1. [R] [1606.01404] Generating Natural Language Inference Chains : MachineLearning

    [R] [1606.01404] Generating Natural Language Inference Chains : MachineLearning

    Authors: Vladyslav Kolesnyk , Tim Rocktäschel , Sebastian Riedel Abstract: The ability to reason with natural language is a fundamental prerequisite for many NLP tasks such as information extraction, machine translation and question answering. To quantify this ability, systems are commonly tested whether they can recognize textual entailment, i.e., whether one sentence can be inferred from another one.

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