MTA: A Lightweight Multilingual Text Alignment Model for Cross-Language Visual Word Sense Disambiguation
Author:
Affiliation:
1. South China Normal University,School of Computer Science,Guangzhou,China
2. Jinan University,College of Chinese Language and Culture,Guangzhou,China
3. Hong Kong Metropolitan University,School of Science and Technology,Hong Kong
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447455.pdf?arnumber=10447455
Reference17 articles.
1. Recent Trends in Word Sense Disambiguation: A Survey
2. SemEval-2013 task 12: Multilingual word sense disambiguation;Navigli
3. SemEval-2015 Task 13: Multilingual All-Words Sense Disambiguation and Entity Linking
4. Breaking Through the 80% Glass Ceiling: Raising the State of the Art in Word Sense Disambiguation by Incorporating Knowledge Graph Information
5. SemEval-2023 Task 1: Visual Word Sense Disambiguation
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