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Abstractive Summarization of Product Reviews Using Discourse Structure
Shima Gerani
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Yashar Mehdad
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Giuseppe Carenini
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Raymond T. Ng
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Bita Nejat
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Paper Details:
Month: October
Year: 2014
Location: Doha, Qatar
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Product Review Summarization by Exploiting Phrase Properties
Naitong Yu
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Minlie Huang
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Yuanyuan Shi
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Xiaoyan Zhu
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Implicit Discourse Relation Recognition using Neural Tensor Network with Interactive Attention and Sparse Learning
Fengyu Guo
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Ruifang He
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Di Jin
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Jianwu Dang
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Longbiao Wang
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Xiangang Li
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Abstract Meaning Representation for Multi-Document Summarization
Kexin Liao
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Logan Lebanoff
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Fei Liu
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Structure-Infused Copy Mechanisms for Abstractive Summarization
Kaiqiang Song
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Lin Zhao
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Fei Liu
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Better Document-level Sentiment Analysis from RST Discourse Parsing
Parminder Bhatia
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Yangfeng Ji
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Jacob Eisenstein
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Closed-Book Training to Improve Summarization Encoder Memory
Yichen Jiang
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Mohit Bansal
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Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization
Logan Lebanoff
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Kaiqiang Song
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Fei Liu
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Using Explicit Discourse Connectives in Translation for Implicit Discourse Relation Classification
Wei Shi
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Frances Yung
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Raphael Rubino
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Vera Demberg
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Quantifying Qualitative Data for Understanding Controversial Issues
Michael Wojatzki
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Saif Mohammad
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Torsten Zesch
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Svetlana Kiritchenko
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Neural Network-Based Abstract Generation for Opinions and Arguments
Lu Wang
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Wang Ling
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Multi-Reward Reinforced Summarization with Saliency and Entailment
Ramakanth Pasunuru
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Mohit Bansal
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WikiKreator: Improving Wikipedia Stubs Automatically
Siddhartha Banerjee
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Prasenjit Mitra
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Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification
Lianhui Qin
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Zhisong Zhang
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Hai Zhao
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Zhiting Hu
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Eric Xing
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Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation
Han Guo
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Ramakanth Pasunuru
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Mohit Bansal
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SciDTB: Discourse Dependency TreeBank for Scientific Abstracts
An Yang
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Sujian Li
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Multiple Instance Learning Networks for Fine-Grained Sentiment Analysis
Stefanos Angelidis
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Mirella Lapata
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A Qualitative Analysis of a Corpus of Opinion Summaries based on Aspects
Roque López
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Thiago Pardo
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Lucas Avanço
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Pedro Filho
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Alessandro Bokan
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Paula Cardoso
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Márcio Dias
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Fernando Nóbrega
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Marco Cabezudo
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Jackson Souza
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Andressa Zacarias
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Eloize Seno
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Ariani Di Felippo
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A Consolidated Open Knowledge Representation for Multiple Texts
Rachel Wities
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Vered Shwartz
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Gabriel Stanovsky
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Meni Adler
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Ori Shapira
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Shyam Upadhyay
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Dan Roth
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Eugenio Martinez Camara
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Iryna Gurevych
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Ido Dagan
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A Pilot Study of Domain Adaptation Effect for Neural Abstractive Summarization
Xinyu Hua
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Lu Wang
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Exploring Joint Neural Model for Sentence Level Discourse Parsing and Sentiment Analysis
Bita Nejat
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Giuseppe Carenini
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Raymond Ng
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A Corpus of Corporate Annual and Social Responsibility Reports: 280 Million Tokens of Balanced Organizational Writing
Sebastian G.M. Händschke
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Sven Buechel
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Jan Goldenstein
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Philipp Poschmann
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Tinghui Duan
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Peter Walgenbach
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Udo Hahn
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Discourse Relation Recognition by Comparing Various Units of Sentence Expression with Recursive Neural Network
Atsushi Otsuka
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Toru Hirano
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Chiaki Miyazaki
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Ryo Masumura
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Ryuichiro Higashinaka
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Toshiro Makino
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Yoshihiro Matsuo
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Multi-aspects Rating Prediction Using Aspect Words and Sentences
Takuto Nakamuta
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Kazutaka Shimada
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http://alt.qcri.org/discourse/Discourse
https://www.cs.ubc
Field Of Study
Linguistic Trends
Discourse
Task
Sentiment Analysis
Language Generation
Summarization
Approach
Bayesian Model
Language
Multilingual
English
Dataset
News
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