The paper presents a novel approach to unsupervised text summarization. The novelty lies
in exploiting the diversity of concepts in text for summarization, which has not received much …

We describe a trainable and scalable summarization system which utilizes features derived
from information retrieval, information extraction, and NLP techniques and on-line resources …

Background A huge amount of biomedical textual information has been produced and
collected in MEDLINE for decades. In order to easily utilize biomedical information in the …

Biomedical literature incorporates millions of figures, which are a rich and important
knowledge resource for biomedical researchers. Scientists need access to the figures and …

Figures are frequently used in biomedical articles to support research findings; however,
they are often difficult to comprehend based on their legends alone and information from the …

The paper introduces a novel approach to unsupervised text summarization, which in
principle should work for any domain or genre. The novelty lies in exploiting the diversity of …

传统自动文摘方法并没有在语义层面上处理问题, 所以近年来涌现出基于语义的理解分析法.
本文提出一种基于本体的自动文摘方法, 该方法采用领域本体将词特征映射为概念特征 …

The present thesis primarily concerns the use of machine learning for rhetorical parsing and
open-domain text summarization. Chapter 1 sets a general backdrop on text summarization …

Adverse drug events (ADEs) are injuries resulting from a medical intervention related to a
drug. ADEs are responsible for nearly 20% of all the adverse events that occur in …