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Showing 1 to 2 of 2 for “"Recognizing Textual Entailment"”.

  1. Lexical entailment

    Lexical entailment is a requirement for success in the domains of Recognizing Textual Entailment (RTE) as well as related tasks like Question-Answering and Information Extraction. Previous approaches tend to fall into two camps - those that make use of distributional models and those that make use …

    uiuc Repository record for Lexical entailment (opens in a new tab)

  2. Controlling the effect of crowd noisy annotations in NLP Tasks

    … extract linguistic knowledge from big textual data instead of hard-coding the necessary knowledge. Such intelligent machines require input data to be prepared in such a way that the computer can more easily find patterns and inferences. This is feasible by adding relevant metadata to a …

    trento Repository record for Controlling the effect of crowd noisy annotations in NLP Tasks (opens in a new tab)