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Assisting Human Decisions in Document Matching

Assisting Human Decisions in Document Matching

16 February 2023
Joon Sik Kim
Valerie Chen
Danish Pruthi
Nihar B. Shah
Ameet Talwalkar
ArXivPDFHTML

Papers citing "Assisting Human Decisions in Document Matching"

6 / 6 papers shown
Title
Understanding Factuality in Abstractive Summarization with FRANK: A
  Benchmark for Factuality Metrics
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics
Artidoro Pagnoni
Vidhisha Balachandran
Yulia Tsvetkov
HILM
215
305
0
27 Apr 2021
Unbox the Black-box for the Medical Explainable AI via Multi-modal and
  Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond
Guang Yang
Qinghao Ye
Jun Xia
87
478
0
03 Feb 2021
How can I choose an explainer? An Application-grounded Evaluation of
  Post-hoc Explanations
How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations
Sérgio Jesus
Catarina Belém
Vladimir Balayan
João Bento
Pedro Saleiro
P. Bizarro
João Gama
121
119
0
21 Jan 2021
Text Summarization with Pretrained Encoders
Text Summarization with Pretrained Encoders
Yang Liu
Mirella Lapata
MILM
248
1,417
0
22 Aug 2019
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
225
3,658
0
28 Feb 2017
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
170
3,504
0
10 Jun 2015
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