readme: ---
  license: mit
  language:
  - en
  metrics:
  - accuracy
  pipeline_tag: text-classification
  datasets:
  - grail_qa
  ---
  
  GrailQA class retrieval model of [TIARA](https://arxiv.org/abs/2210.12925).
  
  [[paper](https://arxiv.org/abs/2210.12925)] [[code](https://github.com/microsoft/KC/tree/main/papers/TIARA)] [[poster](https://yihengshu.github.io/homepage/EMNLP22poster.pdf)] [[slides](https://yihengshu.github.io/homepage/EMNLP22slides.pdf)] [[video](https://s3.amazonaws.com/pf-user-files-01/u-59356/uploads/2022-11-04/fr03tjr/EMNLP22.mp4)] [[ACL Anthology](https://aclanthology.org/2022.emnlp-main.555/)] [[BibTeX](https://aclanthology.org/2022.emnlp-main.555.bib)]
  
  Model and Task: BertForSequenceClassification
  
  Input format: `question [SEP] class`, e.g.,
  
  ```
  what napa county wine is 13.9 percent alcohol by volume? [SEP] wine.wine
  ```
  
  Output: a matching score.