Kathleen C. Fraser

According to our database1, Kathleen C. Fraser authored at least 36 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Examining Gender and Racial Bias in Large Vision-Language Models Using a Novel Dataset of Parallel Images.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
Concept-Based Explanations to Test for False Causal Relationships Learned by Abusive Language Classifiers.
CoRR, 2023

The crime of being poor.
CoRR, 2023

A Friendly Face: Do Text-to-Image Systems Rely on Stereotypes when the Input is Under-Specified?
CoRR, 2023

Reducing Fixation Error Due to Natural Head Movement in a Webcam-Based Eye-Tracking Method.
Proceedings of the IEEE Sensors Applications Symposium, 2023

Design and Validation of a System to Synchronize Speech Recognition and Eye-Tracking Measurements.
Proceedings of the IEEE Sensors Applications Symposium, 2023

Reference-Free Summarization Evaluation with Large Language Models.
Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems, 2023

2022
Computational Modeling of Stereotype Content in Text.
Frontiers Artif. Intell., 2022

Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models.
CoRR, 2022

Does Moral Code Have a Moral Code? Probing Delphi's Moral Philosophy.
CoRR, 2022

Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Extracting Age-Related Stereotypes from Social Media Texts.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information.
Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2022

Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation Vectors.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective.
J. Artif. Intell. Res., 2021

Measuring Cognitive Status from Speech in a Smart Home Environment.
IEEE Instrum. Meas. Mag., 2021

Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Extensive Error Analysis and a Learning-Based Evaluation of Medical Entity Recognition Systems to Approximate User Experience.
Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing, 2020

2019
Multilingual word embeddings for the assessment of narrative speech in mild cognitive impairment.
Comput. Speech Lang., 2019

Extracting UMLS Concepts from Medical Text Using General and Domain-Specific Deep Learning Models.
CoRR, 2019

How do we feel when a robot dies? Emotions expressed on Twitter before and after hitchBOT's destruction.
Proceedings of the Tenth Workshop on Computational Approaches to Subjectivity, 2019

Multilingual prediction of Alzheimer's disease through domain adaptation and concept-based language modelling.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Recognizing UMLS Semantic Types with Deep Learning.
Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis LOUHI@EMNLP 2019, 2019

2018
Automated Syntactic Analysis of Language Abilities in Persons with Mild and Subjective Cognitive Impairment.
Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 2018

A Swedish Cookie-Theft Corpus.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

2017
Automatic Text and Speech Processing for the Detection of Dementia.
PhD thesis, 2017

An analysis of eye-movements during reading for the detection of mild cognitive impairment.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Detecting late-life depression in Alzheimer's disease through analysis of speech and language.
Proceedings of the 3rd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2016

Speech Recognition in Alzheimer's Disease and in its Assessment.
Proceedings of the Interspeech 2016, 2016

2015
Using linguistic features longitudinally to predict clinical scores for Alzheimer's disease and related dementias.
Proceedings of the 6th Workshop on Speech and Language Processing for Assistive Technologies, 2015

Sentence segmentation of aphasic speech.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

2014
Projected Barzilai-Borwein Method with Infeasible Iterates for Nonnegative Least-Squares Image Deblurring.
Proceedings of the Canadian Conference on Computer and Robot Vision, 2014

Using statistical parsing to detect agrammatic aphasia.
Proceedings of BioNLP, Baltimore, Maryland, USA, 2014

Comparison of different feature sets for identification of variants in progressive aphasia.
Proceedings of the Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2014

2013
Automatic speech recognition in the diagnosis of primary progressive aphasia.
Proceedings of the Fourth Workshop on Speech and Language Processing for Assistive Technologies, 2013

Using text and acoustic features to diagnose progressive aphasia and its subtypes.
Proceedings of the INTERSPEECH 2013, 2013


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