1 code implementation • RaPID (LREC) 2022 • Robert C. Gale, Mikala Fleegle, Gerasimos Fergadiotis, Steven Bedrick
We present the outcome of the Post-Stroke Speech Transcription (PSST) challenge.
no code implementations • EMNLP 2021 • Shiran Dudy, Steven Bedrick, Bonnie Webber
Many NLG tasks such as summarization, dialogue response, or open domain question answering focus primarily on a source text in order to generate a target response.
no code implementations • 19 Apr 2021 • Kirk Roberts, Tasmeer Alam, Steven Bedrick, Dina Demner-Fushman, Kyle Lo, Ian Soboroff, Ellen Voorhees, Lucy Lu Wang, William R Hersh
We present an overview of the TREC-COVID Challenge, an information retrieval (IR) shared task to evaluate search on scientific literature related to COVID-19.
1 code implementation • EMNLP (Eval4NLP) 2020 • Shiran Dudy, Steven Bedrick
Current evaluation metrics for language modeling and generation rely heavily on the accuracy of predicted (or generated) words as compared to a reference ground truth.
no code implementations • WS 2020 • Shiran Dudy, Steven Bedrick
Neural language models typically employ a categorical approach to prediction and training, leading to well-known computational and numerical limitations.
no code implementations • 9 May 2020 • Ellen Voorhees, Tasmeer Alam, Steven Bedrick, Dina Demner-Fushman, William R Hersh, Kyle Lo, Kirk Roberts, Ian Soboroff, Lucy Lu Wang
TREC-COVID is a community evaluation designed to build a test collection that captures the information needs of biomedical researchers using the scientific literature during a pandemic.
1 code implementation • ACL 2019 • Kyle Gorman, Steven Bedrick
It is standard practice in speech {\&} language technology to rank systems according to their performance on a test set held out for evaluation.
no code implementations • WS 2019 • Rui Dong, David Smith, Shiran Dudy, Steven Bedrick
Language models have broad adoption in predictive typing tasks.
no code implementations • WS 2019 • Katy McKinney-Bock, Steven Bedrick
In clinical assessment of people with aphasia, impairment in the ability to recall and produce words for objects (anomia) is assessed using a confrontation naming task, where a target stimulus is viewed and a corresponding label is spoken by the participant.
no code implementations • WS 2018 • Shiran Dudy, Steven Bedrick
Icon-based communication systems are widely used in the field of Augmentative and Alternative Communication.
no code implementations • WS 2018 • Shiran Dudy, Shaobin Xu, Steven Bedrick, David Smith
Brain-computer interfaces and other augmentative and alternative communication devices introduce language-modeing challenges distinct from other character-entry methods.
no code implementations • WS 2017 • Joel Adams, Steven Bedrick, Gerasimos Fergadiotis, Kyle Gorman, Jan van Santen
We present a system for automatically detecting and classifying phonologically anomalous productions in the speech of individuals with aphasia.
no code implementations • LREC 2016 • Stephen Wu, Tamara Timmons, Amy Yates, Meikun Wang, Steven Bedrick, William Hersh, Hongfang Liu
Privacy concerns have often served as an insurmountable barrier for the production of research and resources in clinical information retrieval (IR).