Intelligent Extraction of Knowledge Structures from Natural Language Texts

A semantic linguistic processor which extracts the objects and their links from natural language texts is considered. It is intended for the areas where the automatic formalization of the flows of texts in natural language is required. Peculiarities of the texts are taken into account by linguistic...

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Vydáno v:2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Ročník 3; s. 269 - 272
Hlavní autoři: Kuznetsov, I. P., Kozerenko, E. B., Matskevich, A. G.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.08.2011
Témata:
Conferences
data extraction
Intelligent agents
knowledge engineering
linguistic processor
natural language
semantics
ISBN:9781457713736, 145771373X
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Shrnutí:A semantic linguistic processor which extracts the objects and their links from natural language texts is considered. It is intended for the areas where the automatic formalization of the flows of texts in natural language is required. Peculiarities of the texts are taken into account by linguistic knowledge of the processor: the system can be tuned to various subject areas. We describe the use of this processor for text formalization in different subject areas, such as criminology (summary of incidents, accusatory conclusions, etc.), mass media (documents about terrorist activities), personnel management (autobiographies, resume). Special features of each problem area are examined: the collections of extracted objects, the means for their identification, their connections, occurring contractions, punctuation and special signs, specific character of language constructions, etc. - all these special features were taken into account in the linguistic knowledge development.
ISBN:9781457713736
145771373X
DOI:10.1109/WI-IAT.2011.235