Modeling Text Similarity with Parse Thickets | Zendy

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Modeling Text Similarity with Parse Thickets

Author(s) -

Fedor Strok

Publication year - 2014

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2014.05.354

Subject(s) - computer science , parsing , natural language processing , sentence , artificial intelligence , similarity (geometry) , representation (politics) , generalization , word (group theory) , projection (relational algebra) , parse tree , information retrieval , linguistics , algorithm , mathematics , image (mathematics) , mathematical analysis , philosophy , politics , political science , law

Parse thickets provide extensive descriptive representation of text information, based on structure of paragraphs of text. This technique widely uses additional information in terms of inter-sentence word-word relations, such as same entity. It benefits from Rhetoric Structure theory and Speech act theory. Pattern Structures is generalization of Formal Concept Analysis to complex descriptions. Construction of pattern structure on Parse thickets can be very computationally difficult, thus projection technique is used to overcome it

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