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» Intelligent Selection of Language Model Training Data
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LREC
2008
110views Education» more  LREC 2008»
15 years 5 months ago
Creation of Learner Corpus and Its Application to Speech Recognition
Some big languages like English are spoken by a lot of people whose mother tongues are different from. Their second languages often have not only distinct accent but also differen...
Hiroki Yamazaki, Keisuke Kitamura, Takashi Harada,...
SIGMOD
2007
ACM
192views Database» more  SIGMOD 2007»
16 years 4 months ago
Benchmarking declarative approximate selection predicates
Declarative data quality has been an active research topic. The fundamental principle behind a declarative approach to data quality is the use of declarative statements to realize...
Amit Chandel, Oktie Hassanzadeh, Nick Koudas, Moha...
ACL
2010
15 years 1 months ago
Hierarchical Joint Learning: Improving Joint Parsing and Named Entity Recognition with Non-Jointly Labeled Data
One of the main obstacles to producing high quality joint models is the lack of jointly annotated data. Joint modeling of multiple natural language processing tasks outperforms si...
Jenny Rose Finkel, Christopher D. Manning
ICASSP
2009
IEEE
15 years 11 months ago
Filtering web text to match target genres
In language modeling for speech recognition, both the amount of training data and the match to the target task impact the goodness of the model, with the trade-off usually favorin...
Marius A. Marin, Sergey Feldman, Mari Ostendorf, M...
KDD
2008
ACM
148views Data Mining» more  KDD 2008»
16 years 4 months ago
Get another label? improving data quality and data mining using multiple, noisy labelers
This paper addresses the repeated acquisition of labels for data items when the labeling is imperfect. We examine the improvement (or lack thereof) in data quality via repeated la...
Victor S. Sheng, Foster J. Provost, Panagiotis G. ...