52 citations · 83 across the 9 of their papers we have counts for
4 papers · 1 filter
Evidence-based Factual Error Correction
James Thorne, Andreas Vlachos
This paper introduces the task of factual error correction: performing edits to a claim so that the generated rewrite is better supported by evidence. This extends the well-studied…
Neural Databases
James Thorne, Majid Yazdani, Marzieh Saeidi +3
In recent years, neural networks have shown impressive performance gains on long-standing AI problems, and in particular, answering queries from natural language text. These advanc…
KILT: a Benchmark for Knowledge Intensive Language Tasks
Fabio Petroni, Aleksandra Piktus, Angela Fan +10
Challenging problems such as open-domain question answering, fact checking, slot filling and entity linking require access to large, external knowledge sources. While some models d…
Elastic weight consolidation for better bias inoculation
James Thorne, Andreas Vlachos
The biases present in training datasets have been shown to affect models for sentence pair classification tasks such as natural language inference (NLI) and fact verification. Whil…