Discriminative Reranking for Natural Language Parsing
نویسندگان
چکیده
منابع مشابه
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 associated probabilities that define an initial ranking of these parses. A second model then attempts to improve upon this initial ranking, using additional features of the tree as evidence. We describe and compare two appr...
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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 using discriminative reranking, which explores arbitrary global features. In this paper, we investigate discriminative reranking upon a baseline semantic parser, SCISSOR, where the composition of meaning representations...
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This survey is inspired by the so-called reranking techniques in natural language processing (NLP). The aim of this survey is to provide an overview of three main reranking tasks particularly for discriminative parsing. We will focus on the motivation for discriminative reranking, on the three models, boosting model, support vector machine (SVM) model and voted perceptron model, on the procedur...
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ژورنال
عنوان ژورنال: Computational Linguistics
سال: 2005
ISSN: 0891-2017,1530-9312
DOI: 10.1162/0891201053630273