Confidence scores, each representing a likelihood that two terms defined in the subject matter glossary are synonyms, are determined by applying natural language processing (e.g., passage term matching, lexical matching, and syntactic matching) to the extracted definitions. A subject matter thesaurus ...
For natural language processing with PyTorch, torch.nn.LSTM is one of the more common classes used because it can begin to understand connections between not only written or typed data input but can also recognize speech and other vocalizations. Being able to process more complex data sequences ...
Tom Markiewicz
As costly and extensive as this effort was, many believe that we have yet to see evidence of any significant impact from the digitization of healthcare data to the quality or cost of care. One way to radically improve this is using AI for natural language processing (NLP)—specifically to ...
natural language processing (NLP) and causal inference. I was inspired by acomputational linguistics survey paperpublished at the beginning of this month, which provided a comprehensive review of the use of NLP for causal inference and conversely, the use of causality in improving NLP models. The...
It first parses the input sentences, and then the natural language expressions are transformed to SQL language. 展开 关键词: SQL natural language processing user interfaces SQL queries expert system natural language processing natural languages interfaces to databases query language Computer languages Data...
关键词: computer science museums natural language processing optimisation social sciences artwork importance automatic extraction computer sciences museum information museums natural language processing 会议名称: 2014 Federated Conference on Computer Science and Information Systems ...
By using techniques from natural language processing, we develop deep-learning models for glycans that are trained on a curated dataset of 19,299 unique glycans and can be used to study and predict glycan functions. We show that ... D Bojar,RK Powers,DM Camacho,... - 《Cell Host & Micr...
To the best of our knowledge, this is the first survey that focuses on using Natural Language Processing (NLP) and Machine Learning (ML) techniques to detect phishing emails. This study provides an analysis of the numerous state-of-the-art NLP strategies currently in use to identify phishing ...
Using natural language processing for identification of herpes zoster ophthalmicus cases to support population‐based study Using natural language processing for identification of herpes zoster ophthalmicus cases to support population‐based studydoi:10.1111/ceo.13340... C Zheng,Y Luo,C Mercado,... -...