Results 151 to 160 of about 11,186 (294)
Aligning statistical models with inference goals in the neuroscience of language: A dual-dependency taxonomy. [PDF]
Bouton S +5 more
europepmc +1 more source
GENDEROUS: Machine Translation and Cross-Linguistic Evaluation of a Gender-Ambiguous Dataset
Association for Computational Linguistics 2025 +3 more
openalex +1 more source
A Guide to Key Decision Criteria for Likert‐Scale Use in Survey Research
ABSTRACT Although widely used in survey research, the application of the Likert scale often lacks rigorous justification in relation to key methodological decisions. Furthermore, inconsistencies in terminology persist, for example, the common reference made to the “5‐point Likert scale,” even though debate is ongoing about the optimal number of ...
Khan Md Raziuddin Taufique +2 more
wiley +1 more source
The Geometry of Language: Understanding LLMs in Bioethics. [PDF]
Astobiza AM.
europepmc +1 more source
Abstract Background Accurate periodontal disease diagnosis is essential for optimal treatment planning and patient care. However, variability in applying the 2017 Periodontal Classification may affect diagnostic reliability and treatment outcomes. This study investigated diagnostic accuracy and consistency among periodontists, periodontal residents ...
Arwa Badahdah +8 more
wiley +1 more source
Pahari POS-tagged corpus: A large-scale linguistic resource for NLP applications. [PDF]
Gardazi NM, Malik MK, Daud A.
europepmc +1 more source
Linguistic Ambiguity as a Resource for Humour
El objetivo de este Trabajo de Fin de Grado (TFG) es explicar el origen del término ambigüedad, y lo que significa. Para ello, se tratará la diferencia entre ambigüedad y vaguedad, junto con la explicación de las diferencias entre ambigüedad, calambur y juegos de palabras, para clarificar así lo que es realmente la ambigüedad lingüística.
openaire +1 more source
Benchmarking Large Language Models for Polymer Property Predictions
Large language models (LLMs) are fine‐tuned on polymer thermal property datasets to directly predict glass transition, melting, and decomposition temperatures from SMILES inputs. Compared to state‐of‐the‐art models such as Polymer Genome, polyGNN, and polyBERT, LLMs achieve competitive yet lower accuracy.
Sonakshi Gupta +3 more
wiley +1 more source
An intelligent framework combining deep learning and fuzzy logic for accurate remote language translation. [PDF]
Geng C.
europepmc +1 more source
Ambiguity-generating devices in linguistic verbal jokes
Unpublished paper, written in 1996. The paper argues that ambiguity is a desirable and purposeful element of linguistic verbal jokes and explains and illustrates the mechanisms which support ambiguity.
openaire +1 more source

