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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)
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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)
Abstract: Aphasia is a disability of language processing often suffered by people as a result of a stroke or head injury. In order to assist aphasic readers we are developing a system which automatically simplifies English newspaper texts as available on the Internet. The system combines state-of-the-art natural language processing tools with innovative research on text simplification. We present the architecture of the system, discuss the analysis of newspaper text and a number of criteria for simplification. In addition, we provide some initial implementation details and propose an evaluation method. Keywords: robust parsing, text simplification, aphasia, reading assistance Introduction Recently, there has been increasing interest in the use of results from natural language processing for the development of assistive technology. 1 Here, we address this topic by reporting preliminary work carried out in the research project "PSET: Practical Simplification of English Text". 2 The aim of t.
Keyword: aphasia; reading; robust parsing; text simplification
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.51.1145
http://osiris.sund.ac.uk/~pset/aaai98.ps
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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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