See this document in CiteSeerX!

Learning Computational Grammars (2001)  (Make Corrections)  (1 citation)
John Nerbonne, Anja Belz, Nicola Cancedda, Hervé Déjean, James Hammerton, Rob Koeling, Stasinos Konstantopoulos, Miles Osborne, Franck Thollard, Erik Tjong Kim Sang



  Home/Search   Context   Related

 
View or download:
cnts.ua.ac.be/lcg/...onne.conll2001.pdf
Cached:  PS.gz  PS  PDF   Image  Update  Help

From:  iit.demokritos.gr/~konsta...index (more)
(Enter author homepages)

Rate this article: (best)
  Comment on this article  
(Enter summary)

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... (Update)

Context of citations to this paper:   More

.... corpora has developed the utilisation of Machine Learning techniques in Natural Language Processing (Wermter et al. 1996) (Nerbonne and Osborne, 1999). Generally annotated corpora are used as training data and then the learning system is evaluated with test data. In this...

Cited by:   More
How to Evaluate and Compare Tagsets? A Proposal - Dejean (2000)   (Correct)

Similar documents (at the sentence level):
8.5%:   Learning Computational Grammars - John Nerbonne Anja (2001)   (Correct)
5.4%:   Applying System Combination to Base Noun Phrase.. - Sang, Daelemans.. (2000)   (Correct)

Active bibliography (related documents):   More   All
0.7:   Learning Computational Grammars - 3rd Annual Report - Nerbonne (2001)   (Correct)
0.5:   Chunking with Support Vector Machines - Kudo, Matsumoto (2001)   (Correct)
0.4:   Shallow Parsing using Probabilistic Grammatical Inference - Thollard, Clark (2002)   (Correct)

Similar documents based on text:
0.0:   Unknown -   (Correct)

BibTeX entry:   (Update)

Nerbonne, John and Miles Osborne, 1999. Learning computational grammars. Technical report, TMR Project Nr. ERBFMRXCT980237, 1st Year Report. http://citeseer.ist.psu.edu/article/nerbonne01learning.html   More

@misc{ john99learning,
  author = "N. John and M. Osborne",
  title = "Learning computational grammars",
  text = "Nerbonne, John and Miles Osborne, 1999. Learning computational grammars.
    Technical report, TMR Project Nr. ERBFMRXCT980237, 1st Year Report.",
  year = "1999",
  url = "citeseer.ist.psu.edu/article/nerbonne01learning.html" }
Citations (may not include all citations):
475   Building a large annotated corpus of English: the Penn Treeb.. - Marcus, Santorini et al. - 1993
281   Programs for Machine Learning (context) - Quinlan - 1993
213   A Maximum Entropy Approach to Natural Language Processing - Berger, DellaPietra et al. - 1996
137   Machine Learning Research: Four Current Directions - Dietterich - 1997
99   A Maximum-Entropy-Inspired Parser - Charniak - 2000
91   Text Chunking Using Transformation-Based Learning - Ramshaw, Marcus - 1995
76   A Stochastic Parts Program and Noun Phrase Parser for Unrest.. (context) - Church - 1988
44   Machine Learning (context) - Mitchell - 1997
41   Forgetting Exceptions is Harmful in Language Learning - Daelemans, van den Bosch et al. - 1999
19   Improving data driven wordclass tagging by system combinatio.. - van Halteren, Zavrel et al. - 1998
13   Introduction to the CoNLL-2000 Shared Task: Chunking (context) - Kim, Sabine - 2000
13   Shallow Parsing as Part-of-Speech Tagging - Osborne - 2000
13   Maximum entropy modeling with clausal constraints - Dehaspe - 1997
12   Use of Support Vector Learning for Chunk Identification - Kudoh, Matsumoto - 2000
9   Noun Phrase Recognition by System Combination - Kim - 2000
9   Text Chunking by System Combination - Kim - 2000
9   Chunking with Maximum Entropy Models - Koeling - 2000
7   Applying System Combination to Base Noun Phrase Identificati.. - Kim, Walter et al. - 2000
6   Estimation of Stochastic AttributeValue Grammars using an In.. - Osborne - 2000
5   MDL-based DCG Induction for NP Identification - Osborne - 1999
4   Improving Probabilistic Grammatical Inference Core Algorithm.. (context) - Thollard - 2001
3   Optimisation of corpus-derived probabilistic grammars - Belz - 2001
3   DCG Induction using MDL and Parsed Corpora - Osborne - 1999
3   Learning Syntactic Structures with XML - Dejean - 2000
3   NP Chunking using ILP - Konstantopoulos - 1999
3   Computational Approaches to Language Acquisition (context) - Brent - 1997
3   Data-Oriented Language Processing (context) - Bod, Scha - 1997
2   Discriminative Reranking for Natural Language Processing (context) - Collins - 2000
2   Theory Refinement and Natural Language Learning - Dejean - 2000
2   Corpusbased Grammar Specialization (context) - Cancedda, Samuelsson - 2000
2   A Use of XML for Machine Learning (context) - Dejean - 2000
2   Combining a self-organising map with memory-based learning - Hammerton, Kim - 2001

Documents on the same site (http://www.iit.demokritos.gr/~konstant/dload/Pubs/index.html):   More
A Morphological Analyser for Scottish Gaelic - Konstantopoulos (1998)   (Correct)
A Data-Parallel Version of Aleph - Konstantopoulos (2003)   (Correct)
SHARE-ODS: An Ontology Data Service for Search and.. - Konstantopoulos.. (2006)   (Correct)

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC