Papers by Marjan Delpisheh
Question Generation Using Sequence-to-Sequence Model with Semantic Role Labels (2023.eacl-main)
Copied to clipboard
| Challenge: | Existing question generation methods that generate multiple questions from text are labor-intensive and do not capture the complexity of ways a human asks questions. |
| Approach: | They propose a question generation method that combines the benefits of rule-based and neural sequence-to-sequence (Seq2Sequen) models. |
| Outcome: | The proposed method significantly improves the state-of-the-art neural question generation approaches on three real-world data sets. |