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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 Page: 1 2 Hits 1 – 20 of 21 1 Named Entity Recognition with Long Short-Term Memory James Hammerton Alfa-Informatica; James Hammerton In: http://cnts.uia.ac.be/conll2003/ps/17275ham.ps.gz (2003) BASE Show details 2 Shallow Parsing with PoS Taggers and Linguistic Features Beáta Megyesi; James Hammerton; Miles Osborne... In: http://www.ai.mit.edu/projects/jmlr/papers/volume2/megyesi02a/megyesi02a.pdf (2002) BASE Show details 3 Memory-Based Shallow Parsing Erik F. Tjong Kim Sang; James Hammerton; Miles Osborne... In: http://cnts.uia.ac.be/cnts/papers/./ps/20020417.4146.jmlr2002.ps (2002) BASE Show details 4 Memory-based Shallow Parsing Erik F. Tjong Kim Sang; James Hammerton; Miles Osborne... In: http://jmlr.csail.mit.edu/papers/volume2/tks02a/tks02a.pdf (2002) BASE Show details 5 Journal of Machine Learning Research 2 (2002) 669--693 Submitted 9/01; Published 3/02 Learning Rules and Their Exceptions Herve Dejean Herve; James Hammerton; Miles Osborne... In: http://lcg-www.uia.ac.be/lcg/texts/./ps/dejean.jmlr2002.ps.gz (2002) BASE Show details 6 Learning rules and their exceptions Hervé Déjean; James Hammerton; Miles Osborne... In: http://jmlr.csail.mit.edu/papers/volume2/dejean02a/dejean02a.pdf (2002) BASE Show details 7 Shallow Parsing with PoS Taggers and Linguistic Features Beáta Megyesi; James Hammerton; Miles Osborne... In: http://www.jmlr.org/papers/volume2/megyesi02a/megyesi02a.ps.gz (2002) BASE Show details 8 Shallow Parsing with PoS Taggers and Linguistic Features Beáta Megyesi; James Hammerton; Miles Osborne... In: http://www.speech.kth.se/%7Ebea/megyesi02a.ps (2002) BASE Show details 9 Learning computational grammars John Nerbonne; Anja Belz; Nicola Cancedda... In: http://acl.ldc.upenn.edu/W/W01/W01-0712.pdf (2001) BASE Show details 10 Learning Computational Grammars Miles Osborne; Franck Thollardx; Erik Tjong... In: http://staff.science.uva.nl/~erikt/papers/conll2001d.ps.gz (2001) BASE Show details 11 Learning Computational Grammars John Nerbonne; Anja Belz; Nicola Cancedda... In: http://lcg-www.uia.ac.be/lcg/texts/./pdf/nerbonne.conll2001.pdf (2001) BASE Show details 12 Learning computational grammars John Nerbonne; Anja Belz; Nicola Cancedda... In: http://www.cnts.ua.ac.be/papers/2001/conlld01.pdf (2001) BASE Show details 13 Combining a self-organising map with memory-based learning James Hammerton; Erik F. Tjong; Kim Sang In: http://arxiv.org/pdf/cs/0107018v1.pdf (2001) BASE Show details 14 Learning computational grammars John Nerbonne; Anja Belz; Nicola Cancedda... In: http://www.cnts.ua.ac.be/conll2001/pdf/09704ner.pdf (2001) BASE Show details 15 Learning computational grammars John Nerbonne; Anja Belz; Nicola Cancedda... In: http://staff.science.uva.nl/~erikt/papers/conll2001d.pdf (2001) BASE Show details 16 Named Entity Recognition with Long Short-Term Memory James Hammerton Alfa-Informatica In: http://acl.ldc.upenn.edu/W/W03/W03-0426.pdf BASE Show details 17 Combining a self-organising map with memory-based learning James Hammerton; Erik F. Tjong; Kim Sang In: http://www.cnts.ua.ac.be/papers/2001/conll01a.pdf BASE Show details 18 Combining a self-organising map with memory-based learning James Hammerton; Erik F. Tjong; Kim Sang In: http://www.cnts.ua.ac.be/conll2001/pdf/00914ham.pdf BASE Show details 19 Combining a self-organising map with memory-based learning James Hammerton; Erik F. Tjong; Kim Sang In: http://ilps.science.uva.nl/~erikt/papers/conll2001a.pdf BASE Show details 20 Learning Computational Grammars Miles Osborne; Franck Thollardx; Erik Tjong; Kim Sangk; John Nerbonne; Anja Belzy; Nicola Canceddaz; Hervé Déjeanx; James Hammerton; Rob Koelingy; Stasinos Konstantopoulos In: http://grid.let.rug.nl/~nerbonne/papers/learning-com-gram01.pdf Abstract: This paper reports on the LEARNING COMPUTATIONAL GRAMMARS (LCG) project, a postdoc network devoted to studying the application of machine learning techniques to grammars suitable for computational use. We were interested in a more systematic survey to understand the relevance of many factors to the success of learning, esp. the availability of annotated data, the kind of dependencies in the data, and the availability of knowledge bases (grammars). We focused on syntax, esp. noun phrase (NP) syntax. 1 URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.77.9370 http://grid.let.rug.nl/~nerbonne/papers/learning-com-gram01.pdf BASE Hide details Page: 1 2

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