Papers by Federico Scozzafava

3 papers
Personalized PageRank with Syntagmatic Information for Multilingual Word Sense Disambiguation (2020.acl-demos)

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Challenge: SyntagRank is a knowledge-based WSD system that exploits syntagmatic information to perform state-of-the-art knowledge-driven WSD in a multilingual setting.
Approach: They propose to exploit syntagmatic information to perform state-of-the-art knowledge-based WSD in a multilingual setting by using a Web interface and a RESTful API.
Outcome: SyntagRank exploits disambiguated pairs of words in SyntagNet to perform state-of-the-art knowledge-based WSD in a multilingual setting.
CluBERT: A Cluster-Based Approach for Learning Sense Distributions in Multiple Languages (2020.acl-main)

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Challenge: Existing methods to induce word senses from raw sentences lack reliable and high-coverage distributions.
Approach: They propose an automatic and multilingual approach to inducing word senses from a corpus of raw sentences using an annotated corpus.
Outcome: The proposed method outperforms all other methods on English and other languages.
SyntagNet: Challenging Supervised Word Sense Disambiguation with Lexical-Semantic Combinations (D19-1)

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Challenge: Current research in knowledge-based Word Sense Disambiguation (WSD) indicates that performances depend heavily on the Lexical Knowledge Base (LKB) employed.
Approach: They propose to use a Lexical Knowledge Base to capture syntagmatic relations to enable knowledge-based WSD systems to achieve a new state of the art.
Outcome: The proposed resource captures syntagmatic relations and is the first large-scale manually-curated resource of this kind made available to the community.

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