no code implementations • 8 Jun 2023 • Colin Lea, Dianna Yee, Jaya Narain, Zifang Huang, Lauren Tooley, Jeffrey P. Bigham, Leah Findlater
Many consumer speech recognition systems are not tuned for people with speech disabilities, resulting in poor recognition and user experience, especially for severe speech differences.
no code implementations • 22 Feb 2022 • Dhruv Jain, Khoa Huynh Anh Nguyen, Steven Goodman, Rachel Grossman-Kahn, Hung Ngo, Aditya Kusupati, Ruofei Du, Alex Olwal, Leah Findlater, Jon E. Froehlich
Recent advances have enabled automatic sound recognition systems for deaf and hard of hearing (DHH) users on mobile devices.
no code implementations • 15 Feb 2022 • Colin Lea, Zifang Huang, Dhruv Jain, Lauren Tooley, Zeinab Liaghat, Shrinath Thelapurath, Leah Findlater, Jeffrey P. Bigham
Voice assistants have become an essential tool for people with various disabilities because they enable complex phone- or tablet-based interactions without the need for fine-grained motor control, such as with touchscreens.
no code implementations • LREC 2020 • Jordan Boyd-Graber, Fenfei Guo, Leah Findlater, Mohit Iyyer
Text representations are critical for modern natural language processing.
1 code implementation • EMNLP 2020 • Michelle Yuan, Mozhi Zhang, Benjamin Van Durme, Leah Findlater, Jordan Boyd-Graber
Cross-lingual word embeddings transfer knowledge between languages: models trained on high-resource languages can predict in low-resource languages.
no code implementations • ACL 2019 • Varun Kumar, Alison Smith-Renner, Leah Findlater, Kevin Seppi, Jordan Boyd-Graber
To address the lack of comparative evaluation of Human-in-the-Loop Topic Modeling (HLTM) systems, we implement and evaluate three contrasting HLTM modeling approaches using simulation experiments.
no code implementations • 27 Sep 2018 • Fenfei Guo, Mohit Iyyer, Leah Findlater, Jordan Boyd-Graber
We present a differentiable multi-prototype word representation model that disentangles senses of polysemous words and produces meaningful sense-specific embeddings without external resources.
no code implementations • TACL 2017 • Alison Smith, Tak Yeon Lee, Forough Poursabzi-Sangdeh, Jordan Boyd-Graber, Niklas Elmqvist, Leah Findlater
Probabilistic topic models are important tools for indexing, summarizing, and analyzing large document collections by their themes.