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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 3 Hits 21 – 40 of 53 21 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 22 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 23 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 24 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 25 Learning computational grammars John Nerbonne; Anja Belz; Nicola Cancedda... In: http://acl.ldc.upenn.edu/W/W01/W01-0712.pdf (2001) BASE Show details 26 Learning Computational Grammars Miles Osborne; Franck Thollardx; Erik Tjong... In: http://staff.science.uva.nl/~erikt/papers/conll2001d.ps.gz (2001) BASE Show details 27 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 28 Learning computational grammars John Nerbonne; Anja Belz; Nicola Cancedda... In: http://www.cnts.ua.ac.be/papers/2001/conlld01.pdf (2001) BASE Show details 29 Learning computational grammars John Nerbonne; Anja Belz; Nicola Cancedda... In: http://www.cnts.ua.ac.be/conll2001/pdf/09704ner.pdf (2001) BASE Show details 30 Learning computational grammars John Nerbonne; Anja Belz; Nicola Cancedda... In: http://staff.science.uva.nl/~erikt/papers/conll2001d.pdf (2001) BASE Show details 31 Estimation of stochastic attribute-value grammars using an informative sample Miles Osborne; Rijksuniversiteit Groningen In: http://arxiv.org/pdf/cs/0008024v1.pdf (2000) BASE Show details 32 Estimation of Stochastic Attribute-Value Grammars using an Informative Sample Miles Osborne; Rijksuniversiteit Groningen In: http://lcg-www.uia.ac.be/lcg/texts/./ps/osborne.coling2000.ps.gz (2000) BASE Show details 33 Estimation of Stochastic Attribute-Value Grammars using an Informative Sample Miles Osborne In: http://acl.ldc.upenn.edu/C/C00/C00-1085.pdf (2000) BASE Show details 34 Overfitting Avoidance for Stochastic Modeling of Attribute-Value Grammars Tony Mullen; Miles Osborne In: http://lcg-www.uia.ac.be/lcg/texts/./ps/osborne.conll2000.ps.gz (2000) BASE Show details 35 Overfitting Avoidance For Stochastic Modeling of . . . Tony Mullen; Miles Osborne In: http://acl.ldc.upenn.edu/W/W00/W00-0709.pdf (2000) BASE Show details 36 MDL-based DCG Induction for NP Identification Miles Osborne In: http://lcg-www.uia.ac.be/lcg/texts/./ps/osborne.conll99.ps.gz (1999) Abstract: We introduce a learner capable of automatically extending large, manually written natural language Definite Clause Grammars with missing syntactic rules. It is based upon the Minimum Description Length principle, and can be trained upon either just raw text, or else raw text additionally annotated with parsed corpora. As a demonstration of the learner, we show how full Noun Phrases (NPs that might contain pre or postmodifying phrases and might also be recursively nested) can be identified in raw text. Preliminary results obtained by varying the amount of syntactic information in the training set suggests that raw text is less useful than additional NP bracketing information. However, using all syntactic information in the training set does not produce a significant improvement over just bracketing information. 1 Introduction Identification of Noun Phrases (NPs) in free text has been tackled in a number of ways (for example, [25, 9, 2]). Usually however, only relatively simple NPs, su. URL: http://lcg-www.uia.ac.be/lcg/texts/./ps/osborne.conll99.ps.gz http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.41.1212 BASE Hide details 37 MDL-based DCG Induction for NP Identification Miles Osborne In: http://www.cogsci.ed.ac.uk/~osborne/np.ps (1999) BASE Show details 38 DCG Induction using MDL and Parsed Corpora Miles Osborne In: http://www.cs.york.ac.uk/mlg/lll/workshop/proceedings/Osborne/Osborne.ps.gz (1999) BASE Show details 39 MDL-based DCG Induction for NP Identification Miles Osborne In: http://acl.ldc.upenn.edu/W/W99/W99-0708.pdf (1999) BASE Show details 40 Can Punctuation Help Learning? Miles Osborne In: ftp://ftp.cs.york.ac.uk/pub/miles/osborne.ps (1996) BASE Show details Page: 1 2 3

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