mlsanityData to 7 Oct 2026

NewsQuote: A Dataset Built on Quote Extraction and Attribution for Expert Recommendation in Fact-Checking

arXiv 2305.04825 ↗First posted 5 May 2023cs.IR cs.HC cs.LGcited by 0

Not on the map. Why?

Abstract (arXiv)

To enhance the ability to find credible evidence in news articles, we propose a novel task of expert recommendation, which aims to identify trustworthy experts on a specific news topic. To achieve the aim, we describe the construction of a novel NewsQuote dataset consisting of 24,031 quote-speaker pairs that appeared on a COVID-19 news corpus. We demonstrate an automatic pipeline for speaker and quote extraction via a BERT-based Question Answering model. Then, we formulate expert recommendations as document retrieval task by retrieving relevant quotes first as an intermediate step for expert identification, and expert retrieval by directly retrieving sources based on the probability of a query conditional on a candidate expert. Experimental results on NewsQuote show that document retrieval is more effective in identifying relevant experts for a given news topic compared to expert retrieval

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 11 of its 33 references that are in the map. First posted on arXiv 5 May 2023.

Builds on

11 of 33 references.

References · 11

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2016SQuAD: 100,000+ Questions for Machine Comprehension of Textcited by 4,115
  3. 2021A Survey on Automated Fact-Checkingcited by 376
  4. 2019Simple BERT Models for Relation Extraction and Semantic Role Labelingcited by 154
  5. 2021Automated Fact-Checking: A Surveycited by 55
  6. 2021DirectQuote: A Dataset for Direct Quotation Extraction and Attribution in News Articlescited by 10
  7. 2023Some Observations on Fact-Checking Work with Implications for Computational Supportcited by 9
  8. 2022Expert Finding in Legal Community Question Answeringcited by 5
  9. 2018Expert Finding in Community Question Answering: A Reviewcited by 3
  10. 2019Neural Duplicate Question Detection without Labeled Training Datacited by 3
  11. 2023PANACEA: An Automated Misinformation Detection System on COVID-19cited by 3

Built on by

Not cited yet.