Search Results for author: Emily Prud{'}hommeaux

Found 17 papers, 0 papers with code

Predicting pragmatic discourse features in the language of adults with autism spectrum disorder

no code implementations ACL 2021 Christine Yang, Duanchen Liu, Qingyun Yang, Zoey Liu, Emily Prud{'}hommeaux

Individuals with autism spectrum disorder (ASD) experience difficulties in social aspects of communication, but the linguistic characteristics associated with deficits in discourse and pragmatic expression are often difficult to precisely identify and quantify.

Informativeness

Fully Convolutional ASR for Less-Resourced Endangered Languages

no code implementations LREC 2020 Bao Thai, Robert Jimerson, Raymond Ptucha, Emily Prud{'}hommeaux

The application of deep learning to automatic speech recognition (ASR) has yielded dramatic accuracy increases for languages with abundant training data, but languages with limited training resources have yet to see accuracy improvements on this scale.

Acoustic Modelling Automatic Speech Recognition +2

A dataset for identifying actionable feedback in collaborative software development

no code implementations ACL 2018 Benjamin S. Meyers, Nuthan Munaiah, Emily Prud{'}hommeaux, Andrew Meneely, Josephine Wolff, Cecilia Ovesdotter Alm, Pradeep Murukannaiah

Software developers and testers have long struggled with how to elicit proactive responses from their coworkers when reviewing code for security vulnerabilities and errors.

An Analysis and Visualization Tool for Case Study Learning of Linguistic Concepts

no code implementations EMNLP 2017 Cecilia Ovesdotter Alm, Benjamin Meyers, Emily Prud{'}hommeaux

We present an educational tool that integrates computational linguistics resources for use in non-technical undergraduate language science courses.

Active Learning

Vector space models for evaluating semantic fluency in autism

no code implementations ACL 2017 Emily Prud{'}hommeaux, Jan van Santen, Douglas Gliner

A common test administered during neurological examination is the semantic fluency test, in which the patient must list as many examples of a given semantic category as possible under timed conditions.

Analyzing Gender Bias in Student Evaluations

no code implementations COLING 2016 Andamlak Terkik, Emily Prud{'}hommeaux, Cecilia Ovesdotter Alm, Christopher Homan, Scott Franklin

University students in the United States are routinely asked to provide feedback on the quality of the instruction they have received.

Sentiment Analysis

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