1. Multiclass learning as multitask learning

    It's bugged me for a little while that when learning multiclass classifiers, the prior on weights is uniform (even when they're learned directly and not through some one-versus-rest or all-versus-all reduction). Why does this bug me? Consider our favorite task: shallow parsing (aka syntactic chunking). We want to be able to identify base phrases such as NPs in running text. The standard way to do this is to do an encoding of phrase labels into word labels and apply some sequence labeling algorit
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      Discourse, Entailment, Machine Translation, NER, Parsing, Segmentation, Semantic, Sentiment, Summarization, WSD