• Refine your search:
  • 
    Keyword:
    
    • Chunking (4)
    • Hidden Markov models (2)
    • Learning Exceptions (2)
    • Maximum entropy learning (2)
    • Natural Language Processing (2)
    • Part-of-speech taggers (2)
    • Rule Induction (2)
    • Shallow parsing (2)
    • Symbolic Learning (2)
    • Transformation-based learning (2)
    •   more
  • 
    Creator / Publisher:
    
    • James Hammerton (15)
    • Miles Osborne (15)
    • The Pennsylvania State University CiteSeerX Archives (15)
    • Stasinos Konstantopoulos (8)
    • Erik Tjong (7)
    • John Nerbonne (7)
    • Susan Armstrong (7)
    • Walter Daelemans (7)
    • Hervé Déjean (6)
    • Anja Belz (5)
    •   more
  • 
    Year
  • 
    Medium
  • 
    Type
  • 
    BLLDB-Access

Search in the Catalogues and Directories

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 – 15 of 15 1 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 2 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 3 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 4 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 5 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 6 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 7 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 8 Learning computational grammars John Nerbonne; Anja Belz; Nicola Cancedda... In: http://acl.ldc.upenn.edu/W/W01/W01-0712.pdf (2001) BASE Show details 9 Learning Computational Grammars Miles Osborne; Franck Thollardx; Erik Tjong... In: http://staff.science.uva.nl/~erikt/papers/conll2001d.ps.gz (2001) BASE Show details 10 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 11 Learning computational grammars John Nerbonne; Anja Belz; Nicola Cancedda... In: http://www.cnts.ua.ac.be/papers/2001/conlld01.pdf (2001) BASE Show details 12 Learning computational grammars John Nerbonne; Anja Belz; Nicola Cancedda... In: http://www.cnts.ua.ac.be/conll2001/pdf/09704ner.pdf (2001) BASE Show details 13 Learning computational grammars John Nerbonne; Anja Belz; Nicola Cancedda... In: http://staff.science.uva.nl/~erikt/papers/conll2001d.pdf (2001) BASE Show details 14 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 15 Learning Computational Grammars Miles Osborne; Franck Thollardx; Erik Tjong... In: http://www.let.rug.nl/~nerbonne/papers/learning-com-gram01.ps BASE Show details

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 0 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 0 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 15 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0