258 results on '"Özlem Uzuner"'
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2. MasonTigers at SemEval-2024 Task 8: Performance Analysis of Transformer-based Models on Machine-Generated Text Detection.
3. Extracting Social Determinants of Health from Pediatric Patient Notes Using Large Language Models: Novel Corpus and Methods.
4. A Novel Corpus of Annotated Medical Imaging Reports and Information Extraction Results Using BERT-based Language Models.
5. CACER: Clinical concept Annotations for Cancer Events and Relations.
6. Large language models for biomedicine: foundations, opportunities, challenges, and best practices.
7. MasonNLP+ at SemEval-2023 Task 8: Extracting Medical Questions, Experiences and Claims from Social Media using Knowledge-Augmented Pre-trained Language Models.
8. MASON-NLP at eRisk 2023: Deep Learning-Based Detection of Depression Symptoms from Social Media Texts.
9. Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning.
10. BioMistral-NLU: Towards More Generalizable Medical Language Understanding through Instruction Tuning.
11. Does Data Contamination Detection Work (Well) for LLMs? A Survey and Evaluation on Detection Assumptions.
12. Collaborative Design for Job-Seekers with Autism: A Conceptual Framework for Future Research.
13. The 2022 n2c2/UW shared task on extracting social determinants of health.
14. Advancements in extracting social determinants of health information from narrative text.
15. Leveraging natural language processing to augment structured social determinants of health data in the electronic health record.
16. LeafAI: query generator for clinical cohort discovery rivaling a human programmer.
17. Transfer Learning Across Arabic Dialects for Offensive Language Detection.
18. Clinical natural language processing for secondary uses.
19. Investigating the Effect of Preprocessing Arabic Text on Offensive Language and Hate Speech Detection.
20. A scoping review of publicly available language tasks in clinical natural language processing.
21. A Context-Enhanced De-identification System.
22. Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 Shared Task.
23. Detecting Scarce Emotions Using BERT and Hyperparameter Optimization.
24. Evaluating the Relevance of UMLS Knowledge Base for Public Health Informatics during Disasters.
25. Emotion Detection of Textual Data: An Interdisciplinary Survey.
26. A Survey on Concept-Level Sentiment Analysis Techniques of Textual Data.
27. MNLP at MEDIQA 2021: Fine-Tuning PEGASUS for Consumer Health Question Summarization.
28. SemEval-2021 Task 10: Source-Free Domain Adaptation for Semantic Processing.
29. Leveraging Offensive Language for Sarcasm and Sentiment Detection in Arabic.
30. Review of Graph Neural Network in Text Classification.
31. BERT Model for Fake News Detection Based on Social Bot Activities in the COVID-19 Pandemic.
32. Scalable Graph Synthesis with Adj and 1 - Adj.
33. A Corpus of Radiology Reports From Multiple Imaging Modalities With Fine-grained Event-based Annotations.
34. SalamNET at SemEval-2020 Task 12: Deep Learning Approach for Arabic Offensive Language Detection.
35. A Multi-channel BiLSTM-CNN Model for Multilabel Emotion Classification of Informal Text.
36. Deep Contextualized Word Embedding for Text-based Online User Profiling to Detect Social Bots on Twitter.
37. Ensemble BERT for Classifying Medication-mentioning Tweets.
38. A Survey of Offensive Language Detection for the Arabic Language.
39. Fake Document Generation for Cyber Deception by Manipulating Text Comprehensibility.
40. MT-clinical BERT: scaling clinical information extraction with multitask learning.
41. Transferability of neural network clinical deidentification systems.
42. Fine-Tuning Approach for Arabic Offensive Language Detection System: BERT-Based Model.
43. Online User Profiling to Detect Social Bots on Twitter.
44. Extracting Medication Changes in Clinical Narratives using Pre-trained Language Models.
45. Challenges and opportunities for mining adverse drug reactions: perspectives from pharma, regulatory agencies, healthcare providers and consumers.
46. Overview of the 2022 n2c2 shared task on contextualized medication event extraction in clinical notes.
47. Extracting medication changes in clinical narratives using pre-trained language models.
48. A New Corpus for Clinical Findings in Radiology Reports.
49. An Empirical Test of GRUs and Deep Contextualized Word Representations on De-Identification.
50. An Exploratory Study on Pseudo-Data Generation in Prescription and Adverse Drug Reaction Extraction.
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