Methods › Natural Language Processing › Question Answering Models › TransferQA
TransferQA
Introduced by Zhaojiang Lin et al. in Zero-Shot Dialogue State Tracking via Cross-Task Transfer
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
TransferQA is a transferable generative QA model, built upon T5 that combines extractive QA and multi-choice QA via a text-to-text transformer framework, and tracks both categorical slots and non-categorical slots in DST. In addition, it introduces two effective ways to construct unanswerable questions, namely, negative question sampling and context truncation, which enable the model to handle “none” value slots in the zero-shot DST setting.
Papers archive 2025-07-28
1 shown of 1, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Zero-Shot Dialogue State Tracking via Cross-Task Transfer 10 Sep 2021 · 1 repository · arXiv:2109.04655
Tasks archive 2025-07-28
3 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Dialogue State Tracking | 1 |
| Question Answering | 1 |
| Transfer Learning | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections