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AAAI
2012
13 years 2 months ago
Fine-Grained Entity Recognition
Entity Recognition (ER) is a key component of relation extraction systems and many other natural-language processing applications. Unfortunately, most ER systems are restricted to...
Xiao Ling, Daniel S. Weld
EMNLP
2009
14 years 9 months ago
Domain adaptive bootstrapping for named entity recognition
Bootstrapping is the process of improving the performance of a trained classifier by iteratively adding data that is labeled by the classifier itself to the training set, and retr...
Dan Wu, Wee Sun Lee, Nan Ye, Hai Leong Chieu
ERCIMDL
2004
Springer
120views Education» more  ERCIMDL 2004»
15 years 5 months ago
Towards Topic Driven Access to Full Text Documents
We address the issue of providing topic driven access to full text documents. The methodology we propose is a combination of topic segmentation and information retrieval techniques...
Caterina Caracciolo, Willem Robert van Hage, Maart...
WEBI
2007
Springer
15 years 6 months ago
Fact Discovery in Wikipedia
We address the task of extracting focused salient information items, relevant and important for a given topic, from a large encyclopedic resource. Specifically, for a given topic...
Sisay Fissaha Adafre, Valentin Jijkoun, Maarten de...
CIKM
2008
Springer
15 years 1 months ago
Combining concept hierarchies and statistical topic models
Statistical topic models provide a general data-driven framework for automated discovery of high-level knowledge from large collections of text documents. While topic models can p...
Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyv...