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Intent based Task Representation Learning

This repository contains the code and sample data for running the method proposed in the following paper: Naoki Otani, Michael Gamon, Sujay Kumar Jauhar, Mei Yang, Sri Raghu Malireddi, and Oriana Riva. 2022. LITE: Intent-based Task Representation Learning Using Weak Supervision. In Proc. of NAACL-HLT.

Directories:

  • DataPreprocessing/: code and sample data for data preprocessing
  • TaskReprLearning/: code and data for training an encoder
  • Evaluation/: code for running downstream experiments

See README.md in each directory for more details.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.

Citing this Work

If you use the code or data in your work, please cite the following paper:

Naoki Otani, Michael Gamon, Sujay Kumar Jauhar, Mei Yang, Sri Raghu Malireddi, and Oriana Riva. 2022. LITE: Intent-based Task Representation Learning Using Weak Supervision. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), Seattle, Washington, July. Association for Computational Linguistics.

@inproceedings{otani-etal-2022-lite,
title = "{LITE}: {I}ntent-based Task Representation Learning Using Weak Supervision.",
author = "Otani, Naoki  and
          Gamon, Michael  and
          Jauhar, Sujay Kumar  and
          Yang, Mei  and
          Malireddi, Sri Raghu  and
          Riva, Oriana",
          booktitle = "Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
          month = jul,
          year = "2022",
          address = "Seattle, Washington",
          publisher = "Association for Computational Linguistics",
}