Yu Qiao
Affiliations:- RWTH Aachen University, Germany
According to our database1,
Yu Qiao
authored at least 22 papers
between 2018 and 2024.
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Bibliography
2024
Transparent but Powerful: Explainability, Accuracy, and Generalizability in ADHD Detection from Social Media Data.
CoRR, 2024
2023
MANTIS at #SMM4H 2023: Leveraging Hybrid and Ensemble Models for Detection of Social Anxiety Disorder on Reddit.
CoRR, 2023
SMHD-GER: A Large-Scale Benchmark Dataset for Automatic Mental Health Detection from Social Media in German.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
What to Fuse and How to Fuse: Exploring Emotion and Personality Fusion Strategies for Explainable Mental Disorder Detection.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
MANTIS at TSAR-2022 Shared Task: Improved Unsupervised Lexical Simplification with Pretrained Encoders.
CoRR, 2022
(Psycho-)Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplification.
CoRR, 2022
Improving the Generalizability of Text-Based Emotion Detection by Leveraging Transformers with Psycholinguistic Features.
CoRR, 2022
Measuring the Impact of (Psycho-)Linguistic and Readability Features and Their Spill Over Effects on the Prediction of Eye Movement Patterns.
CoRR, 2022
Pushing on Personality Detection from Verbal Behavior: A Transformer Meets Text Contours of Psycholinguistic Features.
Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, 2022
SPADE: A Big Five-Mturk Dataset of Argumentative Speech Enriched with Socio-Demographics for Personality Detection.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
The Best of Both Worlds: Combining Engineered Features with Transformers for Improved Mental Health Prediction from Reddit Posts.
Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, 2022
MANTIS at SMM4H'2022: Pre-Trained Language Models Meet a Suite of Psycholinguistic Features for the Detection of Self-Reported Chronic Stress.
Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, 2022
Exploring Hybrid and Ensemble Models for Multiclass Prediction of Mental Health Status on Social Media.
Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis, 2022
2021
Prediction of Listener Perception of Argumentative Speech in a Crowdsourced Dataset Using (Psycho-)Linguistic and Fluency Features.
CoRR, 2021
The Impact of ASR on the Automatic Analysis of Linguistic Complexity and Sophistication in Spontaneous L2 Speech.
CoRR, 2021
Language that Captivates the Audience: Predicting Affective Ratings of TED Talks in a Multi-Label Classification Task.
Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, 2021
The Impact of ASR on the Automatic Analysis of Linguistic Complexity and Sophistication in Spontaneous L2 Speech.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
Alzheimer's Disease Detection from Spontaneous Speech Through Combining Linguistic Complexity and (Dis)Fluency Features with Pretrained Language Models.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
Automated Classification of Written Proficiency Levels on the CEFR-Scale through Complexity Contours and RNNs.
Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications, 2021
2020
Understanding the Dynamics of Second Language Writing through Keystroke Logging and Complexity Contours.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
Becoming Linguistically Mature: Modeling English and German Children's Writing Development Across School Grades.
Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications, 2020
2018
Text Genre Classification Based on Linguistic Complexity Contours Using A Recurrent Neural Network.
Proceedings of the Tenth International Workshop Modelling and Reasoning in Context co-located with the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018) and the 23rd European Conference on Artificial Intelligence (ECAI 2018), 2018