Abstract is missing.
- Introduction to the first Workshop on Context-aware NLP in eHealth1-2 [doi]
- MINDS: A Multi-label Emotion and Sentiment Classification Dataset Related to COVID-19Anjali Bhardwaj, Muhammad Abulaish. 3-13 [doi]
- Depression detection in Thai language posts based on attentive network modelsVajratiya Vajrobol, Unmesh Shukla, Amit Pundir, Sanjeev Singh, Geetika Jain Saxena. 14-22 [doi]
- CME2 Net: Contextual Medical Event Extraction Network for clinical notesAman Sinha, Ayan Vishwakarma, Marianne Clausel, Mathieu Constant. 23-29 [doi]
- Automatic Annotation of Training Data for Deep Learning Based De-identification of Narrative Clinical TextMartin Sundahl Laursen, Jannik Skyttegaard Pedersen, Pernille Just Vinholt, Thiusius Rajeeth Savarimuthu. 30-44 [doi]
- Stress Detection System using Natural Language Processing and Machine Learning TechniquesKirti Kumari, Sima Das. 45-55 [doi]
- Recognizing Question Entailment in Consumer Health Using a Query Formulation ApproachJooyeon Lee, Luan Huy Pham. 56-69 [doi]
- Interestingness from COVID-19 Data: Ontology and Transformer-Based MethodsAbhilash C. Basavaraju, Nihar Sanda, Kavi Mahesh. 70-80 [doi]