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INTERSPEECH
2010
12 years 11 months ago
The RWTH 2009 quaero ASR evaluation system for English and German
In this work, the RWTH automatic speech recognition systems for English and German for the second Quaero evaluation campaign 2009 are presented. The systems are designed to transc...
Markus Nußbaum-Thom, Simon Wiesler, Martin S...
COLING
2010
12 years 11 months ago
Sentiment Classification and Polarity Shifting
Polarity shifting marked by various linguistic structures has been a challenge to automatic sentiment classification. In this paper, we propose a machine learning approach to inco...
Shoushan Li, Sophia Yat Mei Lee, Ying Chen, Chu-Re...
ACL
2009
13 years 2 months ago
Reducing the Annotation Effort for Letter-to-Phoneme Conversion
Letter-to-phoneme (L2P) conversion is the process of producing a correct phoneme sequence for a word, given its letters. It is often desirable to reduce the quantity of training d...
Kenneth Dwyer, Grzegorz Kondrak
NAACL
2010
13 years 2 months ago
Crowdsourcing the evaluation of a domain-adapted named entity recognition system
Named entity recognition systems sometimes have difficulty when applied to data from domains that do not closely match the training data. We first use a simple rule-based techniqu...
Asad B. Sayeed, Timothy J. Meyer, Hieu C. Nguyen, ...
ICPR
2010
IEEE
13 years 2 months ago
Text Separation from Mixed Documents Using a Tree-Structured Classifier
In this paper, we propose a tree-structured multiclass classifier to identify annotations and overlapping text from machine printed documents. Each node of the tree-structured cla...
Xujun Peng, Srirangaraj Setlur, Venu Govindaraju, ...
ICPR
2010
IEEE
13 years 2 months ago
Boosting Bayesian MAP Classification
In this paper we redefine and generalize the classic k-nearest neighbors (k-NN) voting rule in a Bayesian maximum-a-posteriori (MAP) framework. Therefore, annotated examples are u...
Paolo Piro, Richard Nock, Frank Nielsen, Michel Ba...
EMNLP
2010
13 years 2 months ago
A Probabilistic Morphological Analyzer for Syriac
We define a probabilistic morphological analyzer using a data-driven approach for Syriac in order to facilitate the creation of an annotated corpus. Syriac is an under-resourced S...
Peter McClanahan, George Busby, Robbie Haertel, Kr...
PR
2007
216views more  PR 2007»
13 years 4 months ago
Reconstruction of 3D human body pose from stereo image sequences based on top-down learning
This paper presents a novel method for reconstructing a 3D human body pose from stereo image sequences based on a top-down learning method. However, it is inefficient to build a ...
Hee-Deok Yang, Seong-Whan Lee
TALIP
2002
108views more  TALIP 2002»
13 years 4 months ago
Toward a unified approach to statistical language modeling for Chinese
This paper presents a unified approach to Chinese statistical language modeling (SLM). Applying SLM techniques like trigram language models to Chinese is challenging because (1) t...
Jianfeng Gao, Joshua Goodman, Mingjing Li, Kai-Fu ...
SIGIR
2008
ACM
13 years 4 months ago
Learning query intent from regularized click graphs
This work presents the use of click graphs in improving query intent classifiers, which are critical if vertical search and general-purpose search services are to be offered in a ...
Xiao Li, Ye-Yi Wang, Alex Acero