Unsupervised Open-Domain Question Answering
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Abstract (arXiv)
Open-domain Question Answering (ODQA) has achieved significant results in terms of supervised learning manner. However, data annotation cannot also be irresistible for its huge demand in an open domain. Though unsupervised QA or unsupervised Machine Reading Comprehension (MRC) has been tried more or less, unsupervised ODQA has not been touched according to our best knowledge. This paper thus pioneers the work of unsupervised ODQA by formally introducing the task and proposing a series of key data construction methods. Our exploration in this work inspiringly shows unsupervised ODQA can reach up to 86% performance of supervised ones.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 14 of its 21 references that are in the map. First posted on arXiv 31 Aug 2021.
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14 of 21 references.
References · 14
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
- 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
- 2020Dense Passage Retrieval for Open-Domain Question Answeringcited by 3,824
- 2017TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehensioncited by 2,955
- 2020REALM: Retrieval-Augmented Language Model Pre-Trainingcited by 2,141
- 2020Leveraging Passage Retrieval with Generative Models for Open Domain Question Answeringcited by 1,210
- 2019Latent Retrieval for Weakly Supervised Open Domain Question Answeringcited by 695
- 2020Distilling Knowledge from Reader to Retriever for Question Answeringcited by 226
- 2020Unsupervised Question Decomposition for Question Answeringcited by 118
- 2019Unsupervised Question Answering by Cloze Translationcited by 59
- 2020Pre-Training Transformers as Energy-Based Cloze Modelscited by 52
- 2020Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answeringcited by 39
2 more
- 2019Span Selection Pre-training for Question Answeringcited by 36
- 2020Harvesting and Refining Question-Answer Pairs for Unsupervised QAcited by 20
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