Sanity Check: A Strong Alignment and Information Retrieval Baseline for Question Answering

5 Jul 2018Vikas YadavRebecca SharpMihai Surdeanu

While increasingly complex approaches to question answering (QA) have been proposed, the true gain of these systems, particularly with respect to their expensive training requirements, can be inflated when they are not compared to adequate baselines. Here we propose an unsupervised, simple, and fast alignment and information retrieval baseline that incorporates two novel contributions: a \textit{one-to-many alignment} between query and document terms and \textit{negative alignment} as a proxy for discriminative information... (read more)

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