Results 71 to 80 of about 36,682 (258)
, 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 ...
Arcan, Mihael +2 more
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Integrating WordNet and Wiktionary with lemon [PDF]
, 2012 Nowadays, there is a significant quantity of linguistic data available on the Web. However, linguistic resources are often published using proprietary formats and, as such, it can be difficult to interface with one another and they end up confined in “data silos”.
McCrae, John +5 more
openaire +3 more sources
Development of Punjabi WordNet [PDF]
CSI Transactions on ICT, 2013 Natural language processing (NLP) tasks such as word sense disambiguation, machine translation (MT) and part-of-speech tagging etc. require large scale lexical resources. These lexical resources have already been developed for digitally advanced languages, such as English, but yet to be developed for widely spoken but digitally young languages, such as
Parteek Kumar +2 more
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Journal of Neuropsychology, Volume 19, Issue 3, Page 541-558, September 2025.Abstract This study used fMRI to examine the effect that the abstract‐concrete dimension may have on the thematic‐taxonomic distinction. The dual hub theory (DHT) posits that left angular gyrus supports thematic relationships and left temporal pole supports taxonomic relationships; however, the DHT is largely based on evidence from concrete words.
Jacquelyn F. Stochel +1 more
wiley +1 more source
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
doaj +1 more source
Syntactic Patterns in Croatian WordNet
Journal of Computing and Information Technology, 2010 The paper presents the detection of syntactic patterns in the Croatian WordNet synset definitions. The detection was performed in order to create unambiguous and consistent synset definitions in the future development of the Croatian WordNet. The rules are implemented in form of finite-state transducers and tested on already existing version of the ...
Šojat, Krešimir, Bekavac, Božo
openaire +5 more sources
Prerequisite Relations Annotation Tool: Annotation and analysis of educational relations in texts
Journal of the Association for Information Science and Technology, Volume 76, Issue 7, Page 1006-1027, July 2025.Abstract Relations between terms in texts have long been studied in linguistics and specialized knowledge domains, especially when occurring in educational materials like textbooks, where they play a crucial role in guiding instructional design and learning.
Chiara Alzetta, Ilaria Torre
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
doaj +1 more source
Sentiment Analysis‐Based Model for Monitoring User Engagement With Mental Health Chatbots
Engineering Reports, Volume 7, Issue 6, June 2025.Analyzing 82 102 mental health chatbot reviews, this study found Stochastic Gradient Descent with 93% accuracy as it best classified user sentiment, revealing reliability and content as engagement drivers. Sentiment analysis enhances chatbot design for better mental health support.
Ian Igado Mmbayi +2 more
wiley +1 more source
Intelligent Systems in Accounting, Finance and Management, Volume 32, Issue 2, June 2025.ABSTRACT This study explores the wealth of information inherent in online employee reviews as an emerging resource in academic research. The focus is on the fields of finance, accounting, economics, and management, with an emphasis on how employee reviews contribute to our understanding of these areas.
Nils Gimpl
wiley +1 more source