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» Training a Natural Language Generator From Unaligned Data
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ACL
2006
15 years 20 days ago
Machine Learning of Temporal Relations
This paper investigates a machine learning approach for temporally ordering and anchoring events in natural language texts. To address data sparseness, we used temporal reasoning ...
Inderjeet Mani, Marc Verhagen, Ben Wellner, Chong ...
EMNLP
2010
14 years 9 months ago
Improving Mention Detection Robustness to Noisy Input
Information-extraction (IE) research typically focuses on clean-text inputs. However, an IE engine serving real applications yields many false alarms due to less-well-formed input...
Radu Florian, John F. Pitrelli, Salim Roukos, Imed...
IJCNLP
2004
Springer
15 years 4 months ago
Improving Noun Phrase Coreference Resolution by Matching Strings
In this paper we present a noun phrase coreference resolution system which aims to enhance the identification of the coreference realized by string matching. For this purpose, we ...
Xiaofeng Yang, Guodong Zhou, Jian Su, Chew Lim Tan
ICASSP
2010
IEEE
14 years 11 months ago
Learning with synthesized speech for automatic emotion recognition
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...
Bjoern Schuller, Felix Burkhardt
JMLR
2010
106views more  JMLR 2010»
14 years 6 months ago
Why Does Unsupervised Pre-training Help Deep Learning?
Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of auto-encoder variants, with impressive results obtai...
Dumitru Erhan, Yoshua Bengio, Aaron C. Courville, ...