Neural natural language processing for unstructured data in electronic health records: a review
Electronic health records (EHRs), digital collections of patient healthcare events and
observations, are ubiquitous in medicine and critical to healthcare delivery, operations, and …
observations, are ubiquitous in medicine and critical to healthcare delivery, operations, and …
Automatic text summarization methods: A comprehensive review
Text summarization is the process of condensing a long text into a shorter version by
maintaining the key information and its meaning. Automatic text summarization can save …
maintaining the key information and its meaning. Automatic text summarization can save …
A discourse-aware attention model for abstractive summarization of long documents
Neural abstractive summarization models have led to promising results in summarizing
relatively short documents. We propose the first model for abstractive summarization of …
relatively short documents. We propose the first model for abstractive summarization of …
On extractive and abstractive neural document summarization with transformer language models
We present a method to produce abstractive summaries of long documents that exceed
several thousand words via neural abstractive summarization. We perform a simple …
several thousand words via neural abstractive summarization. We perform a simple …
[图书][B] Machine learning for text: An introduction
CC Aggarwal, CC Aggarwal - 2018 - Springer
The extraction of useful insights from text with various types of statistical algorithms is
referred to as text mining, text analytics, or machine learning from text. The choice of …
referred to as text mining, text analytics, or machine learning from text. The choice of …
A survey of automatic text summarization: Progress, process and challenges
With the evolution of the Internet and multimedia technology, the amount of text data has
increased exponentially. This text volume is a precious source of information and knowledge …
increased exponentially. This text volume is a precious source of information and knowledge …
Extractive summarization of long documents by combining global and local context
W Xiao, G Carenini - arXiv preprint arXiv:1909.08089, 2019 - arxiv.org
In this paper, we propose a novel neural single document extractive summarization model
for long documents, incorporating both the global context of the whole document and the …
for long documents, incorporating both the global context of the whole document and the …
100,000 podcasts: A spoken English document corpus
Podcasts are a large and growing repository of spoken audio. As an audio format, podcasts
are more varied in style and production type than broadcast news, contain more genres than …
are more varied in style and production type than broadcast news, contain more genres than …
A divide-and-conquer approach to the summarization of long documents
A Gidiotis, G Tsoumakas - IEEE/ACM Transactions on Audio …, 2020 - ieeexplore.ieee.org
We present a novel divide-and-conquer method for the neural summarization of long
documents. Our method exploits the discourse structure of the document and uses sentence …
documents. Our method exploits the discourse structure of the document and uses sentence …
SummCoder: An unsupervised framework for extractive text summarization based on deep auto-encoders
In this paper, we propose SummCoder, a novel methodology for generic extractive text
summarization of single documents. The approach generates a summary according to three …
summarization of single documents. The approach generates a summary according to three …