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» Abbreviated text input using language modeling
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EMNLP
2010
14 years 10 months ago
Negative Training Data Can be Harmful to Text Classification
This paper studies the effects of training data on binary text classification and postulates that negative training data is not needed and may even be harmful for the task. Tradit...
Xiaoli Li, Bing Liu, See-Kiong Ng
ECIR
2004
Springer
15 years 1 months ago
Complex Linguistic Features for Text Classification: A Comprehensive Study
Abstract. Previous researches on advanced representations for document retrieval have shown that statistical state-of-the-art models are not improved by a variety of different ling...
Alessandro Moschitti, Roberto Basili
NAACL
2010
14 years 9 months ago
Using Mostly Native Data to Correct Errors in Learners' Writing
We present results from a range of experiments on article and preposition error correction for non-native speakers of English. We first compare a language model and errorspecific ...
Michael Gamon
AAI
2006
215views more  AAI 2006»
14 years 12 months ago
Extensive Evaluation of Efficient NLP-Driven Text Classification
Extensive experimental evidence is required to study the impact of text categorization approaches on real data and to assess the performance within operational scenarios. In this ...
Roberto Basili, Alessandro Moschitti, Maria Teresa...
ASSETS
2007
ACM
15 years 3 months ago
Corpus studies in word prediction
Word prediction can be used to enhance the communication rate of people with disabilities who use Augmentative and Alternative Communication (AAC) devices. We use statistical meth...
Keith Trnka, Kathleen F. McCoy