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Chapter and Conference Paper
Exploring Portuguese Word Embeddings for Discovering Lexical-Semantic Relations
Word2vec-like word embeddings are known for kee** linguistic regularities and thus good for solving analogies. Following this, we explore such embeddings for Portuguese in the discovery of lexical-semantic ...
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Chapter and Conference Paper
Leveraging on Semantic Textual Similarity for Develo** a Portuguese Dialogue System
We describe an IR-based dialogue system that, in order to match user interactions with FAQs on a list, leverages on a model for computing the semantic similarity between two fragments of Portuguese text. It w...
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Chapter and Conference Paper
Towards the Improvement of a Topic Model with Semantic Knowledge
Although typically used in classic topic models, surface words cannot represent meaning on their own. Consequently, redundancy is common in those topics, which may, for instance, include synonyms. To face this...