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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence

Modeling Dialogues with Hashcode Representations: A Nonparametric Approach

February 1, 2023

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Authors

Sahil Garg

USC ISI


Irina Rish

U of Montreal


Guillermo Cecchi

IBM Research


Palash Goyal

USC ISI


Sarik Ghazarian

USC ISI


Shuyang Gao

USC ISI


Greg Ver Steeg

USC ISI


Aram Galstyan

USC ISI


DOI:

10.1609/aaai.v34i04.5813


Abstract:

We propose a novel dialogue modeling framework, the first-ever nonparametric kernel functions based approach for dialogue modeling, which learns hashcodes as text representations; unlike traditional deep learning models, it handles well relatively small datasets, while also scaling to large ones. We also derive a novel lower bound on mutual information, used as a model-selection criterion favoring representations with better alignment between the utterances of participants in a collaborative dialogue setting, as well as higher predictability of the generated responses. As demonstrated on three real-life datasets, including prominently psychotherapy sessions, the proposed approach significantly outperforms several state-of-art neural network based dialogue systems, both in terms of computational efficiency, reducing training time from days or weeks to hours, and the response quality, achieving an order of magnitude improvement over competitors in frequency of being chosen as the best model by human evaluators.

Topics: AAAI

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HOW TO CITE:

Sahil Garg||Irina Rish||Guillermo Cecchi||Palash Goyal||Sarik Ghazarian||Shuyang Gao||Greg Ver Steeg||Aram Galstyan Modeling Dialogues with Hashcode Representations: A Nonparametric Approach Proceedings of the AAAI Conference on Artificial Intelligence (2020) 3970-3979.

Sahil Garg||Irina Rish||Guillermo Cecchi||Palash Goyal||Sarik Ghazarian||Shuyang Gao||Greg Ver Steeg||Aram Galstyan Modeling Dialogues with Hashcode Representations: A Nonparametric Approach AAAI 2020, 3970-3979.

Sahil Garg||Irina Rish||Guillermo Cecchi||Palash Goyal||Sarik Ghazarian||Shuyang Gao||Greg Ver Steeg||Aram Galstyan (2020). Modeling Dialogues with Hashcode Representations: A Nonparametric Approach. Proceedings of the AAAI Conference on Artificial Intelligence, 3970-3979.

Sahil Garg||Irina Rish||Guillermo Cecchi||Palash Goyal||Sarik Ghazarian||Shuyang Gao||Greg Ver Steeg||Aram Galstyan. Modeling Dialogues with Hashcode Representations: A Nonparametric Approach. Proceedings of the AAAI Conference on Artificial Intelligence 2020 p.3970-3979.

Sahil Garg||Irina Rish||Guillermo Cecchi||Palash Goyal||Sarik Ghazarian||Shuyang Gao||Greg Ver Steeg||Aram Galstyan. 2020. Modeling Dialogues with Hashcode Representations: A Nonparametric Approach. "Proceedings of the AAAI Conference on Artificial Intelligence". 3970-3979.

Sahil Garg||Irina Rish||Guillermo Cecchi||Palash Goyal||Sarik Ghazarian||Shuyang Gao||Greg Ver Steeg||Aram Galstyan. (2020) "Modeling Dialogues with Hashcode Representations: A Nonparametric Approach", Proceedings of the AAAI Conference on Artificial Intelligence, p.3970-3979

Sahil Garg||Irina Rish||Guillermo Cecchi||Palash Goyal||Sarik Ghazarian||Shuyang Gao||Greg Ver Steeg||Aram Galstyan, "Modeling Dialogues with Hashcode Representations: A Nonparametric Approach", AAAI, p.3970-3979, 2020.

Sahil Garg||Irina Rish||Guillermo Cecchi||Palash Goyal||Sarik Ghazarian||Shuyang Gao||Greg Ver Steeg||Aram Galstyan. "Modeling Dialogues with Hashcode Representations: A Nonparametric Approach". Proceedings of the AAAI Conference on Artificial Intelligence, 2020, p.3970-3979.

Sahil Garg||Irina Rish||Guillermo Cecchi||Palash Goyal||Sarik Ghazarian||Shuyang Gao||Greg Ver Steeg||Aram Galstyan. "Modeling Dialogues with Hashcode Representations: A Nonparametric Approach". Proceedings of the AAAI Conference on Artificial Intelligence, (2020): 3970-3979.

Sahil Garg||Irina Rish||Guillermo Cecchi||Palash Goyal||Sarik Ghazarian||Shuyang Gao||Greg Ver Steeg||Aram Galstyan. Modeling Dialogues with Hashcode Representations: A Nonparametric Approach. AAAI[Internet]. 2020[cited 2023]; 3970-3979.


ISSN: 2374-3468


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