DocumentCode
2966649
Title
Grammar-Based Automatic Extraction of Definitions
Author
Iftene, Adrian ; Pistol, Ionut ; Trandabat, Diana
Author_Institution
Fac. of Comput. Sci., Al. I. Cuza Univ., Iasi, Romania
fYear
2008
fDate
26-29 Sept. 2008
Firstpage
110
Lastpage
115
Abstract
The paper describes the development and usage of a grammar developed to extract definitions from documents. One of the most important practical usages of the developed grammar is the automatic extraction of definitions from web documents. Three evaluation scenarios were run, the results of these experiments being the main focus of the paper. One scenario uses an e-learning context and previously annotated e-learning documents; the second one involves a large collection of unannotated documents (from Wikipedia) and tries to find answers for definition type questions. The third scenario performs a similar question-answering task, but this time on the entire web using Google web search and the Google Translation Service. The results are convincing, further development as well as further integration of the definition extraction system in various related applications are already under way.
Keywords
Internet; document handling; grammars; information retrieval; natural language processing; Google Translation Service; Google Web search; Web documents; definition extraction; definition type questions; e-learning context; e-learning documents; grammar-based automatic extraction; question-answering task; unannotated documents; Buildings; Computational linguistics; Computer science; Data mining; Dictionaries; Electronic learning; Scientific computing; Semantic Web; Web search; Wikipedia; E-learning; Google Search API; Google Translation Service; Grammar; Question Answering; Wikipedia;
fLanguage
English
Publisher
ieee
Conference_Titel
Symbolic and Numeric Algorithms for Scientific Computing, 2008. SYNASC '08. 10th International Symposium on
Conference_Location
Timisoara
Print_ISBN
978-0-7695-3523-4
Type
conf
DOI
10.1109/SYNASC.2008.12
Filename
5204797
Link To Document