Results 71 to 80 of about 82,228 (264)
A word sense disambiguation corpus for Urdu [PDF]
The aim of word sense disambiguation (WSD) is to correctly identify the meaning of a word in context. All natural languages exhibit word sense ambiguities and these are often hard to resolve automatically. Consequently WSD is considered an important problem in natural language processing (NLP).
Saeed, A. +3 more
openaire +4 more sources
Incorporating Glosses into Neural Word Sense Disambiguation [PDF]
Word Sense Disambiguation (WSD) aims to identify the correct meaning of polysemous words in the particular context. Lexical resources like WordNet which are proved to be of great help for WSD in the knowledge-based methods.
Fuli Luo +4 more
semanticscholar +1 more source
Leveraging Word-Formation Knowledge for Chinese Word Sense Disambiguation
In parataxis languages like Chinese, word meanings are constructed using specific wordformations, which can help to disambiguate word senses. However, such knowledge is rarely explored in previous word sense disambiguation (WSD) methods.
Hua Zheng +6 more
semanticscholar +1 more source
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation [PDF]
The success of deep learning methods hinges on the availability of large training datasets annotated for the task of interest. In contrast to human intelligence, these methods lack versatility and struggle to learn and adapt quickly to new tasks, where ...
Nithin Holla +3 more
semanticscholar +1 more source
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
Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison
Word Sense Disambiguation is a long-standing task in Natural Language Processing, lying at the core of human language understanding. However, the evaluation of automatic systems has been problematic, mainly due to the lack of a reliable evaluation ...
Roberto Navigli +2 more
semanticscholar +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
Word Sense Disambiguation: An Overview [PDF]
AbstractWord sense disambiguation is a subfield of computational linguistics in which computer systems are designed to determine the appropriate meaning of a word as it appears in the linguistic context. This article provides a survey of what has been done in this area: the ways that word meaning can be represented in the computer, the approaches taken
openaire +2 more sources
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
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

