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1
Complex Predicates in Arrernte
Dras, Mark; Lareau, François; Börschinger, Benjamin. - : Proceedings of the LFG12 Conference, 2012
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2
Complex predicates in Arrernte
Dras, Mark; Lareau, François; Börschinger, Benjamin. - : Stanford, CA : CSLI Publications, 2012
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3
Complex Predicates in Arrernte ...
Dras, Mark; Lareau, François; Börschinger, Benjamin. - : Columbia University, 2012
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4
Collocations in multilingual natural language generation : Lexical functions meet Lexical functional grammar
Lareau, Francois; Dras, Mark; Borschinger, Benjamin. - : Carlton, Vic : Australian Language Technology Association, 2011
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5
Detecting interesting event sequences for sports reporting
Lareau, François; Dras, Mark; Dale, Robert. - : Association for Computational Linguistics (ACL), 2011
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6
Spanning tree approaches for statistical sentence generation
Wan, Stephen; Dras, Mark; Dale, Robert. - : Berlin : Springer, 2010
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7
Improving grammaticality in statistical sentence generation: introducing a dependency spanning tree algorithm with an argument satisfaction model
In: Association for Computational Linguistics / European Chapter. Conference of the European Chapter of the Association for Computational Linguistics. - Menlo Park, Calif. : ACL 12 (2009), 852-860
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8
Improving grammaticality in statistical sentence generation : introducing a dependency spanning tree algorithm with an argument satisfaction model
Wan, Stephen; Dras, Mark; Dale, Robert. - : Stroudsburg, PA : Association for Computational Linguistics, 2009
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9
Seed and grow : augmenting statistically generated summary sentences using schematic word patterns
Wan, Stephen; Dras, Mark; Dale, Robert. - : Stroudsburg, PA : Association for Computational Linguistics, 2008
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10
GLEU : Automatic evaluation of sentence-level fluency
Mutton, Andrew; Dras, Mark; Wan, Stephen. - : Stroudsburg, PA : Association for Computational Linguistics (ACL), 2007
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11
Global revision in summarisation : generating novel sentences with Prim's algorithm
Wan, Stephen; Dale, Robert; Dras, Mark; Paris, Cécile. - : Melbourne, Australia : Pacific Association for Computational Linguistics, 2007
Abstract: In abstract-like summarisation, extracted sentences containing key content are often revised to improve the coherence of the overall summary. In this work, we consider the task of Global Revision, in which a key sentence is revised and supplemented with additional content from the original document. Specifically, this task comprises two subtasks: selecting content; and grammatically ordering content, the focus of this paper. Using statistical dependency models, we search for a Maximal Spanning (Dependency) Tree that structures recycled words and phrases to form a novel sentence. Combining a modified version of Prim’s algorithm with a four-gram language model, we evaluated our system on a sentence regeneration task obtaining Bleu scores of .30, a statistically significant improvement above the baseline. ; 10 page(s)
Keyword: 080100 Artificial Intelligence and Image Processing
URL: http://hdl.handle.net/1959.14/156742
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12
Using dependency-based features to take the "para-farce" out of paraphrase
Wan, Stephen; Dras, Mark; Dale, Robert. - : Carlton, Vic : Australian Language Technology Association, 2006
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13
Statistically Generated Summary Sentences: A Preliminary Evaluation using a Dependency Relation Precision Metric
Dras, Mark; Dale, Robert; Wan, Stephen. - : UK : University of Brighton, 2005
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14
Using Thematic Information in Statistical Headline Generation
Wan, Stephen; Dras, Mark; Paris, Cecile. - : Sapporo, Japan : Association for Computational Linguistics, 2003
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