Results 161 to 170 of about 2,548,688 (244)
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
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
Collocation analysis for UMLS knowledge-based word sense disambiguation. [PDF]
BMC Bioinformatics, 2011 Jimeno-Yepes A, McInnes BT, Aronson AR.
europepmc +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
Knowledge-based biomedical word sense disambiguation: an evaluation and application to clinical document classification. [PDF]
J Am Med Inform Assoc, 2013 Garla VN, Brandt C.
europepmc +1 more source
The Noisy Channel Model for Unsupervised Word Sense Disambiguation
Computational Linguistics, 2021 Deniz Yuret, Mehmet Ali Yatbaz
doaj +1 more source
Exploiting MeSH indexing in MEDLINE to generate a data set for word sense disambiguation. [PDF]
BMC Bioinformatics, 2011 Jimeno-Yepes AJ, McInnes BT, Aronson AR.
europepmc +1 more source