass approach The paper presents an attempt at semantic classification of adjectives in the Bulgarian wordnet.
Tsvetana Dimitrova, Valentina Stefanova
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AI and Measurement Concerns: Dealing with Imbalanced Data in Autoscoring
Journal of Educational Measurement, Volume 63, Issue 1, Spring 2026.Abstract Unbiasedness for proficiency estimates is important for autoscoring engines since the outcome might be used for future learning or placement. Imbalanced training data may lead to certain biases and lower the prediction accuracy for classification algorithms.
Yunting Liu +3 more
wiley +1 more source
Size Matters: The Impact of Training Size in Taxonomically-Enriched Word Embeddings
Open Computer Science, 2019 Word embeddings trained on natural corpora (e.g., newspaper collections, Wikipedia or the Web) excel in capturing thematic similarity (“topical relatedness”) on word pairs such as ‘coffee’ and ‘cup’ or ’bus’ and ‘road’.
Maldonado Alfredo +2 more
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Grouping Synonyms by Definitions [PDF]
, 2009 We present a method for grouping the synonyms of a lemma according to its dictionary senses. The senses are defined by a large machine readable dictionary for French, the TLFi (Tr\'esor de la langue fran\c{c}aise informatis\'e) and the synonyms are given
Falk, Ingrid +3 more
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Communications 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.
openaire +6 more sources
Cognitive Science, Volume 50, Issue 2, February 2026.Abstract Thick terms like “courageous,” “smart,” and “tasty” combine description and evaluation, contrasting with purely evaluative terms like “good” and “bad,” and descriptive terms like “Italian” and “green.” Thick terms intuitively constitute a special class of evaluative language; but we currently do not know whether the psycholinguistic effects of
Giovanni Cassani, Matteo Colombo
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LanguagesSpecialized languages can activate different sets of semantic features when compared to general language or express concepts through different words according to the domain.
Chiara Barbero, Raquel Amaro
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