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» Enriching the Output of a Parser Using Memory-based Learning
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ICML
1998
IEEE
15 years 10 months ago
Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions
This paper introduces a new algorithm, Q2, foroptimizingthe expected output ofamultiinput noisy continuous function. Q2 is designed to need only a few experiments, it avoids stron...
Andrew W. Moore, Jeff G. Schneider, Justin A. Boya...
69
Voted
CLIN
2001
14 years 11 months ago
Memory-Based Phoneme-to-Grapheme Conversion
In this paper, we describe a method to enhance the readability of out-of-vocabulary items (OOVs) in the textual output in a large vocabulary continuous speech recognition system. ...
Bart Decadt, Jacques Duchateau, Walter Daelemans, ...
ICML
2000
IEEE
15 years 1 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
76
Voted
CLIN
2000
14 years 11 months ago
Transforming a Chunker to a Parser
Ever since the landmark paper Ramshaw and Marcus (1995), machine learning systems have been used successfully for identifying base phrases (chunks), the bottom constituents of a p...
Erik F. Tjong Kim Sang
ACL
1993
14 years 10 months ago
Automatic Acquisition of a Large Subcategorization Dictionary from Corpora
This paper presents a new method for producing a dictionary of subcategorization frames from unlabelled text corpora. It is shown that statistical filtering of the results of a ...
Christopher D. Manning