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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 Abstract: Memory-based learning (MBL) has enjoyed considerable success in corpus-based natural language processing (NLP) tasks and is thus a reliable method of getting a high-level of performance when building corpus-based NLP systems. However there is a bottleneck in MBL whereby any novel testing item has to be compared against all the training items in memory base. For this reason there has been some interest in various forms of memory editing whereby some method of selecting a subset of the memory base is employed to reduce the number of comparisons. This paper investigates the use of a modified self-organising map (SOM) to select a subset of the memory items for comparison. This method involves reducing the number of comparisons to a value proportional to the square root of the number of training items. The method is tested on the identification of base noun-phrases in the Wall Street Journal corpus, using sections 15 to 18 for training and section 20 for testing. 1 URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.415.2649 http://www.cnts.ua.ac.be/papers/2001/conll01a.pdf BASE Hide 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... In: http://grid.let.rug.nl/~nerbonne/papers/learning-com-gram01.pdf BASE Show details Page: 1 2

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