Papers by Fabrizio Brignone
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. |
InVeRo-XL: Making Cross-Lingual Semantic Role Labeling Accessible with Intelligible Verbs and Roles (2021.emnlp-demo)
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| Challenge: | InVeRo-XL is an off-the-shelf system capable of annotating text with predicate sense and semantic role labels from 7 predicated-argument structure inventories in more than 40 languages. |
| Approach: | They propose to use RESTful API and Web interface to integrate sentence-level semantics into cross-lingual downstream tasks. |
| Outcome: | The proposed system can annotate text with predicate sense and semantic role labels from 7 predicated-argument structure inventories in more than 40 languages. |
AMuSE-WSD: An All-in-one Multilingual System for Easy Word Sense Disambiguation (2021.emnlp-demo)
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| Challenge: | Word Sense Disambiguation (WSD) is a task of associating a word in context with its most appropriate sense from a predefined sense inventory. |
| Approach: | They propose to use a state-of-the-art neural model to integrate WSD into real-world applications. |
| Outcome: | The proposed system offers high-quality sense information in 40 languages through a state-of-the-art neural model for WSD. |
InVeRo: Making Semantic Role Labeling Accessible with Intelligible Verbs and Roles (2020.emnlp-demos)
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| Challenge: | Semantic Role Labeling (SRL) is dependent on complex linguistic resources and sophisticated neural models, which makes the task difficult to approach for non-experts. |
| Approach: | They propose a platform for semantic role labeling that provides verb sense and semantic role information with an easy to use Web interface and RESTful APIs. |
| Outcome: | The proposed system provides human-readable verb sense and semantic role information with an easy to use Web interface and RESTful APIs. |