SYSTEM AND METHOD TO EXTRACT CUSTOMIZED INFORMATION IN NATURAL LANGUAGE TEXT
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United States of America Patent
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Mar 4, 2021
app pub date -
Aug 27, 2020
filing date -
Aug 27, 2019
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Abstract
The present disclosure relates to systems and methods to extract customized keywords and their corresponding values occurring in a given natural language text. The desired keyword or keywords may occur in different forms, synonyms, abbreviations, and spellings. The disclosed automatic extraction method captures the meaning and context of the desired keywords by transforming the extraction problem into a question answering problem together with capturing the context to narrow down the answer to a unique value for a given keyword. A trained model on an existing corpus of text is used to get a value as an answer to the question phrased using the keyword. When the answer is ambiguous, a context model that uses conditional random field (CRF) is used to provide a most likely value.
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