A Possibilistic Approach for Automatic Word Sense Disambiguation
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Information RetrievalOptical Character Recognition (OCR)Speech RecognitionWord Sense DisambiguationSimilar Papers 제목 키워드 기반
Comparison of Genres in Word Sense Disambiguation using Automatically Generated Text Collections
The best approaches in Word Sense Disambiguation (WSD) are supervised and rely on large amounts of hand-labelled data, which is not always available and costly to create. In our work we describe an approach that is used …
Word Sense DisambiguationEuroSense: Automatic Harvesting of Multilingual Sense Annotations from Parallel Text
Parallel corpora are widely used in a variety of Natural Language Processing tasks, from Machine Translation to cross-lingual Word Sense Disambiguation, where parallel sentences can be exploited to automatically generate…
Entity LinkingMachine TranslationTranslationWord Sense DisambiguationWord Sense Disambiguation for 158 Languages using Word Embeddings Only
Disambiguation of word senses in context is easy for humans, but is a major challenge for automatic approaches. Sophisticated supervised and knowledge-based models were developed to solve this task. However, (i) the inhe…
Word EmbeddingsWord Sense DisambiguationKDSL: a Knowledge-Driven Supervised Learning Framework for Word Sense Disambiguation
We propose KDSL, a new word sense disambiguation (WSD) framework that utilizes knowledge to automatically generate sense-labeled data for supervised learning. First, from WordNet, we automatically construct a semantic kn…
Word Sense Disambiguation