Learning to Extract Attribute Value from Product via Question Answering: A Multi-task Approach

Author:

Wang Qifan1,Yang Li1,Kanagal Bhargav1,Sanghai Sumit1,Sivakumar D.1,Shu Bin2,Yu Zac2,Elsas Jon2

Affiliation:

1. Google Research, Mountain View, CA, USA

2. Google, Pittsburgh, PA, USA

Publisher

ACM

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2. Attentive Review Semantics-Aware Recommendation Model for Rating Prediction;Electronics;2024-07-17

3. LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

4. Exploring generative frameworks for product attribute value extraction;Expert Systems with Applications;2024-06

5. KGLink: A Column Type Annotation Method that Combines Knowledge Graph and Pre-Trained Language Model;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

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