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FactCheck Editor: Multilingual Text Editor with End-to-End fact-checking

1 Pith paper cite this work. Polarity classification is still indexing.

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abstract

We introduce 'FactCheck Editor', an advanced text editor designed to automate fact-checking and correct factual inaccuracies. Given the widespread issue of misinformation, often a result of unintentional mistakes by content creators, our tool aims to address this challenge. It supports over 90 languages and utilizes transformer models to assist humans in the labor-intensive process of fact verification. This demonstration showcases a complete workflow that detects text claims in need of verification, generates relevant search engine queries, and retrieves appropriate documents from the web. It employs Natural Language Inference (NLI) to predict the veracity of claims and uses LLMs to summarize the evidence and suggest textual revisions to correct any errors in the text. Additionally, the effectiveness of models used in claim detection and veracity assessment is evaluated across multiple languages.

fields

cs.CL 1

years

2024 1

verdicts

CONDITIONAL 1

representative citing papers

DTELS: Towards Dynamic Granularity of Timeline Summarization

cs.CL · 2024-11-14 · conditional · novelty 7.0

A new dynamic-granularity timeline summarization benchmark with event-atom metrics shows LLM-based methods beat earlier TLS baselines yet still struggle with informativeness and granularity consistency.

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Showing 1 of 1 citing paper.

  • DTELS: Towards Dynamic Granularity of Timeline Summarization cs.CL · 2024-11-14 · conditional · none · ref 2022 · internal anchor

    A new dynamic-granularity timeline summarization benchmark with event-atom metrics shows LLM-based methods beat earlier TLS baselines yet still struggle with informativeness and granularity consistency.