FastSense: An Efficient Word Sense Disambiguation Classifier
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Entity LinkingText ClassificationWord Sense DisambiguationSimilar Papers 제목 키워드 기반
One Classifier for All Ambiguous Words: Overcoming Data Sparsity by Utilizing Sense Correlations Across Words
Most supervised word sense disambiguation (WSD) systems build word-specific classifiers by leveraging labeled data. However, when using word-specific classifiers, the sparseness of annotations leads to inferior sense dis…
AllWord EmbeddingsWord Sense DisambiguationUsing BERT for Word Sense Disambiguation
Word Sense Disambiguation (WSD), which aims to identify the correct sense of a given polyseme, is a long-standing problem in NLP. In this paper, we propose to use BERT to extract better polyseme representations for WSD a…
Word Sense DisambiguationWord embeddings and recurrent neural networks based on Long-Short Term Memory nodes in supervised biomedical word sense disambiguation
Word sense disambiguation helps identifying the proper sense of ambiguous words in text. With large terminologies such as the UMLS Metathesaurus ambiguities appear and highly effective disambiguation methods are required…
Word EmbeddingsWord Sense DisambiguationOPI at SemEval 2023 Task 1: Image-Text Embeddings and Multimodal Information Retrieval for Visual Word Sense Disambiguation
The goal of visual word sense disambiguation is to find the image that best matches the provided description of the word's meaning. It is a challenging problem, requiring approaches that combine language and image unders…
Information RetrievalLearning-To-RankRetrievalWord Sense Disambiguation