NAACL
2010
13 years 9 months ago
2010
We present Quantized Contour Modeling (QCM), a Bayesian approach to the classification of acoustic contours. We evaluate the performance of this technique in the classification of...
NAACL
2010
13 years 9 months ago
2010
We describe a Bayesian inference algorithm that can be used to train any cascade of weighted finite-state transducers on end-toend data. We also investigate the problem of automat...
NAACL
2010
13 years 9 months ago
2010
We describe a utility evaluation to determine whether cross-document information extraction (IE) techniques measurably improve user performance in news summary writing. Two groups...
NAACL
2010
13 years 9 months ago
2010
In this work, we try a hybrid methodology for language modeling where both morphological decomposition and factored language modeling (FLM) are exploited to deal with the complex ...
NAACL
2010
13 years 9 months ago
2010
This paper analyzes the topic identification stage of single-document automatic text summarization across four different domains, consisting of newswire, literary, scientific and ...
NAACL
2010
13 years 9 months ago
2010
This paper introduces a system designed for automatically generating personalized annotation tags to label Twitter user's interests and concerns. We applied TFIDF ranking and...
NAACL
2010
13 years 9 months ago
2010
We identify some problems of the evaluation metrics used for the English Lexical Substitution Task of SemEval-2007, and propose alternative metrics that avoid these problems, whic...
NAACL
2010
13 years 9 months ago
2010
Image annotation, the task of automatically generating description words for a picture, is a key component in various image search and retrieval applications. Creating image datab...
NAACL
2010
13 years 9 months ago
2010
Although Wikipedia has emerged as a powerful collaborative Encyclopedia on the Web, it is only partially multilingual as most of the content is in English and a small number of ot...
NAACL
2010
13 years 9 months ago
2010
In this paper we propose a novel general framework for unsupervised model adaptation. Our method is based on entropy which has been used previously as a regularizer in semi-superv...