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Improving the Factual Accuracy of Abstractive Clinical Text
  Summarization using Multi-Objective Optimization

Improving the Factual Accuracy of Abstractive Clinical Text Summarization using Multi-Objective Optimization

2 April 2022
Amanuel Alambo
Tanvi Banerjee
K. Thirunarayan
Mia Cajita
ArXivPDFHTML

Papers citing "Improving the Factual Accuracy of Abstractive Clinical Text Summarization using Multi-Objective Optimization"

4 / 4 papers shown
Title
Graph Neural Network and NER-Based Text Summarization
Graph Neural Network and NER-Based Text Summarization
Imaad Zaffar Khan
Amaan Aijaz Sheikh
Utkarsh Sinha
34
5
0
05 Feb 2024
Stanza: A Python Natural Language Processing Toolkit for Many Human
  Languages
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Peng Qi
Yuhao Zhang
Yuhui Zhang
Jason Bolton
Christopher D. Manning
AI4TS
213
1,660
0
16 Mar 2020
ScisummNet: A Large Annotated Corpus and Content-Impact Models for
  Scientific Paper Summarization with Citation Networks
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks
Michihiro Yasunaga
Jungo Kasai
Rui Zhang
Alexander R. Fabbri
Irene Z Li
Dan Friedman
Dragomir R. Radev
73
206
0
04 Sep 2019
Teaching Machines to Read and Comprehend
Teaching Machines to Read and Comprehend
Karl Moritz Hermann
Tomás Kociský
Edward Grefenstette
L. Espeholt
W. Kay
Mustafa Suleyman
Phil Blunsom
211
3,517
0
10 Jun 2015
1