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Improving the Estimation of Word Importance for News Multi-Document Summarization
Kai Hong
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Ani Nenkova
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Paper Details:
Month: April
Year: 2014
Location: Gothenburg, Sweden
Venue:
EACL |
Citations
URL
A Redundancy-Aware Sentence Regression Framework for Extractive Summarization
Pengjie Ren
|
Furu Wei
|
Zhumin Chen
|
Jun Ma
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Ming Zhou
|
System Combination for Multi-document Summarization
Kai Hong
|
Mitchell Marcus
|
Ani Nenkova
|
Unsupervised Text Recap Extraction for TV Series
Hongliang Yu
|
Shikun Zhang
|
Louis-Philippe Morency
|
Patterns of Argumentation Strategies across Topics
Khalid Al-Khatib
|
Henning Wachsmuth
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Matthias Hagen
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Benno Stein
|
evision PDF of 'Content Selection in Deep Learning Models of Summarization
Chris Kedzie
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Kathleen McKeown
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Hal Daumé III
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Enumeration of Extractive Oracle Summaries
Tsutomu Hirao
|
Masaaki Nishino
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Jun Suzuki
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Masaaki Nagata
|
Towards Abstractive Multi-Document Summarization Using Submodular Function-Based Framework, Sentence Compression and Merging
Yllias Chali
|
Moin Tanvee
|
Mir Tafseer Nayeem
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Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization
Markus Zopf
|
Eneldo Loza Mencía
|
Johannes Fürnkranz
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Graph-based Neural Multi-Document Summarization
Michihiro Yasunaga
|
Rui Zhang
|
Kshitijh Meelu
|
Ayush Pareek
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Krishnan Srinivasan
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Dragomir Radev
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A Repository of State of the Art and Competitive Baseline Summaries for Generic News Summarization
Kai Hong
|
John Conroy
|
Benoit Favre
|
Alex Kulesza
|
Hui Lin
|
Ani Nenkova
|
A Corpus for Modeling Word Importance in Spoken Dialogue Transcripts
Sushant Kafle
|
Matt Huenerfauth
|
Using External Resources and Joint Learning for Bigram Weighting in ILP-Based Multi-Document Summarization
Chen Li
|
Yang Liu
|
Lin Zhao
|
Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies
Max Grusky
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Mor Naaman
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Yoav Artzi
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Deep Communicating Agents for Abstractive Summarization
Asli Celikyilmaz
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Antoine Bosselut
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Xiaodong He
|
Yejin Choi
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Estimating Summary Quality with Pairwise Preferences
Markus Zopf
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Which Scores to Predict in Sentence Regression for Text Summarization?
Markus Zopf
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Eneldo Loza Mencía
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Johannes Fürnkranz
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Objective Function Learning to Match Human Judgements for Optimization-Based Summarization
Maxime Peyrard
|
Iryna Gurevych
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Content Importance Models for Scoring Writing From Sources
Beata Beigman Klebanov
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Nitin Madnani
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Jill Burstein
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Swapna Somasundaran
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Joint Graphical Models for Date Selection in Timeline Summarization
Giang Tran
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Eelco Herder
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Katja Markert
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Learning Summary Prior Representation for Extractive Summarization
Ziqiang Cao
|
Furu Wei
|
Sujian Li
|
Wenjie Li
|
Ming Zhou
|
Houfeng Wang
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Towards Constructing Sports News from Live Text Commentary
Jianmin Zhang
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Jin-ge Yao
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Xiaojun Wan
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Optimizing an Approximation of ROUGE - a Problem-Reduction Approach to Extractive Multi-Document Summarization
Maxime Peyrard
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Judith Eckle-Kohler
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Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints
Greg Durrett
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Taylor Berg-Kirkpatrick
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Dan Klein
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Oracle Summaries of Compressive Summarization
Tsutomu Hirao
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Masaaki Nishino
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Masaaki Nagata
|
Extractive Summarization by Aggregating Multiple Similarities
Olof Mogren
|
Mikael Kågebäck
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Devdatt Dubhashi
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Multi-Document Summarization of Persian Text using Paragraph Vectors
Morteza Rohanian
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Multi-document Summarization Using Bipartite Graphs
Daraksha Parveen
|
Michael Strube
|
Reducing Over-generation Errors for Automatic Keyphrase Extraction using Integer Linear Programming
Florian Boudin
|
Extract with Order for Coherent Multi-Document Summarization
Mir Tafseer Nayeem
|
Yllias Chali
|
Revisiting the Centroid-based Method: A Strong Baseline for Multi-Document Summarization
Demian Gholipour Ghalandari
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https://www.seas.upenn.edu/~hongkai1/regsum.html
Field Of Study
Task
Summarization
Language
English
Dataset
News
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