Summary of Farfetched: Entity-centric Reasoning and Claim Validation For the Greek Language Based on Textually Represented Environments, by Dimitris Papadopoulos et al.
FarFetched: Entity-centric Reasoning and Claim Validation for the Greek Language based on Textually Represented Environments
by Dimitris Papadopoulos, Katerina Metropoulou, Nikolaos Matsatsinis, Nikolaos Papadakis
First submitted to arxiv on: 13 Jul 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper introduces FarFetched, a system for automated claim validation using aggregated evidence from multiple online news sources. The approach relies on an entity-centric reasoning framework that reveals latent connections between events, actions, or statements through entity mentions and graph databases. Entity linking and semantic similarity are used to collect and combine information from diverse sources, generating evidence relevant to the user’s claim. Textual entailment recognition is then employed to quantitatively determine credibility based on the created evidence. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps us make sense of all the online information by automatically checking if what we read is true or not. It uses special techniques to find connections between different pieces of news and combine them to support or reject a claim. The system can even recognize when one piece of news follows logically from another. This research aims to fill a gap in this area for languages that don’t have many resources, with the Greek language being tested. |
Keywords
» Artificial intelligence » Entity linking
