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EMNLP - 2018
Total Papers:- 1046
Total Papers accross all years:- 12236
Total Citations :- 470
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Stance Detection in Fake News A Combined Feature Representation
Bilal Ghanem |
Paolo Rosso |
Francisco Rangel |
Zero-shot Relation Classification as Textual Entailment
Abiola Obamuyide |
Andreas Vlachos |
Teaching Syntax by Adversarial Distraction
Juho Kim |
Christopher Malon |
Asim Kadav |
Where is Your Evidence: Improving Fact-checking by Justification Modeling
Tariq Alhindi |
Savvas Petridis |
Smaranda Muresan |
Affordance Extraction and Inference based on Semantic Role Labeling
Daniel Loureiro |
Alípio Jorge |
UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF)
Takuma Yoneda |
Jeff Mitchell |
Johannes Welbl |
Pontus Stenetorp |
Sebastian Riedel |
UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification
Andreas Hanselowski |
Hao Zhang |
Zile Li |
Daniil Sorokin |
Benjamin Schiller |
Claudia Schulz |
Iryna Gurevych |
Team Papelo: Transformer Networks at FEVER
Christopher Malon |
Uni-DUE Student Team: Tackling fact checking through decomposable attention neural network
Jan Kowollik |
Ahmet Aker |
SIRIUS-LTG: An Entity Linking Approach to Fact Extraction and Verification
Farhad Nooralahzadeh |
Lilja Øvrelid |
Integrating Entity Linking and Evidence Ranking for Fact Extraction and Verification
Motoki Taniguchi |
Tomoki Taniguchi |
Takumi Takahashi |
Yasuhide Miura |
Tomoko Ohkuma |
Robust Document Retrieval and Individual Evidence Modeling for Fact Extraction and Verification.
Tuhin Chakrabarty |
Tariq Alhindi |
Smaranda Muresan |
DeFactoNLP: Fact Verification using Entity Recognition, TFIDF Vector Comparison and Decomposable Attention
Aniketh Janardhan Reddy |
Gil Rocha |
Diego Esteves |
An End-to-End Multi-task Learning Model for Fact Checking
Sizhen Li |
Shuai Zhao |
Bo Cheng |
Hao Yang |
Team GESIS Cologne: An all in all sentence-based approach for FEVER
Wolfgang Otto |
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