Try to substitute: An unsupervised chinese word sense disambiguation method based on hownet
Word sense disambiguation (WSD) is a fundamental natural language processing task.
Unsupervised knowledge-based WSD only relies on a lexical knowledge base as the sense …
Unsupervised knowledge-based WSD only relies on a lexical knowledge base as the sense …
Enhanced unsupervised neural machine translation by cross lingual sense embedding and filtered back-translation for morphological and endangered Indic …
The fast growth of communication technology has brought nations and their cultures closer
together, and the demand for cross-language communication has risen tremendously. There …
together, and the demand for cross-language communication has risen tremendously. There …
Attention-based Stacked Bidirectional Long Short-term Memory Model for Word Sense Disambiguation
Y Sun, J Platoš - ACM Transactions on Asian and Low-Resource …, 2023 - dl.acm.org
Word sense disambiguation is a basic task in Natural Language Processing which aims to
identify the most appropriate sense of ambiguous words in different contexts by applying …
identify the most appropriate sense of ambiguous words in different contexts by applying …
Unsupervised Semantic Association Learning with Latent Label Inference
In this paper, we unify a diverse set of learning tasks in NLP, semantic retrieval and related
areas, under a common umbrella, which we call unsupervised semantic association …
areas, under a common umbrella, which we call unsupervised semantic association …