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» Calibrating Features for Semantic Role Labeling
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BMCBI
2010
118views more  BMCBI 2010»
13 years 7 months ago
Walk-weighted subsequence kernels for protein-protein interaction extraction
Background: The construction of interaction networks between proteins is central to understanding the underlying biological processes. However, since many useful relations are exc...
Seonho Kim, Juntae Yoon, Jihoon Yang, Seog Park
SDM
2012
SIAM
305views Data Mining» more  SDM 2012»
11 years 9 months ago
Learning Hierarchical Relationships among Partially Ordered Objects with Heterogeneous Attributes and Links
Objects linking with many other objects in an information network may imply various semantic relationships. Uncovering such knowledge is essential for role discovery, data cleanin...
Chi Wang, Jiawei Han, Qi Li, Xiang Li, Wen-Pin Lin...
CIDM
2007
IEEE
13 years 11 months ago
Efficient Kernel-based Learning for Trees
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
CICLING
2010
Springer
13 years 10 months ago
ETL Ensembles for Chunking, NER and SRL
We present a new ensemble method that uses Entropy Guided Transformation Learning (ETL) as the base learner. The proposed approach, ETL Committee, combines the main ideas of Baggin...
Cícero Nogueira dos Santos, Ruy Luiz Milidi...
ISI
2008
Springer
13 years 7 months ago
A template alignment algorithm for question classification
Question classification (QC) plays a key role in automated question answering (QA) systems. In Chinese QC, for example, a question is analyzed and then labeled with the question ty...
Cheng-Lung Sung, Min-Yuh Day, Hsu-Chun Yen, Wen-Li...