Results 51 to 60 of about 4,868 (229)
Using GPT‐4 to Augment Imbalanced Data for Automatic Scoring
Journal of Educational Measurement, Volume 62, Issue 4, Page 959-995, Winter 2025.Abstract Machine learning‐based automatic scoring faces challenges with imbalanced student responses across scoring categories. To address this, we introduce a novel text data augmentation framework that leverages GPT‐4, a generative large language model specifically tailored for imbalanced datasets in automatic scoring.
Luyang Fang +2 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
Journal of the Association for Information Science and Technology, Volume 76, Issue 11, Page 1470-1487, November 2025.Abstract The classification of research according to its aims has been a longstanding focus in the fields of quantitative science studies and R&D statistics. Since 1963, the Organization for Economic Co‐operation and Development (OECD) has employed a classical distinction among basic, applied, and experimental research.
Mengjia Wu +4 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
doaj +1 more source
English WordNet: A new open-source WordNet for English
K Lexical News 28 37-44, 2020 No ...
McCrae, John P. +2 more
openaire +1 more source
Thematic Analysis of Expert Opinions on the Use of Large Language Models in Software Development
Applied AI Letters, Volume 6, Issue 3, October 2025.ABSTRACT Large Language Models (LLMs) have gained popularity in recent years due to their ability to generate human‐like text and conduct context‐aware conversations in natural languages. This ability can be greatly beneficial for fields like software development, where LLMs can assist with tasks such as code generation, code review, and debugging.
Sargam Yadav +2 more
wiley +1 more source
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
doaj +1 more source
Building an Arabic Sentiment Lexicon Using Semi-supervised Learning
Journal 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
Word Sense Disambiguation using Aggregated Similarity based on WordNet Graph Representation [PDF]
Informatică economică, 2013 The term of word sense disambiguation, WSD, is introduced in the context of text document processing. A knowledge based approach is conducted using WordNet lexical ontology, describing its structure and components used for the process of identification ...
Mădălina ZURINI
doaj +1 more source
Linguistic vs Encyclopaedic Knowledge. Classification of MWEs from Wikipedia Articles
Cybernetics and Information Technologies, 2020 This paper reports on the first steps in the creation of linked data through the mapping between the synsets of BTB-WordNet and the articles in Bulgarian Wikipedia. The task of expanding the BTB-WordNet with encyclopaedic knowledge is done by mapping its
Kancheva Z., Radev I.
doaj +1 more source