Multi-Head Self-Attention Gated-Dilated Convolutional Neural Network for Word Sense Disambiguation

Multi-Head Self-Attention Gated-Dilated Convolutional Neural Network for Word Sense Disambiguation

Word sense disambiguation (WSD) is to determine correct sense of ambiguous word based on its context. WSD is widely used in text classification, machine translation and information retrieval and so on. WSD accuracy is low because disambiguation features can not cover more language phenomenon and the...

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מידע ביבליוגרפי
Main Authors: Chun-Xiang Zhang, Yu-Long Zhang, Xue-Yao Gao
פורמט: Article
שפה:English
יצא לאור: IEEE 2023-01-01
סדרה:IEEE Access
נושאים:
Word sense disambiguation
multi-head self-attention
convolutional neural network
part of speech
semantic category
גישה מקוונת:https://ieeexplore.ieee.org/document/10041152/

אינטרנט

https://ieeexplore.ieee.org/document/10041152/

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