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» Learning and Generalization with the Information Bottleneck
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EMNLP
2009
14 years 7 months ago
Generalized Expectation Criteria for Bootstrapping Extractors using Record-Text Alignment
Traditionally, machine learning approaches for information extraction require human annotated data that can be costly and time-consuming to produce. However, in many cases, there ...
Kedar Bellare, Andrew McCallum
WWW
2007
ACM
15 years 10 months ago
Hierarchical, perceptron-like learning for ontology-based information extraction
Recent work on ontology-based Information Extraction (IE) has tried to make use of knowledge from the target ontology in order to improve semantic annotation results. However, ver...
Yaoyong Li, Kalina Bontcheva
CANDT
2009
15 years 1 months ago
wConnect: a facebook-based developmental learning community to support women in information technology
The under-representation of women in computer and information science (CIS) has created a crisis in availability of qualified CIS professionals and diversity of perspectives. Many...
Mary Beth Rosson, John M. Carroll, Dejin Zhao, Tim...
WWW
2007
ACM
15 years 10 months ago
Learning information diffusion process on the web
Many text documents on the Web are not originally created but forwarded or copied from other source documents. The phenomenon of document forwarding or transmission between variou...
Xiaojun Wan, Jianwu Yang
CIKM
2005
Springer
15 years 3 months ago
Discretization based learning approach to information retrieval
We approached the problem as learning how to order documents by estimated relevance with respect to a user query. Our support vector machines based classifier learns from the rele...
Dmitri Roussinov, Weiguo Fan, Fernando A. Das Neve...