Daniel Wiechmann
16 papers · 2020–2023 · 5 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (28) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Silver 🏆 Keyword Champion (3)
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Research topics
Machine Learning
(12)
Natural Language Processing
(11)
Applications
(10)
Core Methods
(10)
Deep Learning
(9)
Architectures
(8)
Artificial Intelligence
(7)
Core AI
(5)
Healthcare & Medicine
(2)
Application Areas
(2)
Clinical
(2)
Generation
(2)
Learning Paradigms
(2)
Learning Types · Deep Learning
(2)
Learning Types · Machine Learning
(2)
Keywords
psycholinguistic feature
(6)
text classification
(6)
mental health detection
(3)
transformer model
(3)
recurrent neural network
(3)
feature ablation
(3)
social media analysis
(2)
linguistic feature
(2)
linguistic complexity
(2)
pre-trained language model
(2)
fake news detection
(2)
bidirectional long short-term memory
(2)
text simplification
(1)
class imbalance
(1)
eye tracking
(1)
data augmentation
(1)
transfer learning
(1)
model fusion
(1)
semantic similarity
(1)
german language
(1)
Papers
SMHD-GER: A Large-Scale Benchmark Dataset for Automatic Mental Health Detection from Social Media in German
EACL 2023
What to Fuse and How to Fuse: Exploring Emotion and Personality Fusion Strategies for Explainable Mental Disorder Detection
ACL 2023
Exploring Hybrid and Ensemble Models for Multiclass Prediction of Mental Health Status on Social Media
EMNLP 2022
Improving the Generalizability of Text-Based Emotion Detection by Leveraging Transformers with Psycholinguistic Features
EMNLP 2022
MANTIS at SMM4H’2022: Pre-Trained Language Models Meet a Suite of Psycholinguistic Features for the Detection of Self-Reported Chronic Stress
COLING 2022
MANTIS at TSAR-2022 Shared Task: Improved Unsupervised Lexical Simplification with Pretrained Encoders
EMNLP 2022
Measuring the Impact of (Psycho-)Linguistic and Readability Features and Their Spill Over Effects on the Prediction of Eye Movement Patterns
ACL 2022
(Psycho-)Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplification
EMNLP 2022
Pushing on Personality Detection from Verbal Behavior: A Transformer Meets Text Contours of Psycholinguistic Features
ACL 2022
The Best of Both Worlds: Combining Engineered Features with Transformers for Improved Mental Health Prediction from Reddit Posts
COLING 2022
Alzheimer’s Disease Detection from Spontaneous Speech Through Combining Linguistic Complexity and (Dis)Fluency Features with Pretrained Language Models
Interspeech 2021
Automated Classification of Written Proficiency Levels on the CEFR-Scale through Complexity Contours and RNNs
EACL 2021
FANG-COVID: A New Large-Scale Benchmark Dataset for Fake News Detection in German
EMNLP 2021
Language that Captivates the Audience: Predicting Affective Ratings of TED Talks in a Multi-Label Classification Task
EACL 2021
A Language-Based Approach to Fake News Detection Through Interpretable Features and BRNN
COLING 2020
Becoming Linguistically Mature: Modeling English and German Children’s Writing Development Across School Grades
ACL 2020