Papers by Stalin Varanasi
AutoEQA: Auto-Encoding Questions for Extractive Question Answering (2021.findings-emnlp)
Copied to clipboard
| Challenge: | Extractive question answering models are reliant on annotations of answer-spans in the corresponding passages. |
| Approach: | They propose a method that auto-encodes a question and generates corresponding questions from it. |
| Outcome: | The proposed method performs well in a zero-shot setting and can provide an additional loss to boost performance for extractive question answering (EQA). |