Information Extraction (IE) is the procedure of transforming unstructured data into structured
formats. IE is vital to many document intelligence applications and has high potential in …

Obtaining accurate information about products in a fast and efficient way is becoming
increasingly important at Cisco as the related documentation rapidly grows. Thanks to recent …

Automating information extraction from form-like documents at scale is a pressing need due
to its potential impact on automating business workflows across many industries like …

Document information extraction tasks performed by humans create data consisting of a
PDF or document image input, and extracted string outputs. This end-to-end data is naturally …

Abstract Information extraction from semi-structured documents is crucial for frictionless
business-to-business (B2B) communication. While machine learning problems related to …

Extracting key information from documents, such as receipts or invoices, and preserving the
interested texts to structured data is crucial in the document-intensive streamline processes …

This article focuses on information extraction in historical handwritten marriage records.
Traditional approaches rely on a sequential pipeline of two consecutive tasks: handwriting …

Large language models (LLMs), such as GPT-3 and ChatGPT, have demonstrated
remarkable results in various natural language processing (NLP) tasks with in-context …

Every day, an uncountable amount of documents are received and processed by companies
worldwide. In an effort to reduce the cost of processing each document, the largest …

Information Extraction by Text Segmentation (IETS) aims at segmenting text inputs to extract
implicit data values contained in them. The state-of-art IETS approaches mainly rely on …