Programme Schedule
Title: Opening Remarks
Start Time: 18/12/2022 14:00:00
End Time: 18/12/2022 14:10:00
Paper Session 1
Title : Anjali Bhardwaj and Muhammad Abulaish. MINDS: A Multi-label Emotion and Sentiment Classification Dataset Related to COVID-19
Paper ID: 1690
Start Time: 18/12/2022 14:10:00
End Time: 18/12/2022 14:30:00
Title : B M Kalpajeet, Sunil Saumya and Shankar Biradar. Depression clinic: People's mental health prediction using information from Online Social media Networks(OSN)
Paper ID: 2390
Start Time: 18/12/2022 14:30:00
End Time: 18/12/2022 14:50:00
Title : Vajratiya Vajrobol, Unmesh Shukla, Geetika Jain Saxena, Amit Pundir and Sanjeev Singh. Depression detection in Thai language posts based on attentive network models
Paper ID: 2612
Start Time: 18/12/2022 14:50:00
End Time: 18/12/2022 15:10:00
Title : Aman Sinha, Ayan Vishwakarma, Marianne Clausel and Mathieu Constant. CME2 Net: Contextual Medical Event Extraction Network for clinical notes
Paper ID: 5918
Start Time: 18/12/2022 15:10:00
End Time: 18/12/2022 15:30:00
Title : Martin Sundahl Laursen, Jannik Skyttegaard Pedersen, Pernille Just Vinholt and Thiusius Rajeeth Savarimuthu. Automatic Annotation of Training Data for Deep Learning Based De-identification of Narrative Clinical Text
Paper ID: 6136
Start Time: 18/12/2022 15:30:00
End Time: 18/12/2022 15:50:00
Break: 18/12/2022 15:50:00 - 18/12/2022 16:20:00
Paper Session 2
Title : Kirti Kumari and Sima Das. Stress Detection System using Natural Language Processing and Machine Learning Techniques
Paper ID: 6574
Start Time: 18/12/2022 16:20:00
End Time: 18/12/2022 16:40:00
Title : Jooyeon Lee, Luan Pham and Ozlem Uzuner. Recognizing Question Entailment in Consumer Health Using a Query Formulation Approach
Paper ID: 8177
Start Time: 18/12/2022 16:40:00
End Time: 18/12/2022 17:00:00
Title : Abhilash C B, Nihar Sanda and Kavi Mahesh. Interestingness from COVID-19 Data: Ontology and Transformer-Based Methods
Paper ID: 8877
Start Time: 18/12/2022 17:00:00
End Time: 18/12/2022 17:20:00
Title: Closing Remarks
Start Time: 18/12/2022 17:20:00
End Time: 18/12/2022 17:30:00