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SemEval task 4: Narrative Story Similarity and Narrative Representation Learning

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SemEval-2026 Task 4: Narrative Story Similarity and Narrative Representation Learning

Task Description

The participants are asked to identify narratively similar stories. The narrative similarity is defined by three core similarity components: the abstract theme, the course of action, and the outcomes of a story.
We primarily focus on tackling Track A, where the system gets a triple consisting of an anchor story and two choices: A and B. The system is asked to identify which of the two choices is more similar.
More information can be found on the Website of Task4

Dataset

SemEval2026-Task_4-sample-v1: Sample data (39 items)
SemEval2026-Task_4-dev-v1: Development data (200 items, we developed our methods using this dataset)
SemEval2026-Task_4-test-v1: Test data (400 items)

Repository map

trackAcode: Our code for Track A
papers_and_feedback: Our draft, the feedback from the SemEval community, and our camera-ready paper
results: Sample output

Group members

Yue Yu, Wanzhao Zhang

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SemEval task 4: Narrative Story Similarity and Narrative Representation Learning

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