UMBC ebiquity
Understanding Large Documents

Understanding Large Documents

Tim Finin, 10:49am 28 November 2016

business documents

In this week’s ebiquity meeting, Muhammad Mahbubur Rahman will about about his work on understanding large documents, such as business RFPs.

Large Document Understanding

Muhammad Mahbubur Rahman

Up-to-the-minute language understanding approaches are mostly focused on small documents such as newswire articles, blog posts, product reviews and discussion forum entries. Understanding and extracting information from large documents such as legal documents, reports, business opportunities, proposals and technical manuals is still a challenging task. The reason behind this challenge is that the documents may be multi-themed, complex and cover diverse topics.

We aim to automatically identify and classify a document’s sections and subsections, infer their structure and annotate them with semantic labels to understand the semantic structure of a document. This document’s structure understanding will significantly benefit and inform a variety of applications such as information extraction and retrieval, document categorization and clustering, document summarization, fact and relation extraction, text analysis and question answering.


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