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EACL
2009
ACL Anthology
14 years 9 months ago
Analysing Wikipedia and Gold-Standard Corpora for NER Training
Named entity recognition (NER) for English typically involves one of three gold standards: MUC, CoNLL, or BBN, all created by costly manual annotation. Recent work has used Wikipe...
Joel Nothman, Tara Murphy, James R. Curran
ACL
2009
13 years 6 months ago
Efficient Inference of CRFs for Large-Scale Natural Language Data
This paper presents an efficient inference algorithm of conditional random fields (CRFs) for large-scale data. Our key idea is to decompose the output label state into an active s...
Minwoo Jeong, Chin-Yew Lin, Gary Geunbae Lee
COLING
2002
13 years 8 months ago
An Agent-based Approach to Chinese Named Entity Recognition
Chinese NE (Named Entity) recognition is a difficult problem because of the uncertainty in word segmentation and flexibility in language structure. This paper proposes the use of ...
Shiren Ye, Tat-Seng Chua, Jimin Liu
LKR
2008
13 years 10 months ago
Design and Prototype of a Large-Scale and Fully Sense-Tagged Corpus
Sense tagged corpus plays a very crucial role to Natural Language Processing, especially on the research of word sense disambiguation and natural language understanding. Having a l...
Sue-jin Ker, Chu-Ren Huang, Jia-Fei Hong, Shi-Yin ...
EMNLP
2009
13 years 6 months ago
Natural Language Generation with Tree Conditional Random Fields
This paper presents an effective method for generating natural language sentences from their underlying meaning representations. The method is built on top of a hybrid tree repres...
Wei Lu, Hwee Tou Ng, Wee Sun Lee