Papers by Churui Sun

2 papers
A Self-verified Method for Exploring Simile Knowledge from Pre-trained Language Models (2024.lrec-main)

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Challenge: Pre-trained language models (PLMs) have succeeded in natural language processing because they learn generic knowledge from a large corpus.
Approach: They propose a method that allows pre-trained language models to explore simile knowledge from PLMs . they enhance PLM models with a multi-level simile recognition task that evaluates similes aplenty .
Outcome: The proposed method can explore more accurate simile knowledge for PLMs.
I run as fast as a rabbit, can you? A Multilingual Simile Dialogues Datasets (2023.findings-acl)

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Challenge: A simile is a figure of speech that compares two different things via shared properties.
Approach: They propose a multilingual simile dialogue dataset that can be used to study similes in real-life scenarios.
Outcome: The proposed dataset is the largest manually annotated simile dataset and contains both English and Chinese data.

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