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ACL
2001
13 years 6 months ago
Scaling to Very Very Large Corpora for Natural Language Disambiguation
The amount of readily available on-line text has reached hundreds of billions of words and continues to grow. Yet for most core natural language tasks, algorithms continue to be o...
Michele Banko, Eric Brill
COLING
1990
13 years 5 months ago
Word Sense Disambiguation with Very Large Neural Networks Extracted from Machine Readable Dictionaries
In this paper, we describe a means for automatically building very large neural networks (VLNNs) from definition texts in machine-readable dictionaries, and demonstrate the use of...
Jean Véronis, Nancy Ide
LKR
2008
13 years 6 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 ...
EACL
1993
ACL Anthology
13 years 6 months ago
An Endogeneous Corpus-Based Method for Structural Noun Phrase Disambiguation
In this paper, we describe a method for structural noun phrase disambiguation which mainly relies on the examination of the text corpus under analysis and doesn't need to int...
Didier Bourigault
COLING
2000
13 years 6 months ago
KCAT: A Korean Corpus Annotating Tool Minimizing Human Intervention
While large POS(part-of-speech) annotated corpora play an important role in natural language processing, the annotated corpus requires very high accuracy and consistency. To build...
Won-He Ryu, Jin-Dong Kim, Hae-Chang Rim, Heui-Seok...