Results 171 to 180 of about 2,548,691 (245)
Word sense disambiguation in the clinical domain: a comparison of knowledge-rich and knowledge-poor unsupervised methods. [PDF]
J Am Med Inform Assoc, 2014 Chasin R +3 more
europepmc +1 more source
, 2007 We present comparative empirical evidence arguing that a generalized phrase sense disambiguation approach better improves statistical machine translation than ordinary word sense disambiguation, along with a data analysis suggesting the reasons for this.
WU, Dekai
core
Developmental Neurobiology, Volume 86, Issue 4, October 2026.ABSTRACT Individuals with fetal alcohol spectrum disorders exhibit impaired auditory processing and atypical auditory behaviors across the disorder's spectrum. Although low to moderate prenatal alcohol exposure (PAE) is a prevalent type of exposure, the developmental trajectory of auditory processing deficits resulting from this level of exposure ...
Michael Douchey +3 more
wiley +1 more source
Entity Linking meets Word Sense Disambiguation: a Unified Approach
Transactions of the Association for Computational Linguistics, 2021 Andrea Moro +2 more
doaj +1 more source
, 2007 We present comparative empirical evidence arguing that a generalized phrase sense disambiguation approach better improves statistical machine translation than ordinary word sense disambiguation, along with a data analysis suggesting the reasons for this.
Marine Carpuat, Dekai Wu
core
Methods in Ecology and Evolution, Volume 17, Issue 10, Page 3006-3018, October 2026.Abstract Hundreds of thousands of peer‐reviewed articles and grey‐literature reports appear each year in ecology and conservation, creating a pressing need for scalable synthesis tools. We demonstrate that transformer‐based Large Language Models (LLMs), when embedded within a practical, expert‐in‐the‐loop pipeline, offer a reliable path forward ...
Sruthi M. Krishna Moorthy +4 more
wiley +1 more source
Collocation analysis for UMLS knowledge-based word sense disambiguation. [PDF]
BMC Bioinformatics, 2011 Jimeno-Yepes A, McInnes BT, Aronson AR.
europepmc +1 more source
Factors Influencing the Emergence of Dependency Length Minimization in Neural Agent Simulations
Cognitive Science, Volume 50, Issue 10, October 2026.Abstract Given various grammatical options, language users prefer the word order choice that reduces the overall length of syntactic dependencies, a principle known as dependency length minimization (DLM). The origins of this preference remain an open question, particularly whether it originates from constraints on efficient information processing ...
Yuqing Zhang +3 more
wiley +1 more source
Exploiting domain information for Word Sense Disambiguation of medical documents. [PDF]
J Am Med Inform Assoc, 2012 Stevenson M +3 more
europepmc +1 more source
From SAM 1 to SAM 3: Benchmarking Zero‐Shot Cross‐Domain Medical Image Segmentation
Expert Systems, Volume 43, Issue 10, October 2026.ABSTRACT Segmentation models have demonstrated significant potential in medical image segmentation. However, there is currently a lack of systematic, cross‐generation comparative evaluations to assess whether the iterations from SAM1 to SAM 3 can effectively enhance the clinical applicability of zero‐shot segmentation. To address this issue, this paper
Shujun Lv +5 more
wiley +1 more source