System and method of extracting event sentences from documents
OwnerMyung-Eun Lim, Tae Hyun Kim +1inventors
InventorsMyung-Eun Lim, Tae Hyun Kim, Bo-Hyun Yun
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OwnerMyung-Eun Lim, Tae Hyun Kim +1inventors
InventorsMyung-Eun Lim, Tae Hyun Kim, Bo-Hyun Yun
Estimating the term…
Disclosed are a system and method of extracting event sentences from documents. A language processing section 10 performs a morphological analysis and named entity recognition for an input document set. A document-set learning section 20 extracts verb, noun and noun phrase features from the language-processed result, and selects important features and stores them in a database by calculating weights for the respective features. An event sentence extraction section 30 comparatively analyzes the result obtained by language-processing the input document in the language processing section 10 and the result obtained from learning of the document-set learning section 20 to calculate the weights for the respective sentences in the input document and so extract the event sentences depending upon the extracting condition. Therefore, useful data implying the information dependant upon the domain is easily selected and obtained from the document.
A system of extracting event sentences from a document, the system comprising:
A method and system of extracting event sentences from a document, the method comprising the steps of:
The method as claimed in claim 10, wherein the sentence weight calculating step comprising steps of:
Dependencies are inferred from the claim text.