Results 61 to 70 of about 38,226 (255)
Medical WordNet: A new methodology for the construction and validation of information resources for consumer health [PDF]
, 2004 A consumer health information system must be able to comprehend both expert and non-expert medical vocabulary and to map between the two. We describe an ongoing project to create a new lexical database called Medical WordNet (MWN), consisting ...
Fellbaum, Christiane, Smith, Barry
core
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
Persian Wordnet Construction using Supervised Learning
International Journal of Information and Communication Technology Research, 2017 This paper presents an automated supervised method for Persian wordnet construction. Using a Persian corpus and a bi-lingual dictionary, the initial links between Persian words and Princeton WordNet synsets have been generated.
Zahra Mousavi +2 more
doaj
A proposal for a shallow ontologization of WordNet [PDF]
, 2005 En este artículo se presenta el trabajo que se está realizando para la llamada ontologización superficial de WordNet, una estructura orientada a superar muchos de los problemas estructurales de la popular base de conocimiento léxico.
Atserias Batalla, Jordi +2 more
core
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
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
Omni Geometry Representation Learning Versus Large Language Models for Geospatial Entity Resolution
Transactions in GIS, Volume 30, Issue 1, February 2026.ABSTRACT The development, integration, and maintenance of geospatial databases rely heavily on efficient and accurate matching procedures of Geospatial Entity Resolution (ER). While resolution of points‐of‐interest (POIs) has been widely addressed, resolution of entities with diverse geometries has been largely overlooked.
Kalana Wijegunarathna +2 more
wiley +1 more source
Advanced Intelligent Systems, Volume 8, Issue 1, January 2026.This study presents BiT‐HyMLPKANClassifier, a novel hybrid deep learning framework for automated human peripheral blood cell classification. Model combines Big Transfer models with multilayer perceptron and efficient Kolmogorov–Arnold Network architectures, achieving over 97% accuracy.
Ömer Miraç KÖKÇAM, Ferhat UÇAR
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
A New WordNet Enriched Content-Collaborative Recommender System [PDF]
, 2022 Payam Bohrani +4 more
openalex +1 more source