Papers with knowledge-driven query expansion
Simple and Effective Knowledge-Driven Query Expansion for QA-Based Product Attribute Extraction (2022.acl-short)
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| Challenge: | Existing approaches to extract value from product data for a large number of attributes are not effective for rare and ambiguous attributes. |
| Approach: | They propose to use attributes as knowledge to expand AVE queries by retrieving possible answers from training data. |
| Outcome: | The proposed model improves on a cleaned version of AliExpress dataset for rare and ambiguous attributes, especially for rare attributes. |