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Informative and Controllable Opinion Summarization

Informative and Controllable Opinion Summarization

5 September 2019
Reinald Kim Amplayo
Mirella Lapata
ArXivPDFHTML

Papers citing "Informative and Controllable Opinion Summarization"

19 / 19 papers shown
Title
Polarity Calibration for Opinion Summarization
Polarity Calibration for Opinion Summarization
Yuanyuan Lei
Kaiqiang Song
Sangwoo Cho
Xiaoyang Wang
Ruihong Huang
Dong Yu
38
0
0
02 Apr 2024
OpinSummEval: Revisiting Automated Evaluation for Opinion Summarization
OpinSummEval: Revisiting Automated Evaluation for Opinion Summarization
Yuchen Shen
Xiaojun Wan
38
9
0
27 Oct 2023
A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document
  Summarization
A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization
Chenhui Shen
Liying Cheng
Xuan-Phi Nguyen
Yang You
Lidong Bing
30
10
0
15 May 2023
Less is More: Mitigate Spurious Correlations for Open-Domain Dialogue
  Response Generation Models by Causal Discovery
Less is More: Mitigate Spurious Correlations for Open-Domain Dialogue Response Generation Models by Causal Discovery
Tao Feng
Lizhen Qu
Gholamreza Haffari
CML
27
7
0
02 Mar 2023
Do Multi-Document Summarization Models Synthesize?
Do Multi-Document Summarization Models Synthesize?
Jay DeYoung
Stephanie C. Martinez
Iain J. Marshall
Byron C. Wallace
24
8
0
31 Jan 2023
Fine-tuning language models to find agreement among humans with diverse
  preferences
Fine-tuning language models to find agreement among humans with diverse preferences
Michiel A. Bakker
Martin Chadwick
Hannah R. Sheahan
Michael Henry Tessler
Lucy Campbell-Gillingham
...
Nat McAleese
Amelia Glaese
John Aslanides
M. Botvinick
Christopher Summerfield
ALM
49
215
0
28 Nov 2022
Why Do You Feel This Way? Summarizing Triggers of Emotions in Social
  Media Posts
Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts
Hongli Zhan
Tiberiu Sosea
Cornelia Caragea
Junjie Li
41
5
0
22 Oct 2022
Readability Controllable Biomedical Document Summarization
Readability Controllable Biomedical Document Summarization
Zheheng Luo
Qianqian Xie
Sophia Ananiadou
45
36
0
10 Oct 2022
Comparative Snippet Generation
Comparative Snippet Generation
Saurabh Jain
Yisong Miao
Min-Yen Kan
15
0
0
11 Jun 2022
EntSUM: A Data Set for Entity-Centric Summarization
EntSUM: A Data Set for Entity-Centric Summarization
Mounica Maddela
Mayank Kulkarni
Daniel Preoţiuc-Pietro
43
24
0
05 Apr 2022
Overview of the 2021 Key Point Analysis Shared Task
Overview of the 2021 Key Point Analysis Shared Task
Roni Friedman
Lena Dankin
Yufang Hou
R. Aharonov
Yoav Katz
Noam Slonim
16
22
0
20 Oct 2021
Fine-Grained Opinion Summarization with Minimal Supervision
Fine-Grained Opinion Summarization with Minimal Supervision
Suyu Ge
Jiaxin Huang
Yu Meng
Sharon Wang
Jiawei Han
118
2
0
17 Oct 2021
Learning Opinion Summarizers by Selecting Informative Reviews
Learning Opinion Summarizers by Selecting Informative Reviews
Arthur Brazinskas
Mirella Lapata
Ivan Titov
53
29
0
09 Sep 2021
Generating Related Work
Generating Related Work
Darsh J. Shah
Regina Barzilay
36
3
0
18 Apr 2021
Nutribullets Hybrid: Multi-document Health Summarization
Nutribullets Hybrid: Multi-document Health Summarization
Darsh J. Shah
L. Yu
Tao Lei
Regina Barzilay
41
3
0
08 Apr 2021
Extractive Opinion Summarization in Quantized Transformer Spaces
Extractive Opinion Summarization in Quantized Transformer Spaces
Stefanos Angelidis
Reinald Kim Amplayo
Yoshihiko Suhara
Xiaolan Wang
Mirella Lapata
MQ
31
110
0
08 Dec 2020
Multi-document Summarization via Deep Learning Techniques: A Survey
Multi-document Summarization via Deep Learning Techniques: A Survey
Congbo Ma
W. Zhang
Mingyu Guo
Hu Wang
Quan Z. Sheng
13
126
0
10 Nov 2020
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
1,255
0
14 Nov 2016
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,639
0
03 Jul 2012
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