ETRI Develops AI Technology That Understands and Finds Documents Like Humans
Release of Korean Administrative Document Q&A and Paraphrase API
Overcoming the Limits of High-Difficulty Office Documents Previously Inapplicable to AI
[Asia Economy Reporter Eunmo Koo] Domestic researchers have developed technology that can understand documents as intelligently as humans and find the desired information.
The Electronics and Telecommunications Research Institute (ETRI) announced on the 7th that it has developed artificial intelligence (AI) technology that understands questions at a level similar to humans and finds documents containing the requested information.
To find electronic documents, one must search for words included in the post title and file name and then open each document individually, which is inefficient.
The institute developed two types of APIs (interfaces that allow control of functions provided by operating systems or programming languages) that not only search for the desired information but also verify the correct answers and their evidence for users' questions.
First, the "Administrative Document Question Answering (QA) API" technology uses a deep learning language model to recognize paragraphs and tables, providing the correct answer and supporting sentences. For example, if the question "If the business trip expense is under 1 million won, up to which level should approval be obtained?" is entered, it can search documents containing internal regulations such as "If under 1 million won, approval by the department head."
The "Paraphrase Recognition API" technology identifies whether sentences with different forms have the same meaning. The research team trained various types of sentences to solve the robustness problem of existing AI technologies, which fail to correctly recognize semantic relationships when sentences differ slightly.
This technology is publicly available on the ETRI Public AI Open API and Data Service Portal, allowing anyone to easily use it.
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