Papers with open-domain QA methods
IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions (2023.emnlp-main)
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| Challenge: | Existing open-domain QA tasks focus on questions whose answer can be deduced directly from global factual knowledge. |
| Approach: | They propose a dataset where each question is based on a counterfactual presupposition via an "if" clause. |
| Outcome: | The IfQA dataset contains 3,800 questions that were annotated by crowdworkers on relevant Wikipedia passages. |
MLEC-QA: A Chinese Multi-Choice Biomedical Question Answering Dataset (2021.emnlp-main)
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| Challenge: | Question Answering (QA) is a branch of QA that enables effective perceiving, accessing, and understanding complex biomedical knowledge by innovative applications. |
| Approach: | They present MLEC-QA, the largest-scale Chinese multi-choice biomedical QA dataset . they implement eight representative control methods and open-domain QA methods as baselines . |
| Outcome: | The proposed dataset is the largest-scale Chinese multi-choice biomedical QA dataset . it covers the following biomedically-relevant sub-fields: Clinic, Stomatology, Public Health, Traditional Chinese Medicine, and Traditional Chinese medicine Combined with Western Medicine. |