Results 191 to 200 of about 83,914 (327)
Winged horses, rascals and discourse referents
Abstract This paper discusses some remarks Kaplan made in ‘Bob and Carol and Ted and Alice’ concerning empty names. I show how his objections to a particular view involving descriptions derived from Ramsification can be avoided by a nearby alternative framed in terms of discourse reference.
Andreas Stokke
wiley +1 more source
Interactive medical word sense disambiguation through informed learning. [PDF]
Wang Y, Zheng K, Xu H, Mei Q.
europepmc +1 more source
PageRank on semantic networks, with application to word sense disambiguation [PDF]
Rada Mihalcea+2 more
openalex +1 more source
Knowledge-Based Biomedical Word Sense Disambiguation with Neural Concept Embeddings [PDF]
Sabbir A, Jimeno-Yepes A, Kavuluru R.
europepmc +1 more source
Exploring automatic word sense disambiguation with decision lists and the Web
Eneko Agirre, David Martínez
openalex +2 more sources
Using triangulation to identify word senses
Word sense disambiguation is the task of determining which sense of a word is intended from its context. Previous methods have found the lack of training data and the restrictiveness of dictionaries' choices of senses to be major stumbling blocks.
Mitchell, Richard+2 more
core +1 more source
Extending the Architecture of Language From a Multimodal Perspective
Abstract Language is inherently multimodal. In spoken languages, combined spoken and visual signals (e.g., co‐speech gestures) are an integral part of linguistic structure and language representation. This requires an extension of the parallel architecture, which needs to include the visual signals concomitant to speech. We present the evidence for the
Peter Hagoort, Aslı Özyürek
wiley +1 more source
Naive Bayes and Exemplar-Based approaches to Word Sense Disambiguation Revisited
Gerard Escudero+2 more
openalex +2 more sources
Word-sense disambiguation for machine translation [PDF]
David Vickrey+3 more
openalex +1 more source
Play in Cognitive Development: From Rational Constructivism to Predictive Processing
Abstract It is widely believed that play and curiosity are key ingredients as children develop models of the world. There is also an emerging consensus that children are Bayesian learners who combine their structured prior beliefs with estimations of the likelihood of new evidence to infer the most probable model of the world.
Marc M. Andersen, Julian Kiverstein
wiley +1 more source