A Linguistic-Based Method for Automatically Extracting Spatial Relations from Large Non-Structured Data
Pages 193 - 200
Abstract
This paper presents a Lexicon-Grammar based method for automatic extraction of spatial relations from Italian non-structured data. We used the software Nooj to build sophisticated local grammars and electronic dictionaries associated with the lexicon-grammar classes of the Italian intransitive spatial verbs (i.e. 234 verbal entries) and we applied them to the Italian text Il Codice da Vinci (‘The Da Vinci Code’, by Dan Brown) in order to parse the spatial predicate-arguments structures. In addition, Nooj allowed us to automatically annotate (in XML format) the words (or the sequence of words) that in each sentence (S) of the text play the ‘spatial roles’ of Figure (F), Motion (M) and Ground (G). Finally the results of the experiment and the evaluation of this method will be discussed.
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Published In
Dec 2013
262 pages
ISBN:978-3-319-03888-9
DOI:10.1007/978-3-319-03889-6
© Springer International Publishing Switzerland 2013.
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Published: 18 December 2013
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