Factoid QA
http://www.semanlink.net/tag/factoid_qa
Documents tagged with Factoid QA[2004.11892] Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering
http://www.semanlink.net/doc/2022/02/2004_11892_template_based_que
[Gihub](doc:2021/12/awslabs_unsupervised_qa_templa)
> we expand
upon the recently introduced task of unsupervised
question answering ([Lewis et al., 2019, Unsupervised Question Answering by Cloze Translation](doc:2021/12/1906_04980_unsupervised_quest)) to
examine the extent to which synthetic training data
alone can be used to train a QA model.
focus on extractive, **factoid QA, where answers are named entities** -> focus on creating a relevant question from a
(context, answer) pair in an unsupervised manner
> We improve over [Lewis et al, 2019] by proposing a simple, intuitive, retrieval
and template-based question generation
approach
>
> Question Generation Pipeline: the original
context sentence containing a given answer is used as
a query to retrieve a related sentence containing matching
entities, which is input into our question-style converter
to create QA training data.
2022-02-11T14:06:18Z