Papers with zero-shot relation extraction

2 papers
Towards Zero-shot Relation Extraction in Web Mining: A Multimodal Approach with Relative XML Path (2023.findings-emnlp)

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Challenge: Existing methods for zero-shot relation extraction do not take into account relationships between text nodes within and across web pages.
Approach: They propose a new approach for zero-shot relation extraction in web mining that encodes the shortest relative paths in the Document Object Model tree of the web page.
Outcome: The proposed method outperforms the state-of-the-art methods on public benchmarks on semi-structured web pages.
RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction (2023.acl-long)

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Challenge: Existing methods for zero-shot relation extraction lack explicit modeling of matching pattern . et al. (2018) show that our method achieves higher matching accuracy and faster inference speed .
Approach: They propose a fine-grained semantic matching method tailored for zero-shot relation extraction . they decompose sentence-level similarity score into entity matching score and context matching score .
Outcome: The proposed method achieves higher matching accuracy and faster inference speed than state-of-the-art methods.

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