Papers with open-domain QA systems

2 papers
Multi-Domain Multilingual Question Answering (2021.emnlp-tutorials)

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Challenge: Question answering (QA) is one of the most challenging tasks in natural language processing.
Approach: a tutorial examines the state-of-the-art approaches to multi-domain and multilingual QA . they introduce standard benchmarks and discuss out-of the-box training with open-domain QA systems .
Outcome: This tutorial aims to bridge the gap between open-domain and multilingual QA.
Do Explanations Help Users Detect Errors in Open-Domain QA? An Evaluation of Spoken vs. Visual Explanations (2021.findings-acl)

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Challenge: despite interest in explainable AI, there is increasing skepticism as to whether explanations are useful to end-users in downstream applications.
Approach: They conduct user studies to measure whether explanations help users decide when to accept or reject an ODQA system's answer.
Outcome: The proposed study shows that explanations outperform baselines across modalities but the best strategy varies with the modality.

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