Daniel Wiechmann

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 28

Top Topics

Linguistic Features

Top Venues

Publications

Sourabh Zanwar, Daniel Wiechmann, Yu Qiao, Elma Kerz
MANTIS at #SMM4H 2023: Leveraging Hybrid and Ensemble Models for Detection of Social Anxiety Disorder on Reddit. CoRR (2023)
Sourabh Zanwar, Daniel Wiechmann, Yu Qiao, Elma Kerz
SMHD-GER: A Large-Scale Benchmark Dataset for Automatic Mental Health Detection from Social Media in German. EACL (Findings) (2023)
Sourabh Zanwar, Xiaofei Li, Daniel Wiechmann, Yu Qiao, Elma Kerz
What to Fuse and How to Fuse: Exploring Emotion and Personality Fusion Strategies for Explainable Mental Disorder Detection. ACL (Findings) (2023)
Sourabh Zanwar, Daniel Wiechmann, Yu Qiao, Elma Kerz
Exploring Hybrid and Ensemble Models for Multiclass Prediction of Mental Health Status on Social Media. LOUHI@EMNLP (2022)
Sourabh Zanwar, Daniel Wiechmann, Yu Qiao, Elma Kerz
MANTIS at SMM4H'2022: Pre-Trained Language Models Meet a Suite of Psycholinguistic Features for the Detection of Self-Reported Chronic Stress. SMM4H@COLING (2022)
Sourabh Zanwar, Daniel Wiechmann, Yu Qiao, Elma Kerz
Improving the Generalizability of Text-Based Emotion Detection by Leveraging Transformers with Psycholinguistic Features. CoRR (2022)
Elma Kerz, Yu Qiao, Sourabh Zanwar, Daniel Wiechmann
Pushing on Personality Detection from Verbal Behavior: A Transformer Meets Text Contours of Psycholinguistic Features. CoRR (2022)
Yu Qiao, Xiaofei Li, Daniel Wiechmann, Elma Kerz
(Psycho-)Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplification. CoRR (2022)
Daniel Wiechmann, Yu Qiao, Elma Kerz, Justus Mattern
Measuring the Impact of (Psycho-)Linguistic and Readability Features and Their Spill Over Effects on the Prediction of Eye Movement Patterns. CoRR (2022)
Elma Kerz, Yu Qiao, Sourabh Zanwar, Daniel Wiechmann
SPADE: A Big Five-Mturk Dataset of Argumentative Speech Enriched with Socio-Demographics for Personality Detection. LREC (2022)
Xiaofei Li, Daniel Wiechmann, Yu Qiao, Elma Kerz
MANTIS at TSAR-2022 Shared Task: Improved Unsupervised Lexical Simplification with Pretrained Encoders. CoRR (2022)
Sourabh Zanwar, Daniel Wiechmann, Yu Qiao, Elma Kerz
The Best of Both Worlds: Combining Engineered Features with Transformers for Improved Mental Health Prediction from Reddit Posts. SMM4H@COLING (2022)
Daniel Wiechmann, Elma Kerz
Measuring the Impact of (Psycho-)Linguistic and Readability Features and Their Spill Over Effects on the Prediction of Eye Movement Patterns. ACL (1) (2022)
Sourabh Zanwar, Daniel Wiechmann, Yu Qiao, Elma Kerz
Exploring Hybrid and Ensemble Models for Multiclass Prediction of Mental Health Status on Social Media. CoRR (2022)
Elma Kerz, Yu Qiao, Sourabh Zanwar, Daniel Wiechmann
Pushing on Personality Detection from Verbal Behavior: A Transformer Meets Text Contours of Psycholinguistic Features. WASSA@ACL (2022)
Elma Kerz, Daniel Wiechmann, Yu Qiao, Emma Tseng, Marcus Ströbel
Automated Classification of Written Proficiency Levels on the CEFR-Scale through Complexity Contours and RNNs. BEA@EACL (2021)
Yu Qiao, Xuefeng Yin, Daniel Wiechmann, Elma Kerz
Alzheimer's Disease Detection from Spontaneous Speech through Combining Linguistic Complexity and (Dis)Fluency Features with Pretrained Language Models. CoRR (2021)
Elma Kerz, Yu Qiao, Daniel Wiechmann
Language that Captivates the Audience: Predicting Affective Ratings of TED Talks in a Multi-Label Classification Task. WASSA@EACL (2021)
Yu Qiao, Sourabh Zanwar, Rishab Bhattacharyya, Daniel Wiechmann, Wei Zhou, Elma Kerz, Ralf Schlüter
Prediction of Listener Perception of Argumentative Speech in a Crowdsourced Dataset Using (Psycho-)Linguistic and Fluency Features. CoRR (2021)
Yu Qiao, Xuefeng Yin, Daniel Wiechmann, Elma Kerz
Alzheimer's Disease Detection from Spontaneous Speech Through Combining Linguistic Complexity and (Dis)Fluency Features with Pretrained Language Models. Interspeech (2021)
Elma Kerz, Fabio Pruneri, Daniel Wiechmann, Yu Qiao, Marcus Ströbel
Understanding the Dynamics of Second Language Writing through Keystroke Logging and Complexity Contours. LREC (2020)
Elma Kerz, Daniel Wiechmann, Tandis Silkens
Personality Traits Moderate the Relationship between Statistical Learning Ability and Second-Language Learners' Sentence Comprehension. CogSci (2020)
Elma Kerz, Yu Qiao, Daniel Wiechmann, Marcus Ströbel
Becoming Linguistically Mature: Modeling English and German Children's Writing Development Across School Grades. BEA@ACL (2020)
Elma Kerz, Daniel Wiechmann
Effects of Statistical Learning Ability on the Second Language Processing of Multiword Sequences. Europhras (2019)
Elma Kerz, Daniel Wiechmann, Morten H. Christiansen
Tuning to Multiple Statistics: Second Language Processing of Multiword Sequences Across Registers. CogSci (2019)
Marcus Ströbel, Elma Kerz, Daniel Wiechmann, Yu Qiao
Text Genre Classification Based on Linguistic Complexity Contours Using A Recurrent Neural Network. MRC@IJCAI (2018)
Elma Kerz, Daniel Wiechmann
Individual Differences in L2 Processing of Multi-word Phrases: Effects of Working Memory and Personality. Europhras (2017)
Marcus Ströbel, Elma Kerz, Daniel Wiechmann, Stella Neumann
CoCoGen - Complexity Contour Generator: Automatic Assessment of Linguistic Complexity Using a Sliding-Window Technique. CL4LC@COLING 2016 (2016)
Daniel Wiechmann, Judith Steinfeld, Elma Kerz
Modeling Bilingual Children's Acquisition of Complex Sentences in German. CogSci (2013)