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» Machine Learning and the Cognitive Basis of Natural Language
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ATAL
2009
Springer
14 years 1 months ago
MABLE: a framework for learning from natural instruction
The Modular Architecture for Bootstrapped Learning Experiments (MABLE) is a system that is being developed to allow humans to teach computers in the most natural manner possible: ...
Roger Mailler, Daniel Bryce, Jiaying Shen, Ciaran ...
ICALT
2009
IEEE
13 years 10 months ago
The Language Technologies for Lifelong Learning Project
This poster presents an ongoing European project: Language Technologies for Lifelong Learning (LTfLL). The aim of the project is to create a next-generation of support and advice ...
Adriana J. Berlanga, Peter van Rosmalen, Stefan Tr...
ICML
2000
IEEE
13 years 11 months ago
Discriminative Reranking for Natural Language Parsing
This paper considers approaches which rerank the output of an existing probabilistic parser. The base parser produces a set of candidate parses for each input sentence, with assoc...
Michael Collins
COLING
2000
13 years 8 months ago
Improving SMT quality with morpho-syntactic analysis
In the framework of statistical machine translation (SMT), correspondences between the words in the source and the target language are learned from bilingual corpora on the basis ...
Sonja Nießen, Hermann Ney
EACL
2006
ACL Anthology
13 years 8 months ago
Semantic Role Labeling for Coreference Resolution
Extending a machine learning based coreference resolution system with a feature capturing automatically generated information about semantic roles improves its performance.
Simone Paolo Ponzetto, Michael Strube