What Makes a Good Answer? The Role of Context in Question Answering

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Big Bird: Transformers for Longer Sequences (2020, background): “This reduces its direct applicability to tasks that require larger context, like QA [60], document classiﬁcation, etc.”
Methods for Evaluating Interactive Information Retrieval Systems with Users (2009, background): “[179] and to develop evaluation methods and measure for interactive QA systems [127, 164, 169], but in general, less is known about how people interact with and use QA systems.”
Answering Clinical Questions with Knowledge-Based and Statistical Techniques (2007, background): “Previously, a user study (Lin et al. 2003) has shown that people are reluctant to type full natural language questions, even after being told that they were using a questionanswering system and that typing complete questions would result in better performance.”
Quantitative evaluation of passage retrieval algorithms for question answering (2003, background): “[14] showed that users prefer passages over exact phrase answers in a real-world setting because paragraph-sized chunks provide context.”
How annotation styles influence content and preferences (2013, background): “In a similar vein, while short tags might be more efﬁcient when quickly skimming documents or foraging for information, Lin et al. showed that sentences (and thus longer annotations like comments) are better at helping users comprehend images [9].”