Text Genre Classification Based on Linguistic Complexity Contours Using A Recurrent Neural Network. - Marcus Ströbel; Elma Kerz; Daniel Wiechmann; Yu Qiao 005 (MRC@IJCAI, 2018)

Becoming Linguistically Mature: Modeling English and German Children's Writing Development Across School Grades. - Elma Kerz; Yu Qiao 005; Daniel Wiechmann; Marcus Ströbel (BEA@ACL, 2020)

Understanding the Dynamics of Second Language Writing through Keystroke Logging and Complexity Contours. - Elma Kerz; Fabio Pruneri; Daniel Wiechmann; Yu Qiao 005; Marcus Ströbel (LREC, 2020)

Automated Classification of Written Proficiency Levels on the CEFR-Scale through Complexity Contours and RNNs. - Elma Kerz; Daniel Wiechmann; Yu Qiao 005; Emma Tseng; Marcus Ströbel (BEA@EACL, 2021)

Alzheimer's Disease Detection from Spontaneous Speech Through Combining Linguistic Complexity and (Dis)Fluency Features with Pretrained Language Models. - Yu Qiao 005; Xuefeng Yin; Daniel Wiechmann; Elma Kerz (Interspeech, 2021)

The Impact of ASR on the Automatic Analysis of Linguistic Complexity and Sophistication in Spontaneous L2 Speech. - Yu Qiao 005; Wei Zhou 043; Elma Kerz; Ralf Schlüter (Interspeech, 2021)

Language that Captivates the Audience: Predicting Affective Ratings of TED Talks in a Multi-Label Classification Task. - Elma Kerz; Yu Qiao 005; Daniel Wiechmann (WASSA@EACL, 2021)

The Impact of ASR on the Automatic Analysis of Linguistic Complexity and Sophistication in Spontaneous L2 Speech. - Yu Qiao 005; Zhou Wei; Elma Kerz; Ralf Schlüter (CoRR, 2021)

Prediction of Listener Perception of Argumentative Speech in a Crowdsourced Dataset Using (Psycho-)Linguistic and Fluency Features. - Yu Qiao 005; Sourabh Zanwar; Rishab Bhattacharyya; Daniel Wiechmann; Wei Zhou 043; Elma Kerz; Ralf Schlüter (CoRR, 2021)

Exploring Hybrid and Ensemble Models for Multiclass Prediction of Mental Health Status on Social Media. - Sourabh Zanwar; Daniel Wiechmann; Yu Qiao 005; Elma Kerz (LOUHI@EMNLP, 2022)

MANTIS at SMM4H'2022: Pre-Trained Language Models Meet a Suite of Psycholinguistic Features for the Detection of Self-Reported Chronic Stress. - Sourabh Zanwar; Daniel Wiechmann; Yu Qiao 005; Elma Kerz (SMM4H@COLING, 2022)

The Best of Both Worlds: Combining Engineered Features with Transformers for Improved Mental Health Prediction from Reddit Posts. - Sourabh Zanwar; Daniel Wiechmann; Yu Qiao 005; Elma Kerz (SMM4H@COLING, 2022)

SPADE: A Big Five-Mturk Dataset of Argumentative Speech Enriched with Socio-Demographics for Personality Detection. - Elma Kerz; Yu Qiao 005; Sourabh Zanwar; Daniel Wiechmann (LREC, 2022)

Pushing on Personality Detection from Verbal Behavior: A Transformer Meets Text Contours of Psycholinguistic Features. - Elma Kerz; Yu Qiao 005; Sourabh Zanwar; Daniel Wiechmann (WASSA@ACL, 2022)

Measuring the Impact of (Psycho-)Linguistic and Readability Features and Their Spill Over Effects on the Prediction of Eye Movement Patterns. - Daniel Wiechmann; Yu Qiao 005; Elma Kerz; Justus Mattern (CoRR, 2022)

Improving the Generalizability of Text-Based Emotion Detection by Leveraging Transformers with Psycholinguistic Features. - Sourabh Zanwar; Daniel Wiechmann; Yu Qiao 005; Elma Kerz (CoRR, 2022)

(Psycho-)Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplification. - Yu Qiao 005; Xiaofei Li; Daniel Wiechmann; Elma Kerz (CoRR, 2022)

MANTIS at TSAR-2022 Shared Task: Improved Unsupervised Lexical Simplification with Pretrained Encoders. - Xiaofei Li; Daniel Wiechmann; Yu Qiao 005; Elma Kerz (CoRR, 2022)

What to Fuse and How to Fuse: Exploring Emotion and Personality Fusion Strategies for Explainable Mental Disorder Detection. - Sourabh Zanwar; Xiaofei Li; Daniel Wiechmann; Yu Qiao 005; Elma Kerz (ACL (Findings), 2023)

SMHD-GER: A Large-Scale Benchmark Dataset for Automatic Mental Health Detection from Social Media in German. - Sourabh Zanwar; Daniel Wiechmann; Yu Qiao 005; Elma Kerz (EACL (Findings), 2023)

MANTIS at #SMM4H 2023: Leveraging Hybrid and Ensemble Models for Detection of Social Anxiety Disorder on Reddit. - Sourabh Zanwar; Daniel Wiechmann; Yu Qiao 005; Elma Kerz (CoRR, 2023)

Transparent but Powerful: Explainability, Accuracy, and Generalizability in ADHD Detection from Social Media Data. - Daniel Wiechmann; Edward Kempa; Elma Kerz; Yu Qiao 005 (CoRR, 2024)