First we propose a model to generate abstractive summaries for clinical trials based on sequence to sequence networks with attention policies. Second, we ...
Towards neural abstractive clinical trial text summarization with sequence to sequence models. Celia Cintas. ∗. , William Ogallo. †. , Aisha Walcott. ‡. , ...
A method to improve clinical trials enrollment rates through novel models of communication that provide accurate and unbiased information about the clinical ...
Jan 3, 2021 · In this article, we provide a comprehensive literature survey on different seq2seq models for abstractive text summarization from the viewpoint of network ...
Aug 31, 2024 · Thus, text summarizing reduces data to make it easier for users to find and process important information more quickly and accurately.
Dec 5, 2018 · In this paper, we provide a comprehensive literature survey on different seq2seq models for abstractive text summarization from the viewpoint of network ...
Missing: clinical trial
Jan 6, 2021 · In this article, we provide a comprehensive literature survey on different seq2seq models for abstractive text summarization from the viewpoint ...
Missing: clinical trial
This article provides a comprehensive literature survey on different seq2seq models for abstractive text summarization from the viewpoint of network structures.
Missing: clinical | Show results with:clinical
In this research, we exhaustively evaluated methods for adapting LLMs to summarize clinical text, analyzing eight models across a diverse set of summarization ...
Sep 4, 2024 · This survey presents a comprehensive overview, delving into state-of-the-art techniques, prevailing challenges, and prospective research directions.