Sciweavers

EMNLP
2006
13 years 6 months ago
Boosting Unsupervised Relation Extraction by Using NER
Web extraction systems attempt to use the immense amount of unlabeled text in the Web in order to create large lists of entities and relations. Unlike traditional IE methods, the ...
Ronen Feldman, Benjamin Rosenfeld
AAAI
2006
13 years 6 months ago
Kernel Methods for Word Sense Disambiguation and Acronym Expansion
The scarcity of manually labeled data for supervised machine learning methods presents a significant limitation on their ability to acquire knowledge. The use of kernels in Suppor...
Mahesh Joshi, Ted Pedersen, Richard Maclin, Sergue...
NIPS
2008
13 years 6 months ago
Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text
In this paper, we address the question of what kind of knowledge is generally transferable from unlabeled text. We suggest and analyze the semantic correlation of words as a gener...
Yi Zhang 0010, Jeff Schneider, Artur Dubrawski
IJCAI
2007
13 years 6 months ago
One Class per Named Entity: Exploiting Unlabeled Text for Named Entity Recognition
In this paper, we present a simple yet novel method of exploiting unlabeled text to further improve the accuracy of a high-performance state-of-theart named entity recognition (NE...
Yingchuan Wong, Hwee Tou Ng