Papers with frame induction methods

2 papers
Semantic Frame Induction from a Real-World Corpus (2025.acl-srw)

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Challenge: Existing studies on semantic frame induction have demonstrated that pre-trained language models (PLMs) have led to more accurate results.
Approach: They conduct semantic frame induction using the Colossal Clean Crawled Corpus and assess the applicability of existing frame inducing methods to real-world data.
Outcome: The proposed methods outperform existing methods on real-world data and can induce frames corresponding to novel concepts.
FrameEOL: Semantic Frame Induction using Causal Language Models (2025.findings-emnlp)

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Challenge: Semantic frame induction is the task of clustering frame-evoking words according to the semantic frames they evoke.
Approach: They propose a prompt-based method for obtaining Frame Embeddings that outputs One frame-name as a Label .
Outcome: The proposed method outperforms existing methods on English and Japanese datasets.

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