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Semantic Parsing

Semantic Parsing is the task of converting natural language texts into formal machine-understandable logical-form representations. This website surveys the work in this area.

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amr cnn conversational cross-domain cross-lingual dataset evaluation glove lstm meta-learning multi-lingual reinforcement-learning sql svm transformer

About This Site

This site is an experiment: a living literature review that allows you explore, search and navigate the literature in this area, by following a taxonomy based on the underlying design principles of each model.

Contributing

This research area is evolving so fast that a static review cannot keep up. But a website can! We hope to make this site a living document. Anyone can add a paper to this web site, essentially by creating one Markdown file. To contribute, open a pull request in GitHub, by following these instructions for contributing.

Contributors

The core survey and the original taxonomy was created by

Contributors to the website

This website accepts external contributions. Please, feel free to add your name below, once you contribute to this website. A comprehensive list can be found here.

The structure of this survey has been borrowed from the ml4code initiative.