FAKTA: An Automatic End-to-End Fact Checking System
Moin Nadeem, Wei Fang, Brian Xu, Mitra Mohtarami, James Glass
Abstract
We present FAKTA which is a unified framework that integrates various components of a fact-checking process: document retrieval from media sources with various types of reliability, stance detection of documents with respect to given claims, evidence extraction, and linguistic analysis. FAKTA predicts the factuality of given claims and provides evidence at the document and sentence level to explain its predictions.- Anthology ID:
- N19-4014
- Volume:
- Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations)
- Month:
- June
- Year:
- 2019
- Address:
- Minneapolis, Minnesota
- Venue:
- NAACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 78–83
- Language:
- URL:
- https://aclanthology.org/N19-4014
- DOI:
- 10.18653/v1/N19-4014
- Cite (ACL):
- Moin Nadeem, Wei Fang, Brian Xu, Mitra Mohtarami, and James Glass. 2019. FAKTA: An Automatic End-to-End Fact Checking System. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations), pages 78–83, Minneapolis, Minnesota. Association for Computational Linguistics.
- Cite (Informal):
- FAKTA: An Automatic End-to-End Fact Checking System (Nadeem et al., NAACL 2019)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/N19-4014.pdf
- Data
- FEVER