1. Feature-based candidate selection

    A candidate for selection or insertion may be based on extracted candidate features and reference features. The candidate features may be scored and ranked while candidates may be removed from consideration based on criteria. The remaining candidates may be presented for selection and/or insertion.

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      Discourse, Entailment, Machine Translation, NER, Parsing, Segmentation, Semantic, Sentiment, Summarization, WSD