Attribute Value Extraction
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Attribute Value Extraction is the task of extracting values for a given set of attributes of interest from free text input. Attribute value extraction is for example applied in the context of e-commerce where product attribute values are extracted from product offers.
The related task Attribute Mining assume that the target attribute set is unknown, while attribute value extraction assumes that the attribute set is given. Multimodal Attribute Extraction aims at extracting attribute values from multi-modal input such as text plus images.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/gjiaying/hyperpave
공식 코드https://github.com/gjiaying/keaf
공식 코드Knowledge-Enhanced Multi-Label Few-Shot Product Attribute-Value Extraction
https://github.com/google-research-datasets/mave
공식 코드MAVE: A Product Dataset for Multi-source Attribute Value Extraction
https://github.com/jd-aig/JAVE
공식 코드Multimodal Joint Attribute Prediction and Value Extraction for E-commerce Product
https://github.com/wbsg-uni-mannheim/extractgpt
공식 코드ExtractGPT: Exploring the Potential of Large Language Models for Product Attribute Value Extraction
https://github.com/wbsg-uni-mannheim/selfrefinement4extractgpt
공식 코드Automated Self-Refinement and Self-Correction for LLM-based Product Attribute Value Extraction
https://github.com/wbsg-uni-mannheim/wdc-pave
공식 코드Using LLMs for the Extraction and Normalization of Product Attribute Values
https://github.com/xinyangz/oamine
공식 코드OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision
https://github.com/yeliu0930/Knowledge-guided-Open-Attribute-Value-Extraction-with-Reinforcement-Learning
공식 코드Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning
https://github.com/zhongfendeng/ae-smnsmlc
공식 코드https://github.com/zhongfendeng/jpave
공식 코드https://github.com/hackerxiaobai/OpenTag_2019
https://github.com/lumiqai/UOI-1806.01264
https://github.com/zooomg/m-jave-pytorch
Multimodal Joint Attribute Prediction and Value Extraction for E-commerce Product
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.