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SemEval-2016 Task 6: Detecting Stance in Tweets
Saif Mohammad
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Svetlana Kiritchenko
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Parinaz Sobhani
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Xiaodan Zhu
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Colin Cherry
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Paper Details:
Month: June
Year: 2016
Location: San Diego, California
Venue:
*SEMEVAL |
Citations
URL
On the Impact of Seed Words on Sentiment Polarity Lexicon Induction
Dame Jovanoski
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Veno Pachovski
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Preslav Nakov
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Stance Classification in Rumours as a Sequential Task Exploiting the Tree Structure of Social Media Conversations
Arkaitz Zubiaga
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Elena Kochkina
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Maria Liakata
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Rob Procter
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Michal Lukasik
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A Retrospective Analysis of the Fake News Challenge Stance-Detection Task
Andreas Hanselowski
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Avinesh PVS
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Benjamin Schiller
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Felix Caspelherr
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Debanjan Chaudhuri
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Christian M. Meyer
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Iryna Gurevych
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Stance Detection with Bidirectional Conditional Encoding
Isabelle Augenstein
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Tim Rocktäschel
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Andreas Vlachos
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Kalina Bontcheva
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Weakly Supervised Tweet Stance Classification by Relational Bootstrapping
Javid Ebrahimi
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Dejing Dou
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Daniel Lowd
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Human Centered NLP with User-Factor Adaptation
Veronica Lynn
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Youngseo Son
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Vivek Kulkarni
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Niranjan Balasubramanian
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H. Andrew Schwartz
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Cross-topic Argument Mining from Heterogeneous Sources
Christian Stab
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Tristan Miller
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Benjamin Schiller
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Pranav Rai
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Iryna Gurevych
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Sentiment Lexicons for Arabic Social Media
Saif Mohammad
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Mohammad Salameh
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Svetlana Kiritchenko
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A Dataset for Detecting Stance in Tweets
Saif Mohammad
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Svetlana Kiritchenko
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Parinaz Sobhani
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Xiaodan Zhu
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Colin Cherry
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Monolingual Social Media Datasets for Detecting Contradiction and Entailment
Piroska Lendvai
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Isabelle Augenstein
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Kalina Bontcheva
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Thierry Declerck
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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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Automatic Stance Detection Using End-to-End Memory Networks
Mitra Mohtarami
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Ramy Baly
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James Glass
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Preslav Nakov
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Lluís Màrquez
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Alessandro Moschitti
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Integrating Stance Detection and Fact Checking in a Unified Corpus
Ramy Baly
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Mitra Mohtarami
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James Glass
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Lluís Màrquez
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Alessandro Moschitti
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Preslav Nakov
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SemEval-2016 Task 5: Aspect Based Sentiment Analysis
Maria Pontiki
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Dimitris Galanis
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Haris Papageorgiou
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Ion Androutsopoulos
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Suresh Manandhar
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Mohammad AL-Smadi
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Mahmoud Al-Ayyoub
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Yanyan Zhao
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Bing Qin
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Orphée De Clercq
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Véronique Hoste
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Marianna Apidianaki
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Xavier Tannier
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Natalia Loukachevitch
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Evgeniy Kotelnikov
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Nuria Bel
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Salud María Jiménez-Zafra
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Gülşen Eryiğit
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INF-UFRGS-OPINION-MINING at SemEval-2016 Task 6: Automatic Generation of a Training Corpus for Unsupervised Identification of Stance in Tweets
Marcelo Dias
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Karin Becker
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pkudblab at SemEval-2016 Task 6 : A Specific Convolutional Neural Network System for Effective Stance Detection
Wan Wei
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Xiao Zhang
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Xuqin Liu
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Wei Chen
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Tengjiao Wang
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USFD at SemEval-2016 Task 6: Any-Target Stance Detection on Twitter with Autoencoders
Isabelle Augenstein
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Andreas Vlachos
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Kalina Bontcheva
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IUCL at SemEval-2016 Task 6: An Ensemble Model for Stance Detection in Twitter
Can Liu
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Wen Li
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Bradford Demarest
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Yue Chen
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Sara Couture
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Daniel Dakota
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Nikita Haduong
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Noah Kaufman
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Andrew Lamont
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Manan Pancholi
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Kenneth Steimel
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Sandra Kübler
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Tohoku at SemEval-2016 Task 6: Feature-based Model versus Convolutional Neural Network for Stance Detection
Yuki Igarashi
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Hiroya Komatsu
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Sosuke Kobayashi
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Naoaki Okazaki
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Kentaro Inui
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NLDS-UCSC at SemEval-2016 Task 6: A Semi-Supervised Approach to Detecting Stance in Tweets
Amita Misra
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Brian Ecker
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Theodore Handleman
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Nicolas Hahn
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Marilyn Walker
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ltl.uni-due at SemEval-2016 Task 6: Stance Detection in Social Media Using Stacked Classifiers
Michael Wojatzki
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Torsten Zesch
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JU_NLP at SemEval-2016 Task 6: Detecting Stance in Tweets using Support Vector Machines
Braja Gopal Patra
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Dipankar Das
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Sivaji Bandyopadhyay
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MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection
Guido Zarrella
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Amy Marsh
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Detecting Stance in Tweets And Analyzing its Interaction with Sentiment
Parinaz Sobhani
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Saif Mohammad
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Svetlana Kiritchenko
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SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours
Leon Derczynski
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Kalina Bontcheva
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Maria Liakata
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Rob Procter
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Geraldine Wong Sak Hoi
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Arkaitz Zubiaga
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Sentiment Analysis in Twitter: A SemEval Perspective
Preslav Nakov
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A Practical Guide to Sentiment Annotation: Challenges and Solutions
Saif Mohammad
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Contradiction Detection for Rumorous Claims
Piroska Lendvai
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Uwe Reichel
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Annotation, Modelling and Analysis of Fine-Grained Emotions on a Stance and Sentiment Detection Corpus
Hendrik Schuff
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Jeremy Barnes
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Julian Mohme
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Sebastian Padó
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Roman Klinger
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Toward Stance Classification Based on Claim Microstructures
Filip Boltužić
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Jan Šnajder
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http://alt.qcri.org/semeval2016/task6/
http://www.saifmohammad.com/WebPages/StanceDataset.htm
http://alt.qcri.org/semeval2016/task6/
http://www.crowdflower.com
Field Of Study
Linguistic Trends
Embeddings
Task
Sentiment Analysis
Argumentation Mining
Language
English
Dataset
Social Media
Twitter
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