Abstract. Evaluating Question Answering (QA) Systems is a very complex task: state-of-the-art systems involve processing whose influences.
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Is more than reading comprehension a survey on datasets and metrics of textual question answering?
Our study suggests that while current metrics may be suitable for existing QA datasets, they limit the complexity of QA datasets that can be created.
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Dec 7, 2021 · Question answering involves but not limited to the steps like mapping of user question to pertinent query, retrieval of relevant information, ...
Jul 8, 2022 · It lets you quantify the system's overall performance, detect any deterioration over time, and compare it to competing configurations.
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Evaluating Question Answering (QA) Systems is a very complex task: state-of-the-art systems involve processing whose influences and contributions on the final ...
May 29, 2023 · We perform the first targeted study of the evaluation of long-form answers, covering both human and automatic evaluation practices.
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Sep 6, 2022 · This survey is an effort to present a comprehensive review of the state-of-the-art research trends of CQA primarily based on reviewed papers over the recent ...
Question answering has received a huge amount of community attention with (at least) 6 QA datasets published at EMNLP.
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This paper presents some key points on different aspects of the QA Systems (QAS) evaluation: mainly, as performed during large-scale campaigns, ...
We have discussed new evaluation metrics apart from traditional evaluation metrics. Challenges and opportunities in visual question answering are discussed.