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What Makes a Good and Useful Summary? Incorporating Users in Automatic
  Summarization Research

What Makes a Good and Useful Summary? Incorporating Users in Automatic Summarization Research

14 December 2020
Maartje ter Hoeve
Julia Kiseleva
Maarten de Rijke
ArXivPDFHTML

Papers citing "What Makes a Good and Useful Summary? Incorporating Users in Automatic Summarization Research"

4 / 4 papers shown
Title
What's the Difference? Supporting Users in Identifying the Effects of Prompt and Model Changes Through Token Patterns
What's the Difference? Supporting Users in Identifying the Effects of Prompt and Model Changes Through Token Patterns
Michael A. Hedderich
Anyi Wang
Raoyuan Zhao
Florian Eichin
Barbara Plank
30
0
0
22 Apr 2025
iFacetSum: Coreference-based Interactive Faceted Summarization for
  Multi-Document Exploration
iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration
Eran Hirsch
Alon Eirew
Ori Shapira
Avi Caciularu
Arie Cattan
Ori Ernst
Ramakanth Pasunuru
H. Ronen
Mohit Bansal
Ido Dagan
53
14
0
23 Sep 2021
Text Summarization with Pretrained Encoders
Text Summarization with Pretrained Encoders
Yang Liu
Mirella Lapata
MILM
256
1,431
0
22 Aug 2019
SummaRuNNer: A Recurrent Neural Network based Sequence Model for
  Extractive Summarization of Documents
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents
Ramesh Nallapati
Feifei Zhai
Bowen Zhou
207
1,254
0
14 Nov 2016
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