Papers with web mining
Automotive Document Labeling Using Large Language Models (2025.emnlp-industry)
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| Challenge: | Traditionally, mechanics manually browse lengthy documents to locate component information, a process that is time-consuming and error-prone. |
| Approach: | They propose to use large language models to enrich and unify a component database and use hybrid search to select the most relevant component for a document. |
| Outcome: | The proposed method outperforms baselines based on an expert-annotated dataset and significantly reduces the search space and improves retrieval efficiency. |
Knowledge Enhanced Reflection Generation for Counseling Dialogues (2022.acl-long)
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| Challenge: | Using retrieval and generative methods, we generate responses using commonsense and domain knowledge. |
| Approach: | They propose a pipeline that collects domain knowledge through web mining and a model that incorporates knowledge generated by COMET using soft positional encoding and masked self-attention. |
| Outcome: | The proposed pipeline collects domain knowledge through web mining and incorporates knowledge generated by COMET using soft positional encoding and masked self-attention. |
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. |