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1
Parser Evaluation: Using a Grammatical Relation Annotation Scheme
In: http://treebank.linguist.jussieu.fr/./pdf/17.pdf (2003)
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2
Robust, Applied Morphological Generation
In: ftp://ftp.cogs.susx.ac.uk/pub/users/johnca/inlg00.ps (2000)
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3
Memory-Based Learning for Article Generation
In: http://lcg-www.uia.ac.be/conll2000/ps/04348min.ps (2000)
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4
Memory-Based Learning for Article Generation
In: http://lingo.stanford.edu/pubs/det-ml.ps.gz (2000)
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5
Memory-Based Learning for Article Generation
In: http://acl.ldc.upenn.edu/W/W00/W00-0708.pdf (2000)
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6
Simplifying Text for Language-Impaired Readers
In: ftp://ftp.cogs.susx.ac.uk/pub/users/johnca/eacl99-pset-final.ps (1999)
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7
Corpus Annotation for Parser Evaluation
In: ftp://ftp.cogs.susx.ac.uk/pub/users/johnca/linc99-final.ps (1999)
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8
Can Subcategorisation Probabilities Help a Statistical Parser?
In: http://acl.ldc.upenn.edu/W/W98/W98-1114.pdf (1998)
Abstract: Research into the automatic acquisition of lexical information from corpora is starting to produce large-scale computational lexicons containing data on the relative frequencies of subcategorisation alternatives for individual verbal predicates. However, the empirical question of whether this type of frequency information can in practice improve the accuracy of a statistical parser has not yet been answered. In this paper we describe an experiment with a widecoverage statistical grammar and parser for English and subcategorisation frequencies acquired from ten million words of text which shows that this information can significantly improve parse accuracy 1 .
Keyword: cam. ac. uk; cl; ejb
URL: http://acl.ldc.upenn.edu/W/W98/W98-1114.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.7987
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9
Practical Simplification of English Newspaper Text to Assist Aphasic Readers
In: http://osiris.sund.ac.uk/~pset/aaai98.ps (1998)
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10
subcategorization probabilities help a statistical parser
In: http://arxiv.org/pdf/cmp-lg/9806013v1.pdf (1998)
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11
A Computational Treatment of Lexical Rules in HPSG as Covariation in Lexical Entries
In: http://ling.osu.edu/~dm/papers/meurers-minnen-97.ps.gz (1997)
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12
A Computational Treatment of HPSG Lexical Rules as Covariation in Lexical Entries
In: http://www.sfs.nphil.uni-tuebingen.de/~dm/LR/comp.ps.gz (1997)
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13
A Computational Treatment of Lexical Rules in HPSG as Covariation in Lexical Entries
In: http://acl.ldc.upenn.edu/J/J97/J97-4003.pdf (1997)
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14
Off-line Constraint Propagation for Efficient HPSG Processing
In: http://www.sfs.nphil.uni-tuebingen.de/~minnen/taln.ps (1996)
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15
Off-line Constraint Propagation for Efficient HPSG Processing
In: http://www.sfs.nphil.uni-tuebingen.de/~dm/papers/hpsg-volume98/constr-prop.ps.gz (1996)
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16
2000. Memory-based learning for article generation
In: http://lingo.stanford.edu/pubs/det-ml.pdf
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17
2000. Memory-based learning for article generation
In: http://www-csli.stanford.edu/~aac/papers/mldet.pdf
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18
Magic for Filter Optimization in Dynamic Bottom-Up Processing
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19
Selective Magic HPSG Parsing
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20
Off-line Optimization for Earley-style HPSG Processing
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