A parallel system for text inference using marker propagations

This paper presents a possible solution for the text inference problem-extracting information unstated in a text, but implied. Text inference is central to natural language applications such as information extraction and dissemination, text understanding, summarization, and translation. Our solution...

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Bibliographic Details
Published in:IEEE transactions on parallel and distributed systems Vol. 9; no. 8; pp. 729 - 747
Main Authors: Harabagiu, S.M., Moldovan, D.I.
Format: Journal Article
Language:English
Published: IEEE 01.08.1998
Subjects:
Computer science
Computer Society
Data mining
Humans
Inference algorithms
Information retrieval
Natural language processing
Natural languages
Parallel processing
Text recognition
ISSN:1045-9219
Online Access:Get full text
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Summary:This paper presents a possible solution for the text inference problem-extracting information unstated in a text, but implied. Text inference is central to natural language applications such as information extraction and dissemination, text understanding, summarization, and translation. Our solution takes advantage of a semantic English dictionary available in electronic form that provides the basis for the development of a large linguistic knowledge base. The inference algorithm consists of a set of highly parallel search methods that, when applied to the knowledge base, find contexts in which sentences are interpreted. These contexts reveal information relevant to the text. Implementation, results, and parallelism analysis are discussed.
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ISSN:1045-9219
DOI:10.1109/71.706046