Papers with frame induction
Verb Alternations and Their Impact on Frame Induction (N18-4)
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| Challenge: | Frame induction is the automatic creation of frame-semantic resources similar to FrameNet or PropBank, which map lexical units of a language to frame representations of each lexical unit’s semantics. |
| Approach: | They propose to use frames to map lexical units to frame representations of each lexical unit's semantics. |
| Outcome: | The proposed framework compares the semantics of alternating verbs and their similarities and differences. |
Semantic Frame Induction with Deep Metric Learning (2023.eacl-main)
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| Challenge: | Recent studies have shown the usefulness of contextualized word embeddings in semantic frame induction, but they are not always consistent with human intuitions about semantic frames. |
| Approach: | They propose a model that fine-tunes contextualized embeddings to perform semantic frame induction. |
| Outcome: | The proposed model improves clustering evaluation scores on FrameNet by 8 points or more. |
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. |