Breaking NLP: Using Morphosyntax, Semantics, Pragmatics and World Knowledge to Fool Sentiment Analysis Systems

WS 2017 Taylor MahlerWilly CheungMicha ElsnerDavid KingMarie-Catherine de MarneffeCory ShainSymon Stevens-GuilleMichael White

This paper describes our {``}breaker{''} submission to the 2017 EMNLP {``}Build It Break It{''} shared task on sentiment analysis. In order to cause the {``}builder{''} systems to make incorrect predictions, we edited items in the blind test data according to linguistically interpretable strategies that allow us to assess the ease with which the builder systems learn various components of linguistic structure... (read more)

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