Index of papers in Proc. ACL 2010 that mention
  • binary classification
Xiong, Deyi and Zhang, Min and Li, Haizhou
Error Detection with a Maximum Entropy Model
As mentioned before, we consider error detection as a binary classification task.
Sometimes the step 2) is not necessary if only one effective feature is used (Ueffing and Ney, 2007); and sometimes the step 2) and 3) can be merged into a single step if we directly output predicting results from binary classifiers instead of making thresholding decision.
We integrate two sets of linguistic features into a maximum entropy (MaxEnt) model and develop a MaxEnt-based binary classifier to predict the category (correct or incorrect) for each word in a generated target sentence.
Related Work
0 We treat error detection as a complete binary classification problem.
binary classification is mentioned in 4 sentences in this paper.
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