Papers with Generating natural language
Multi-Task Neural Models for Translating Between Styles Within and Across Languages (C18-1)
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| Challenge: | Generating natural language requires conveying content in an appropriate style. |
| Approach: | They propose to solve two related tasks on generating text of varying formality jointly using multi-task learning. |
| Outcome: | The proposed models achieve state-of-the-art performance for formality transfer and formality-sensitive machine translation without training on style-annotated translation examples. |
Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach (2020.findings-emnlp)
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| Challenge: | Generating natural language under complex constraints is a principled formulation towards controllable text generation. |
| Approach: | They propose a method to specify combinatorial constraints for sentence generation . they use a tree search algorithm embedded into the proposal process of the Markov Chain Monte Carlo . |
| Outcome: | The proposed method achieves consistent and significant improvement on multiple language generation tasks. |