Subhashini Venugopalan


2022

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Context-Aware Abbreviation Expansion Using Large Language Models
Shanqing Cai | Subhashini Venugopalan | Katrin Tomanek | Ajit Narayanan | Meredith Morris | Michael Brenner
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Motivated by the need for accelerating text entry in augmentative and alternative communication (AAC) for people with severe motor impairments, we propose a paradigm in which phrases are abbreviated aggressively as primarily word-initial letters. Our approach is to expand the abbreviations into full-phrase options by leveraging conversation context with the power of pretrained large language models (LLMs). Through zero-shot, few-shot, and fine-tuning experiments on four public conversation datasets, we show that for replies to the initial turn of a dialog, an LLM with 64B parameters is able to exactly expand over 70% of phrases with abbreviation length up to 10, leading to an effective keystroke saving rate of up to about 77% on these exact expansions. Including a small amount of context in the form of a single conversation turn more than doubles abbreviation expansion accuracies compared to having no context, an effect that is more pronounced for longer phrases. Additionally, the robustness of models against typo noise can be enhanced through fine-tuning on noisy data.

2016

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Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text
Subhashini Venugopalan | Lisa Anne Hendricks | Raymond Mooney | Kate Saenko
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing

2015

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Translating Videos to Natural Language Using Deep Recurrent Neural Networks
Subhashini Venugopalan | Huijuan Xu | Jeff Donahue | Marcus Rohrbach | Raymond Mooney | Kate Saenko
Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

2014

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Integrating Language and Vision to Generate Natural Language Descriptions of Videos in the Wild
Jesse Thomason | Subhashini Venugopalan | Sergio Guadarrama | Kate Saenko | Raymond Mooney
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers