Summary of How to Evaluate Coreference in Literary Texts?, by Ana-isabel Duron-tejedor and Pascal Amsili and Thierry Poibeau
How to Evaluate Coreference in Literary Texts?
by Ana-Isabel Duron-Tejedor, Pascal Amsili, Thierry Poibeau
First submitted to arxiv on: 30 Dec 2023
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper explores the limitations of existing metrics used to evaluate textual coreference in literary analysis, particularly when analyzing novels. The authors argue that a single score cannot fully capture the complexity of this problem and may even be misleading. Instead, they propose a new approach that considers context and distinguishes between long coreference chains (main characters), short ones (secondary characters), and isolated elements (singletons). This novel evaluation method aims to provide more interpretable and informative results. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about how we can better understand the connections between characters in novels. Right now, we use simple metrics to measure these connections, but they don’t tell us everything. The authors of this paper think that’s because these metrics are too general and don’t take into account the specific context of a novel. They propose a new way of evaluating character connections by looking at three different types: long chains (main characters), short ones (secondary characters), and isolated elements (singletons). This new approach will help us get more accurate and helpful results when studying novels. |
Keywords
» Artificial intelligence » Coreference
