Mave: A product dataset for multi-source attribute value extraction
Attribute value extraction refers to the task of identifying values of an attribute of interest from
product information. Product attribute values are essential in many e-commerce scenarios …
product information. Product attribute values are essential in many e-commerce scenarios …
Learning to extract attribute value from product via question answering: A multi-task approach
Attribute value extraction refers to the task of identifying values of an attribute of interest from
product information. It is an important research topic which has been widely studied in e …
product information. It is an important research topic which has been widely studied in e …
Scaling up open tagging from tens to thousands: Comprehension empowered attribute value extraction from product title
Supplementing product information by extracting attribute values from title is a crucial task in
e-Commerce domain. Previous studies treat each attribute only as an entity type and build …
e-Commerce domain. Previous studies treat each attribute only as an entity type and build …
Txtract: Taxonomy-aware knowledge extraction for thousands of product categories
Extracting structured knowledge from product profiles is crucial for various applications in e-
Commerce. State-of-the-art approaches for knowledge extraction were each designed for a …
Commerce. State-of-the-art approaches for knowledge extraction were each designed for a …
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 …
Llm-ensemble: Optimal large language model ensemble method for e-commerce product attribute value extraction
Product attribute value extraction is a pivotal component in Natural Language Processing
(NLP) and the contemporary e-commerce industry. The provision of precise product attribute …
(NLP) and the contemporary e-commerce industry. The provision of precise product attribute …
Jellyfish: Instruction-Tuning Local Large Language Models for Data Preprocessing
This paper explores the utilization of LLMs for data preprocessing (DP), a crucial step in the
data mining pipeline that transforms raw data into a clean format. We instruction-tune local …
data mining pipeline that transforms raw data into a clean format. We instruction-tune local …
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 …
Queaco: Borrowing treasures from weakly-labeled behavior data for query attribute value extraction
We study the problem of query attribute value extraction, which aims to identify named
entities from user queries as diverse surface form attribute values and afterward transform …
entities from user queries as diverse surface form attribute values and afterward transform …
Jellyfish: A large language model for data preprocessing
In this paper, we present Jellyfish, an open-source LLM as a universal task solver for DP.
Built on the Llama 2 13B model, Jellyfish is instruction-tuned with the datasets of several …
Built on the Llama 2 13B model, Jellyfish is instruction-tuned with the datasets of several …