Results 51 to 60 of about 29,791 (235)
Chinese Word Sense Disambiguation using a LSTM
Word sense disambiguation (WSD) is a challenging natural language processing (NLP) problem. We propose a new strategy for WSD, which at first replaces the interesting word in a sentence by the different synonyms corresponding to the different meanings ...
Sun Xue-Ren +3 more
doaj +1 more source
TWE‐WSD: An effective topical word embedding based word sense disambiguation
Word embedding has been widely used in word sense disambiguation (WSD) and many other tasks in recent years for it can well represent the semantics of words.
Lianyin Jia +5 more
doaj +1 more source
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh +4 more
wiley +1 more source
Evaluation of Linguistic Features for Word Sense Disambiguation with Self-Organized Document Maps [PDF]
Word sense disambiguation automatically determines the appropriate senses of a word in context. We have previously shown that self-organized document maps have properties similar to a large-scale semantic structure that is useful for word sense ...
Linden, Krister
core +1 more source
Utterance evolution: the road to generative, combinatorial communicators
ABSTRACT Language has long been considered uniquely complex in the animal kingdom; however, animal research over the last decade has begun to challenge some long‐standing premises about exactly which language capacities are uniquely human. The task of resolving why and how complex communication systems evolve, particularly human language, has ...
Catherine Crockford +2 more
wiley +1 more source
DETERMINING EFFECTIVE FEATURES FOR WORD SENSE DISAMBIGUATION IN TURKISH
Word sense disambiguation is necessary or at least helpful for many natural language processing applications. This paper deals with the feature selection strategies for word sense disambiguation task in general for all types of words in Turkish language.
Zeynep ORHAN, Zeynep ALTAN
doaj +2 more sources
From Word Alignment to Word Senses, via Multilingual Wordnets [PDF]
Most of the successful commercial applications in language processing (text and/or speech) dispense with any explicit concern on semantics, with the usual motivations stemming from the computational high costs required for dealing with semantics, in case
Dan Tufis
doaj
A review of word-sense disambiguation methods and algorithms: Introduction
The word-sense disambiguation task is a classification task, where the goal is to predict the meaning of words and phrases with the help of surrounding text.
Tatiana Kaushinis +14 more
doaj +1 more source
Multi-feature Word Sense Disambiguation Based on Dependency Parsing Analysis [PDF]
Word Sense Disambiguation(WSD) plays an important role in machine translation,information retrieval and speech semantic recognition.In order to improve the quality of disambiguation and refine the feature,a multi-feature granularity WSD scheme is ...
SHI Zhaopeng,ZOU Xuxi,XIANG Runzhao
doaj +1 more source
Do Linking‐Expression Substitutions Mitigate Deterministic Interpretations of Genetic Information?
ABSTRACT It is a common concern that broader audiences interpret scientific information about the genetic correlates and causes of complex human traits in an overly deterministic manner. A frequently proposed way to address this issue is to carefully select the linking expressions used to describe gene–trait relationships when communicating genetic ...
Riin Kõiv
wiley +1 more source

