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Enhancing Modern Supervised Word Sense Disambiguation Models by Semantic Lexical Resources
Supervised models for Word Sense Disambiguation (WSD) currently yield to state-of-the-art results in the most popular benchmarks.
Neural paraphrasing by automatically crawled and aligned sentence pairs
In this paper we present a method for the automatic generation of large aligned corpora, that is based on the assumption that news and blog websites talk about the same events using different narrative styles.
A novel integrated industrial approach with cobots in the age of industry 4.0 through conversational interaction and computer vision
From robots that replace workers to robots that serve as helpful colleagues, the field of robotic automation is experiencing a new trend that represents a huge challenge for component manufacturers.
An energy-based comparative analysis of common approaches to text classification in the Legal domain
Most Machine Learning research evaluates the best solutions in terms of performance.
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