반응형 논문572 [2023-03-26] 오늘의 자연어처리 SPeC: A Soft Prompt-Based Calibration on Mitigating Performance Variability in Clinical Notes Summarization Electronic health records (EHRs) store an extensive array of patient information, encompassing medical histories, diagnoses, treatments, and test outcomes. These records are crucial for enabling healthcare providers to make well-informed decisions regarding patient care. Summarizing clinic.. 2023. 3. 26. [2023-03-25] 오늘의 자연어처리 Leveraging Foundation Models for Clinical Text Analysis Infectious diseases are a significant public health concern globally, and extracting relevant information from scientific literature can facilitate the development of effective prevention and treatment strategies. However, the large amount of clinical data available presents a challenge for information extraction. To address this challenge,.. 2023. 3. 25. [2023-03-24] 오늘의 자연어처리 XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource Languages Lack of encyclopedic text contributors, especially on Wikipedia, makes automated text generation for \emph{low resource (LR) languages} a critical problem. Existing work on Wikipedia text generation has focused on \emph{English only} where English reference articles are summarized to generate English.. 2023. 3. 24. [2023-03-23] 오늘의 자연어처리 Language Model Behavior: A Comprehensive Survey Transformer language models have received widespread public attention, yet their generated text is often surprising even to NLP researchers. In this survey, we discuss over 250 recent studies of English language model behavior before task-specific fine-tuning. Language models possess basic capabilities in syntax, semantics, pragmatics, world knowle.. 2023. 3. 23. 이전 1 ··· 73 74 75 76 77 78 79 ··· 143 다음 반응형