clinical nlp

MIMICause: Representation and automatic extraction of causal relation types from clinical notes ACL 2022 Parameter Efficient Transfer Learning for Suicide Attempt and Ideation Detection EMNLP 2022 Pretrained Biomedical Language Models for Clinical NLP in Spanish ACL 2022 RealMedDial: A Real Telemedical Dialogue Dataset Collected from Online Chinese Short-Video Clips COLING 2022 Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions NeurIPS 2022 Summarizing Patients’ Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models COLING 2022 Towards Intelligent Clinically-Informed Language Analyses of People with Bipolar Disorder and Schizophrenia EMNLP 2022 Utility Preservation of Clinical Text After De-Identification ACL 2022 What Do You See in this Patient? Behavioral Testing of Clinical NLP Models NAACL 2022 A Linguistic Annotation Framework to Study Interactions in Multilingual Healthcare Conversational Forums EMNLP 2021 Assessing multiple word embeddings for named entity recognition of professions and occupations in health-related social media NAACL 2021 Classification of COVID19 tweets using Machine Learning Approaches NAACL 2021 CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes ACL 2021 Coreference Resolution for the Biomedical Domain: A Survey EMNLP 2021 Detect and Classify – Joint Span Detection and Classification for Health Outcomes EMNLP 2021 Entity Enhancement for Implicit Discourse Relation Classification in the Biomedical Domain ACL 2021 Exploring the Efficacy of Generic Drugs in Treating Cancer AAAI 2021 Fine-tuning Transformers for Identifying Self-Reporting Potential Cases and Symptoms of COVID-19 in Tweets NAACL 2021 Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques ACL 2021 Investigating non lexical markers of the language of schizophrenia in spontaneous conversations EMNLP 2021 KFU NLP Team at SMM4H 2021 Tasks: Cross-lingual and Cross-modal BERT-based Models for Adverse Drug Effects NAACL 2021 Leveraging Pretrained Models for Automatic Summarization of Doctor-Patient Conversations EMNLP 2021 NADE: A Benchmark for Robust Adverse Drug Events Extraction in Face of Negations EMNLP 2021 OCHADAI at SMM4H-2021 Task 5: Classifying self-reporting tweets on potential cases of COVID-19 by ensembling pre-trained language models NAACL 2021 PAII-NLP at SMM4H 2021: Joint Extraction and Normalization of Adverse Drug Effect Mentions in Tweets NAACL 2021