FACTS.lab
@factslab.bsky.social
The Formal and Computational Semantics Lab at the University of Rochester. http://factslab.io
Reposted by FACTS.lab
New paper on cross-document argument extraction: given a report (e.g. a wikipedia article) and an event described in that report, identify a source also describing that event + do doc-level argument extraction on both report and source.
Paper: doi.org/10.48550/arX...
Data: github.com/FACTSlab/FAMuS
Paper: doi.org/10.48550/arX...
Data: github.com/FACTSlab/FAMuS
November 13, 2023 at 11:40 AM
New paper on cross-document argument extraction: given a report (e.g. a wikipedia article) and an event described in that report, identify a source also describing that event + do doc-level argument extraction on both report and source.
Paper: doi.org/10.48550/arX...
Data: github.com/FACTSlab/FAMuS
Paper: doi.org/10.48550/arX...
Data: github.com/FACTSlab/FAMuS
Come join the FACTS.lab next year!
I'm looking to bring on ≥1 fully-funded PhD student next year who's interested in working on computational models for inducing full-fledged logical forms from inference judgment datasets, with the aim of quantitatively comparing semantic theories in terms of their representational assumptions.
October 2, 2023 at 11:54 AM
Come join the FACTS.lab next year!
