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EMNLP
2010
13 years 7 months ago
Confidence in Structured-Prediction Using Confidence-Weighted Models
Confidence-Weighted linear classifiers (CW) and its successors were shown to perform well on binary and multiclass NLP problems. In this paper we extend the CW approach for sequen...
Avihai Mejer, Koby Crammer
COLING
2008
13 years 10 months ago
Metric Learning for Synonym Acquisition
The distance or similarity metric plays an important role in many natural language processing (NLP) tasks. Previous studies have demonstrated the effectiveness of a number of metr...
Nobuyuki Shimizu, Masato Hagiwara, Yasuhiro Ogawa,...
NIPS
2004
13 years 10 months ago
An Application of Boosting to Graph Classification
This paper presents an application of Boosting for classifying labeled graphs, general structures for modeling a number of real-world data, such as chemical compounds, natural lan...
Taku Kudo, Eisaku Maeda, Yuji Matsumoto
EACL
2006
ACL Anthology
13 years 10 months ago
Automatic Acronym Recognition
This paper deals with the problem of recognizing and extracting acronymdefinition pairs in Swedish medical texts. This project applies a rule-based method to solve the acronym rec...
Dana Dannélls
POS
1998
Springer
14 years 1 months ago
The Transactional Object Cache: A Foundation for High Performance Persistent System Construction
This paper argues that caching, atomicity and layering are fundamental to persistent systems, and that the transactional object cache architecture, as an embodiment of these conce...
Stephen Blackburn, Robin Stanton