Knowledge graphs (KGs) have rapidly emerged as an important area in AI over the last ten
years. Building on a storied tradition of graphs in the AI community, a KG may be simply …

Structure information extraction refers to the task of extracting structured text fields from web
pages, such as extracting a product offer from a shop** page including product title …

While pre-trained language models (eg, BERT) have achieved impressive results on
different natural language processing tasks, they have large numbers of parameters and …

Information Extraction (IE) for semi-structured document images is often approached as a
sequence tagging problem by classifying each recognized input token into one of the IOB …

Multimodal pre-training with text, layout, and image has made significant progress for
Visually Rich Document Understanding (VRDU), especially the fixed-layout documents such …

Many data extraction tasks of practical relevance require not only syntactic pattern matching
but also semantic reasoning about the content of the underlying text. While regular …

HTML documents are an important medium for disseminating information on the Web for
human consumption. An HTML document presents information in multiple text formats …

There has been a steady need to precisely extract structured knowledge from the web (ie
HTML documents). Given a web page, extracting a structured object along with various …

In this paper, we propose a new technique based on program synthesis for extracting
information from webpages. Given a natural language query and a few labeled webpages …

Web information extraction (WIE) is a fundamental problem in web document understanding,
with a significant impact on various applications. Visual information plays a crucial role in …