Papers by Federico Scozzafava
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. |