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ShARC -- Shaping Answers with Rules through Conversation ShARC Home Data Visualisation Leaderboard UCL Machine Reading Group ShARC Shaping Answers with Rules through Conversation arXiv Paper Marzieh Saeidi , Max Bartolo , Patrick Lewis , Sameer Singh , Tim Rocktäschel , Mike Sheldon , Guillaume Bouchard , Sebastian Riedel Conversational Question Answering Most work in machine reading focuses on question answering problems where the answer is directly expressed in the text to read. However, many real-world question answering problems require the reading of text not because it contains the literal answer, but because it contains a recipe to derive an answer together with the reader's background knowledge. We formalise this task and develop a crowd-sourcing strategy to collect 32k task instances. Task Overview In our task, the goal is to...
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