VerbAtlas is now out!

We are proud to announce that VerbAtlas 1.0 (http://verbatlas.org) is finally available for download. Developed at the Sapienza NLP group, the multilingual Natural Language Processing group at the Sapienza University of Rome, VerbAtlas is a novel large-scale manually-crafted semantic resource for wide-coverage, intelligible and scalable Semantic Role Labeling. The goal of VerbAtlas is to manually cluster WordNet synsets that share similar semantics into a set of semantically-coherent frames.

The main features are:

• Full coverage of WordNet 3.0 verb synsets (13,000+).
• Complete linkage to BabelNet 4.0, which supports 280+ languages.
• Manual mapping to PropBank of all CoNLL-2009 and CoNLL-2012 dataset occurrences (5000+ mappings).
• 467 semantically-coherent frames using 26 cross-frame semantic roles for their argument structure.
• Selectional preferences: the superconcept most probably associated with a semantic role in a frame (e.g. food for the patient role of the EAT frame).
• Default/Shadow arguments: arguments logically implied or already incorporated in a verb.
• Implicit arguments: arguments that are implicit in the argument structure of a verb.

And much more! Please check out our EMNLP 2019 paper “VerbAtlas: a Novel Large-Scale Verbal Semantic Resource and Its Application to Semantic Role Labeling” or http://verbatlas.org for more details!

A state-of-the-art span-based SRL system which uses VerbAtlas and PropBank jointly is also available from the same website.

VerbAtlas is an output of the MOUSSE ERC Consolidator Grant n. 726487. Babelscape proudly developed the online interface and API, and provides the infrastructure for maintaining the service.

Kind regards,
The Sapienza NLP group