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This research aims to enhance multilingual Word Sense Disambiguation by creating a large-scale multilingual knowledge base. It seeks to develop novel algorithms for cross-lingual disambiguation, addressing the challenges of semantic processing across multiple languages.
In the information society the language barrier represents one of the main obstacles to the automatic use, integration and manipulation of knowledge, and this is manifested in the lack of intelligent systems able to perform unified semantic processing of textual resources in a multitude of different languages.
To create such systems, a necessary step is to assign the appropriate meanings to the words in documents, a task referred to as Word Sense Disambiguation (WSD).
But while WSD is typically…
UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
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