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Automatically Assessing Review Helpfulness
Soo-Min Kim
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Patrick Pantel
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Tim Chklovski
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Marco Pennacchiotti
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Paper Details:
Month: July
Year: 2006
Location: Sydney, Australia
Venue:
EMNLP |
WS |
SIG: SIGDAT
Citations
URL
Empirical analysis of exploiting review helpfulness for extractive summarization of online reviews
Wenting Xiong
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Diane Litman
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Low-Quality Product Review Detection in Opinion Summarization
Jingjing Liu
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Yunbo Cao
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Chin-Yew Lin
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Yalou Huang
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Ming Zhou
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Personalized Recommendation of User Comments via Factor Models
Deepak Agarwal
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Bee-Chung Chen
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Bo Pang
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Using Argument-based Features to Predict and Analyse Review Helpfulness
Haijing Liu
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Yang Gao
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Pin Lv
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Mengxue Li
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Shiqiang Geng
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Minglan Li
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Hao Wang
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Assessing Objective Recommendation Quality through Political Forecasting
H. Andrew Schwartz
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Masoud Rouhizadeh
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Michael Bishop
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Philip Tetlock
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Barbara Mellers
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Lyle Ungar
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Helpfulness-Guided Review Summarization
Wenting Xiong
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Instant Feedback for Increasing the Presence of Solutions in Peer Reviews
Huy Nguyen
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Wenting Xiong
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Diane Litman
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Automatically Assessing the Post Quality in Online Discussions on Software
Markus Weimer
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Iryna Gurevych
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Max Mühlhäuser
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Automatically Predicting Peer-Review Helpfulness
Wenting Xiong
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Diane Litman
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Modeling Review Comments
Arjun Mukherjee
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Bing Liu
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Spice it up? Mining Refinements to Online Instructions from User Generated Content
Gregory Druck
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Bo Pang
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SHELLFBK: An Information Retrieval-based System For Multi-Domain Sentiment Analysis
Mauro Dragoni
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Understanding Differences in Perceived Peer-Review Helpfulness using Natural Language Processing
Wenting Xiong
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Diane Litman
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Classification of comment helpfulness to improve knowledge sharing among medical practitioners.
Pierre André Ménard
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Caroline Barrière
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http://www.ceas.cc/
http://spamconference.org/
http://www.wjh.harvard.edu/~inquirer/homecat.htm
Field Of Study
Linguistic Trends
Discourse
Syntax
Task
Summarization
Language
English
Dataset
News
Blogs
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