2017 · 1.3K citations · 36 references
ComputingComputer ScienceArtificial IntelligenceNatural Language ProcessingReading ComprehensionArtificial Intelligence In Language LearningLanguage ModelingLanguage ModelsNatural Language UnderstandingQuestion AnsweringText GenerationAccuracyAdversarial ExamplesAdversarial Question AnsweringAdversarial RobustnessNeural Language ModelsQuestion Answering CorporaQuestion Answering SystemsQuestion Answering Systems Evaluation
Standard accuracy metrics indicate that reading comprehension systems are making rapid progress, but the extent to which these systems truly understand language remains unclear.
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Explaining and Harnessing Adversarial Examples
Ian Goodfellow, Jonathon Shlens, Christian Szegedy · arXiv (Cornell University) · 2014 · 8.2K citations · Full text
The Stanford CoreNLP Natural Language Processing Toolkit
Christopher D. Manning, Mihai Surdeanu, John Bauer et al. · 2014 · 7.2K citations · Full text