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95
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AAAI
2011
14 years 25 days ago
Fast Newton-CG Method for Batch Learning of Conditional Random Fields
We propose a fast batch learning method for linearchain Conditional Random Fields (CRFs) based on Newton-CG methods. Newton-CG methods are a variant of Newton method for high-dime...
Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Ok...
104
Voted
WWW
2004
ACM
16 years 1 months ago
A web services architecture for learning object discovery and assembly
Courseware systems are often based on an assembly of different components, addressing the different needs of storage and delivery functionality. The Learning Technology Standard A...
Claus Pahl, Ronan Barrett
ACL
2010
14 years 10 months ago
Hierarchical Joint Learning: Improving Joint Parsing and Named Entity Recognition with Non-Jointly Labeled Data
One of the main obstacles to producing high quality joint models is the lack of jointly annotated data. Joint modeling of multiple natural language processing tasks outperforms si...
Jenny Rose Finkel, Christopher D. Manning
97
Voted
COLING
2002
15 years 19 days ago
Paraphrasing of Chinese Utterances
One of the key issues in spoken language translation is how to deal with unrestricted expressions in spontaneous utterances. This research is centered on the development of a Chin...
Yujie Zhang, Kazuhide Yamamoto
87
Voted
AIED
2005
Springer
15 years 6 months ago
Assessing and Scaffolding Collaborative Learning in Online Discussions
: In this paper we present two computational approaches that can be used characterize and measure online threaded discussions and demonstrate that they can objectively validate stu...
Erin Shaw