Results 81 to 90 of about 58,551 (288)
Dutch word sense disambiguation [PDF]
We describe a new version of the Dutch word sense disambiguation system trained and tested on a corrected version of the SENSEVAL-2 data. The system is an ensemble of word experts; each word expert is a memory-based classifier of which the parameters are automatically determined through cross-validation on training material.
Hendrickx, Iris +3 more
openaire +4 more sources
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
A compact and flexible wearable force myography sensor based on optical fiber technology detects muscle activity through pressure‐induced light loss. The sensor offers high sensitivity for detecting subtle force and finger motion changes, along with excellent signal stability under dynamic and sweating conditions.
Chongyoung Chung +3 more
wiley +1 more source
A hierarchical multimodal framework coupling a large language model for task decomposition and semantic mapping with a fine‐tuned vision‐language model for semantic perception, enhanced by GridMask, is presented. An aerial‐ground robot team exploits the semantic map for global and local planning.
Haokun Liu +6 more
wiley +1 more source
SensEmBERT: Context-Enhanced Sense Embeddings for Multilingual Word Sense Disambiguation
Contextual representations of words derived by neural language models have proven to effectively encode the subtle distinctions that might occur between different meanings of the same word.
Bianca Scarlini +2 more
semanticscholar +1 more source
Word Sense Disambiguation: Survey Study [PDF]
The process of identifying the correct sense of a given word in a particular sentence is called Word Sense Disambiguation (WSD). It is complex problem because it involves drawing knowledge from various sources. Significant amount of effort has been put into resolving this problem in machine learning since its inception but the toil is still ongoing ...
Ahmed H. Aliwy, Hawraa A. Taher
openaire +1 more source
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
Abstract The trigeminus nerve (cranial nerve V) is a large and significant conduit of sensory information from the face to the brain, with its three branches extending over the head to innervate a wide variety of integumentary sensory receptors, primarily tactile.
Juri A. Miyamae +4 more
wiley +1 more source
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

