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EMNLP
2010
13 years 6 months ago
A Semi-Supervised Approach to Improve Classification of Infrequent Discourse Relations Using Feature Vector Extension
Several recent discourse parsers have employed fully-supervised machine learning approaches. These methods require human annotators to beforehand create an extensive training corp...
Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuk...
ICPR
2010
IEEE
13 years 6 months ago
Improved Mandarin Keyword Spotting Using Confusion Garbage Model
This paper presents an improved acoustic keyword spotting (KWS) algorithm using a novel confusion garbage model in Mandarin conversational speech. Observing the KWS corpus, we foun...
Shilei Zhang, Zhiwei Shuang, Qin Shi, Yong Qin
PAAMS
2010
Springer
13 years 6 months ago
Towards Improving Supply Chain Coordination through Agent-Based Simulation
Abstract One of the most significant paradigm shifts of modern business management is that individual businesses no longer compete as autonomous entities but rather as supply chain...
Areti Manataki, Yun-Heh Chen-Burger, Michael Rovat...
ACL
2009
13 years 6 months ago
A Comparative Study of Hypothesis Alignment and its Improvement for Machine Translation System Combination
Recently confusion network decoding shows the best performance in combining outputs from multiple machine translation (MT) systems. However, overcoming different word orders prese...
Boxing Chen, Min Zhang, Haizhou Li, AiTi Aw
ICDM
2009
IEEE
200views Data Mining» more  ICDM 2009»
13 years 6 months ago
Improving SVM Classification on Imbalanced Data Sets in Distance Spaces
Abstract--Imbalanced data sets present a particular challenge to the data mining community. Often, it is the rare event that is of interest and the cost of misclassifying the rare ...
Suzan Koknar-Tezel, Longin Jan Latecki