Product attributes are crucial for e-commerce platforms, supporting applications like search,
recommendation, and question answering. The task of Product Attribute and Value …

Information extraction, eg, attribute value extraction, has been extensively studied and
formulated based only on text. However, many attributes can benefit from image-based …

The availability of high quality training data is still a bottleneck for the practical utilization of
information extraction models, despite the breakthroughs in zero and few-shot learning …

Product attribute extraction is an emerging field in information extraction and e-commerce,
with applications including knowledge base construction, product recommendation, and …

Information Extraction refers to a collection of tasks within Natural Language Processing
(NLP) that identifies sub-sequences within text and their labels. These tasks have been used …

Abstract Attribute Value Extraction (AVE) aims to retrieve the values of attributes from the
product profiles. The state-of-the-art methods tackle the AVE task through a question …

Many eCommerce platforms source product information from millions of sellers and
manufactures, each having their own proprietary schemas, and employ schema matching …

Extracting product information is crucial for informed business decisions and strategic
planning across multiple industries. However, recent methods relying only on large …

Identifying event trigger words and classifying event types known as the event detection task
is a fundamental step for extracting event-related knowledge from textual sources. Examples …

The rapid advancement of artificial intelligence (AI) has unlocked new opportunities for
enhancing healthcare. However, the heterogeneity and complexity of healthcare data …