MixPAVE: Mix-prompt tuning for few-shot product attribute value extraction
The task of product attribute value extraction is to identify values of an attribute from product
information. Product attributes are important features, which help improve online shopping …
information. Product attributes are important features, which help improve online shopping …
Pay attention to implicit attribute values: a multi-modal generative framework for AVE task
Abstract Attribute Value Extraction (AVE) boosts many e-commerce platform services such
as targeted recommendation, product retrieval and question answering. Most previous …
as targeted recommendation, product retrieval and question answering. Most previous …
Smartave: Structured multimodal transformer for product attribute value extraction
Automatic product attribute value extraction refers to the task of identifying values of an
attribute from the product information. Product attributes are essential in improving online …
attribute from the product information. Product attributes are essential in improving online …
AtTGen: Attribute tree generation for real-world attribute joint extraction
Attribute extraction aims to identify attribute names and the corresponding values from
descriptive texts, which is the foundation for extensive downstream applications such as …
descriptive texts, which is the foundation for extensive downstream applications such as …
Using llms for the extraction and normalization of product attribute values
A Brinkmann, N Baumann, C Bizer - arXiv preprint arXiv:2403.02130, 2024 - arxiv.org
Product offers on e-commerce websites often consist of a product title and a textual product
description. In order to enable features such as faceted product search or to generate …
description. In order to enable features such as faceted product search or to generate …
Exploring large language models for product attribute value identification
Product attribute value identification (PAVI) involves automatically identifying attributes and
their values from product information, enabling features like product search …
their values from product information, enabling features like product search …
A unified generative approach to product attribute-value identification
Product attribute-value identification (PAVI) has been studied to link products on e-
commerce sites with their attribute values (eg,< Material, Cotton>) using product text as …
commerce sites with their attribute values (eg,< Material, Cotton>) using product text as …
Using LLMs for the extraction and normalization of product attribute values
A Brinkmann, N Baumann, C Bizer - European Conference on Advances …, 2024 - Springer
Product offers on e-commerce websites often consist of a product title and a textual product
description. In order to enable features such as faceted product search or to generate …
description. In order to enable features such as faceted product search or to generate …
Extreme multi-label classification with label masking for product attribute value extraction
Although most studies have treated attribute value extraction (AVE) as named entity
recognition, these approaches are not practical in real-world e-commerce platforms because …
recognition, these approaches are not practical in real-world e-commerce platforms because …
PUMGPT: A Large Vision-Language Model for Product Understanding
Recent developments of multi-modal large language models have demonstrated its strong
ability in solving vision-language tasks. In this paper, we focus on the product understanding …
ability in solving vision-language tasks. In this paper, we focus on the product understanding …