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ICANN
2001
Springer
14 years 2 days ago
Online Symbolic-Sequence Prediction with Discrete-Time Recurrent Neural Networks
This paper studies the use of discrete-time recurrent neural networks for predicting the next symbol in a sequence. The focus is on online prediction, a task much harder than the c...
Juan Antonio Pérez-Ortiz, Jorge Calera-Rubi...
CPM
1999
Springer
144views Combinatorics» more  CPM 1999»
13 years 12 months ago
Ziv Lempel Compression of Huge Natural Language Data Tries Using Suffix Arrays
We present a very efficient, in terms of space and access speed, data structure for storing huge natural language data sets. The structure is described as LZ (Ziv Lempel) compresse...
Strahil Ristov, Eric Laporte
ACL
2003
13 years 9 months ago
Syntactic Features and Word Similarity for Supervised Metonymy Resolution
We present a supervised machine learning algorithm for metonymy resolution, which exploits the similarity between examples of conventional metonymy. We show that syntactic head-mo...
Malvina Nissim, Katja Markert
COLING
1990
13 years 8 months ago
To Parse or Not to Parse: Relation-Driven Text Skimming
We have designed and implemented a text processing system that can extract important information from hundreds of paragraphs per hour and can be transported within weeks to a new ...
Paul S. Jacobs
MT
1998
91views more  MT 1998»
13 years 7 months ago
A Controlled Skip Parser
Real-world natural language sentences are long and complex, and always contain unexpected grammatical constructions. It even includes noise and ungrammaticality. This paper descri...
Kenji Yamada