# DirectQuote: A Dataset for Direct Quotation Extraction and Attribution in News Articles

arXiv: https://arxiv.org/abs/2110.07827 · HTML: https://mlsanity.com/paper/2110.07827/

## Key facts

- Cited by 10 papers in the map (data through 14 Oct 2026).
- Builds on 3 of its 27 references that are in the map.
- First posted on arXiv 15 Oct 2021.

## Builds on (most cited first, 3 of 3)

- [BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://mlsanity.com/paper/1810.04805/) (2018)
- [End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF](https://mlsanity.com/paper/1603.01354/) (2016)
- [Sentiment Analysis in the News](https://mlsanity.com/paper/1309.6202/) (2013)

## Built on by (most cited first, 10 of 10)

- [Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages](https://mlsanity.com/paper/2402.12204/) (2024)
- [Quote Erat Demonstrandum: A Web Interface for Exploring the Quotebank Corpus](https://mlsanity.com/paper/2207.03592/) (2022)
- [SumREN: Summarizing Reported Speech about Events in News](https://mlsanity.com/paper/2212.01146/) (2022)
- [Loci Similes: A Benchmark for Extracting Intertextualities in Latin Literature](https://mlsanity.com/paper/2601.07533/) (2026)
- [CuRIAM: Corpus re Interpretation and Metalanguage in U.S. Supreme Court Opinions](https://mlsanity.com/paper/2305.14719/) (2023)
- [Multi-Layer Ranking with Large Language Models for News Source Recommendation](https://mlsanity.com/paper/2406.11745/) (2024)
- [NewsQuote: A Dataset Built on Quote Extraction and Attribution for Expert Recommendation in Fact-Checking](https://mlsanity.com/paper/2305.04825/) (2023)
- [Dataset of Quotation Attribution in German News Articles](https://mlsanity.com/paper/2404.16764/) (2024)
- [Event-Centric Human Value Understanding in News-Domain Texts: An Actor-Conditioned, Multi-Granularity Benchmark](https://mlsanity.com/paper/2603.17838/) (2026)
- [Attribution Bias in Large Language Models](https://mlsanity.com/paper/2604.05224/) (2026)

## Abstract (arXiv)

Quotation extraction and attribution are challenging tasks, aiming at determining the spans containing quotations and attributing each quotation to the original speaker. Applying this task to news data is highly related to fact-checking, media monitoring and news tracking. Direct quotations are more traceable and informative, and therefore of great significance among different types of quotations. Therefore, this paper introduces DirectQuote, a corpus containing 19,760 paragraphs and 10,279 direct quotations manually annotated from online news media. To the best of our knowledge, this is the largest and most complete corpus that focuses on direct quotations in news texts. We ensure that each speaker in the annotation can be linked to a specific named entity on Wikidata, benefiting various downstream tasks. In addition, for the first time, we propose several sequence labeling models as baseline methods to extract and attribute quotations simultaneously in an end-to-end manner.