Papers with multimodal synthesis techniques
Benchmarking Multimodal Regex Synthesis with Complex Structures (2020.acl-main)
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| Challenge: | Existing datasets for regex generation from natural language are limited in complexity . Existing regex synthesis datasets are simple and the language used to describe them is not diverse . |
| Approach: | They propose a dataset for regex generation from natural language that generates regexes using a probabilistic grammar and pre-defined macros. |
| Outcome: | The proposed dataset is compared to existing datasets for regex generation from natural language . it generates the regexes using a probabilistic grammar with pre-defined macros observed from real-world StackOverflow posts. |