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2007

Exploiting Multi-Word Units in History-Based Probabilistic Generation

9 years 3 months ago
Exploiting Multi-Word Units in History-Based Probabilistic Generation
We present a simple history-based model for sentence generation from LFG f-structures, which improves on the accuracy of previous models by breaking down PCFG independence assumptions so that more f-structure conditioning context is used in the prediction of grammar rule expansions. In addition, we present work on experiments with named entities and other multi-word units, showing a statistically significant improvement of generation accuracy. Tested on section 23 of the Penn Wall Street Journal Treebank, the techniques described in this paper improve BLEU scores from 66.52 to 68.82, and coverage from 98.18% to 99.96%.
Deirdre Hogan, Conor Cafferkey, Aoife Cahill, Jose
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where EMNLP
Authors Deirdre Hogan, Conor Cafferkey, Aoife Cahill, Josef van Genabith
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