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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 9 of 9 1 Learning computational grammars John Nerbonne; Anja Belz; Nicola Cancedda... In: http://acl.ldc.upenn.edu/W/W01/W01-0712.pdf (2001) BASE Show details 2 Learning Computational Grammars Miles Osborne; Franck Thollardx; Erik Tjong... In: http://staff.science.uva.nl/~erikt/papers/conll2001d.ps.gz (2001) BASE Show details 3 Learning computational grammars John Nerbonne; Anja Belz; Nicola Cancedda... In: http://www.cnts.ua.ac.be/papers/2001/conlld01.pdf (2001) BASE Show details 4 Learning computational grammars John Nerbonne; Anja Belz; Nicola Cancedda... In: http://www.cnts.ua.ac.be/conll2001/pdf/09704ner.pdf (2001) BASE Show details 5 Learning computational grammars John Nerbonne; Anja Belz; Nicola Cancedda... In: http://staff.science.uva.nl/~erikt/papers/conll2001d.pdf (2001) BASE Show details 6 Learning Computational Grammars Miles Osborne; Franck Thollardx; Erik Tjong... In: http://grid.let.rug.nl/~nerbonne/papers/learning-com-gram01.pdf BASE Show details 7 Learning Computational Grammars Miles Osborne; Franck Thollardx; Erik Tjong... In: http://www.let.rug.nl/~nerbonne/papers/learning-com-gram01.ps BASE Show details 8 Computational Linguistics and History of Science John Kizito; Ismail Fahmi; Erik Tjong; Kim Sang; John Nerbonne; Gosse Bouma In: http://staff.science.uva.nl/~erikt/papers/sslc2009.pdf Abstract: We present computational linguistics techniques which can help researchers dealing with the increasing amount of available digital text, focusing on potential use in the history of science. We examine two tasks: automatically extracting terms from documents and identifying relations between the terms. We show that the two tasks can be performed reliably and fast, and that new terms and relations can be identified automatically. 1 URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.157.7419 http://staff.science.uva.nl/~erikt/papers/sslc2009.pdf BASE Hide details 9 Computational Linguistics and History of Science John Kizito; Ismail Fahmi; Erik Tjong... In: http://odur.let.rug.nl/~nerbonne/papers/kizito-et-al-inf-ext-hist-science-2008.pdf BASE Show details

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