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» Forest Reranking: Discriminative Parsing with Non-Local Feat...
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ACL
2008
13 years 5 months ago
Forest Reranking: Discriminative Parsing with Non-Local Features
Conventional n-best reranking techniques often suffer from the limited scope of the nbest list, which rules out many potentially good alternatives. We instead propose forest reran...
Liang Huang
COLING
2008
13 years 5 months ago
Word Lattice Reranking for Chinese Word Segmentation and Part-of-Speech Tagging
In this paper, we describe a new reranking strategy named word lattice reranking, for the task of joint Chinese word segmentation and part-of-speech (POS) tagging. As a derivation...
Wenbin Jiang, Haitao Mi, Qun Liu
ACL
2006
13 years 5 months ago
Discriminative Reranking for Semantic Parsing
Semantic parsing is the task of mapping natural language sentences to complete formal meaning representations. The performance of semantic parsing can be potentially improved by u...
Ruifang Ge, Raymond J. Mooney
ACL
2012
11 years 6 months ago
Concept-to-text Generation via Discriminative Reranking
This paper proposes a data-driven method for concept-to-text generation, the task of automatically producing textual output from non-linguistic input. A key insight in our approac...
Ioannis Konstas, Mirella Lapata
ICML
2000
IEEE
13 years 8 months ago
Discriminative Reranking for Natural Language Parsing
This paper considers approaches which rerank the output of an existing probabilistic parser. The base parser produces a set of candidate parses for each input sentence, with assoc...
Michael Collins