The Project Dialogism Novel Corpus: A Dataset for Quotation Attribution in Literary Texts
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Abstract (arXiv)
We present the Project Dialogism Novel Corpus, or PDNC, an annotated dataset of quotations for English literary texts. PDNC contains annotations for 35,978 quotations across 22 full-length novels, and is by an order of magnitude the largest corpus of its kind. Each quotation is annotated for the speaker, addressees, type of quotation, referring expression, and character mentions within the quotation text. The annotated attributes allow for a comprehensive evaluation of models of quotation attribution and coreference for literary texts.
Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). Builds on 4 of its 31 references that are in the map. First posted on arXiv 12 Apr 2022.
Builds on
4 of 31 references.
References · 4
- 2013Crowdsourcing a Word-Emotion Association Lexiconcited by 196
- 2019An Annotated Dataset of Coreference in English Literaturecited by 58
- 2021The Topic Confusion Task: A Novel Scenario for Authorship Attributioncited by 17
- 2020Measuring Information Propagation in Literary Social Networkscited by 15
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Citing papers per year: 2023: 2; 2024: 5; 2025: 1; 2026: 5.
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- 2023Personality Understanding of Fictional Characters during Book Readingcited by 20
- 2024The Emotion Dynamics of Literary Novelscited by 12
- 2023Improving Automatic Quotation Attribution in Literary Novelscited by 9
- 2024Evaluating LLMs for Quotation Attribution in Literary Texts: A Case Study of LLaMa3cited by 8
- 2024Distinguishing Fictional Voices: a Study of Authorship Verification Models for Quotation Attributioncited by 4
- 2025The Elephant in the Coreference Room: Resolving Coreference in Full-Length French Fiction Workscited by 4
- 2024Improving Quotation Attribution with Fictional Character Embeddingscited by 3
- 2026GraphLit: Learning Text-Enriched Dynamic Character Network Representations for Literary Studycited by 1
- 2024Identifying Speakers and Addressees of Quotations in Novels with Prompt Learningcited by 0
- 2026Text-to-Stage: Spatial Layouts from Long-form Narrativescited by 0
- 2026Attribution Bias in Large Language Modelscited by 0
- 2026Overcoming Copyright Barriers in Corpus Distribution Through Non-Reversible Hashingcited by 0
1 more
- 2026Fast and Accurate Quotation Attribution in Literary Texts3 Aug 2026
- 2026GraphLit: Learning Text-Enriched Dynamic Character Network Representations for Literary Study27 May 2026
- 2026Overcoming Copyright Barriers in Corpus Distribution Through Non-Reversible Hashing25 Apr 2026
- 2026Attribution Bias in Large Language Models6 Apr 2026
- 2026Text-to-Stage: Spatial Layouts from Long-form Narratives18 Mar 2026
- 2025The Elephant in the Coreference Room: Resolving Coreference in Full-Length French Fiction Works17 Oct 2025
- 2024Identifying Speakers and Addressees of Quotations in Novels with Prompt Learning18 Aug 2024
- 2024Evaluating LLMs for Quotation Attribution in Literary Texts: A Case Study of LLaMa317 Jun 2024
- 2024Improving Quotation Attribution with Fictional Character Embeddings17 Jun 2024
- 2024The Emotion Dynamics of Literary Novels4 Mar 2024
- 2024Distinguishing Fictional Voices: a Study of Authorship Verification Models for Quotation Attribution30 Jan 2024
- 2023Improving Automatic Quotation Attribution in Literary Novels7 Jul 2023
1 more
- 2026Text-to-Stage: Spatial Layouts from Long-form Narrativescited by 0
- 2026Text-to-Stage: Spatial Layouts from Long-form Narratives18 Mar 2026
- 2023Personality Understanding of Fictional Characters during Book Readingcited by 20
- 2024The Emotion Dynamics of Literary Novelscited by 12
- 2023Improving Automatic Quotation Attribution in Literary Novelscited by 9
- 2024Evaluating LLMs for Quotation Attribution in Literary Texts: A Case Study of LLaMa3cited by 8
- 2024Distinguishing Fictional Voices: a Study of Authorship Verification Models for Quotation Attributioncited by 4
- 2025The Elephant in the Coreference Room: Resolving Coreference in Full-Length French Fiction Workscited by 4
- 2024Improving Quotation Attribution with Fictional Character Embeddingscited by 3
- 2026GraphLit: Learning Text-Enriched Dynamic Character Network Representations for Literary Studycited by 1
- 2024Identifying Speakers and Addressees of Quotations in Novels with Prompt Learningcited by 0
- 2026Attribution Bias in Large Language Modelscited by 0
- 2026Overcoming Copyright Barriers in Corpus Distribution Through Non-Reversible Hashingcited by 0
- 2026Fast and Accurate Quotation Attribution in Literary Textscited by 0
- 2026Fast and Accurate Quotation Attribution in Literary Texts3 Aug 2026
- 2026GraphLit: Learning Text-Enriched Dynamic Character Network Representations for Literary Study27 May 2026
- 2026Overcoming Copyright Barriers in Corpus Distribution Through Non-Reversible Hashing25 Apr 2026
- 2026Attribution Bias in Large Language Models6 Apr 2026
- 2025The Elephant in the Coreference Room: Resolving Coreference in Full-Length French Fiction Works17 Oct 2025
- 2024Identifying Speakers and Addressees of Quotations in Novels with Prompt Learning18 Aug 2024
- 2024Evaluating LLMs for Quotation Attribution in Literary Texts: A Case Study of LLaMa317 Jun 2024
- 2024Improving Quotation Attribution with Fictional Character Embeddings17 Jun 2024
- 2024The Emotion Dynamics of Literary Novels4 Mar 2024
- 2024Distinguishing Fictional Voices: a Study of Authorship Verification Models for Quotation Attribution30 Jan 2024
- 2023Improving Automatic Quotation Attribution in Literary Novels7 Jul 2023
- 2023Personality Understanding of Fictional Characters during Book Reading17 May 2023