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» Intelligent Selection of Language Model Training Data
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ICPR
2006
IEEE
16 years 3 months ago
A New Data Selection Principle for Semi-Supervised Incremental Learning
Current semi-supervised incremental learning approaches select unlabeled examples with predicted high confidence for model re-training. We show that for many applications this dat...
Alexander I. Rudnicky, Rong Zhang
163
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INTERSPEECH
2010
14 years 9 months ago
Recurrent neural network based language model
A new recurrent neural network based language model (RNN LM) with applications to speech recognition is presented. Results indicate that it is possible to obtain around 50% reduct...
Tomas Mikolov, Martin Karafiát, Lukas Burge...
133
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EMNLP
2007
15 years 4 months ago
A Discriminative Learning Model for Coordinate Conjunctions
We propose a sequence-alignment based method for detecting and disambiguating coordinate conjunctions. In this method, averaged perceptron learning is used to adapt the substituti...
Masashi Shimbo, Kazuo Hara
EPIA
2005
Springer
15 years 8 months ago
Improving Passage Retrieval in Question Answering Using NLP
Abstract. This paper describes an approach for the integration of linguistic information in passage retrieval in an open-source question answering system for Dutch. Annotation prod...
Jörg Tiedemann
ACL
2011
14 years 6 months ago
Effective Measures of Domain Similarity for Parsing
It is well known that parsing accuracy suffers when a model is applied to out-of-domain data. It is also known that the most beneficial data to parse a given domain is data that ...
Barbara Plank, Gertjan van Noord