09:00–09:15Welcome talk
09:15–10:00Invited Talk
Tim Rocktäschel
10:00–10:30Research Talks 1
10:00–10:15The Data Challenge in Misinformation Detection: Source Reputation vs. Content Veracity
Fatemeh Torabi Asr and Maite Taboada
10:15–10:30Towards Automated Factchecking: Developing an Annotation Schema and Benchmark for Consistent Automated Claim Detection
Lev Konstantinovskiy, Oliver Price, Mevan Babakar and Arkaitz Zubiaga
10:30–11:30Research Posters
 Crowdsourcing Semantic Label Propagation in Relation Classification
Anca Dumitrache, Lora Aroyo and Chris Welty
 Retrieve and Re-rank: A Simple and Effective IR Approach to Simple Question Answering over Knowledge Graphs
Vishal Gupta, Manoj Chinnakotla and Manish Shrivastava
 Information Nutrition Labels: A Plugin for Online News Evaluation
Vincentius Kevin, Birte Högden, Claudia Schwenger, Ali Sahan, Neelu Madan, Piush Aggarwal, Anusha Bangaru, Farid Muradov and Ahmet Aker
 Joint Modeling for Query Expansion and Information Extraction with Reinforcement Learning
Motoki Taniguchi, Yasuhide Miura and Tomoko Ohkuma
 Towards Automatic Fake News Detection: Cross-Level Stance Detection in News Articles
Costanza Conforti, Mohammad Taher Pilehvar and Nigel Collier
 Belittling the Source: Trustworthiness Indicators to Obfuscate Fake News on the Web
Diego Esteves, Aniketh Janardhan Reddy, Piyush Chawla and Jens Lehmann
 Automated Fact-Checking of Claims in Argumentative Parliamentary Debates
Nona Naderi and Graeme Hirst
 Stance Detection in Fake News A Combined Feature Representation
Bilal Ghanem, Paolo Rosso and Francisco Rangel
 Zero-shot Relation Classification as Textual Entailment
Abiola Obamuyide and Andreas Vlachos
 Teaching Syntax by Adversarial Distraction
Juho Kim, Christopher Malon and Asim Kadav
 Where is Your Evidence: Improving Fact-checking by Justification Modeling
Tariq Alhindi, Savvas Petridis and Smaranda Muresan
11:30–12:15Invited Talk
Marie-Francine Moens
12:15–12:30Research Talks 2
12:15–12:30Affordance Extraction and Inference based on Semantic Role Labeling
Daniel Loureiro and Alípio Jorge
14:00–14:45Invited Talk
Luna Dong
14:45–15:30Shared Task Flash Talks
14:45–14:50The Fact Extraction and VERification (FEVER) Shared Task
James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos and Arpit Mittal
14:50–15:00Combining Fact Extraction and Claim Verification in an NLI Model
Yixin Nie, Haonan Chen and Mohit Bansal
15:00–15:10UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF)
Takuma Yoneda, Jeff Mitchell, Johannes Welbl, Pontus Stenetorp and Sebastian Riedel
15:10–15:20Multi-Sentence Textual Entailment for Claim Verification
Andreas Hanselowski, Hao Zhang, Zile Li, Daniil Sorokin, Benjamin Schiller, Claudia Schulz and Iryna Gurevych
15:20–15:30Team Papelo: Transformer Networks at FEVER
Christopher Malon
15:30–16:30Shared Task Posters
 Uni-DUE Student Team: Tackling fact checking through decomposable attention neural network
Jan Kowollik and Ahmet Aker
 SIRIUS-LTG: An Entity Linking Approach to Fact Extraction and Verification
Farhad Nooralahzadeh and Lilja Øvrelid
 Integrating Entity Linking and Evidence Ranking for Fact Extraction and Verification
Motoki Taniguchi, Tomoki Taniguchi, Takumi Takahashi, Yasuhide Miura and Tomoko Ohkuma
 Robust Document Retrieval and Individual Evidence Modeling for Fact Extraction and Verification.
Tuhin Chakrabarty, Tariq Alhindi and Smaranda Muresan
 DeFactoNLP: Fact Verification using Entity Recognition, TFIDF Vector Comparison and Decomposable Attention
Aniketh Janardhan Reddy, Gil Rocha and Diego Esteves
 An End-to-End Multi-task Learning Model for Fact Checking
sizhen li, Shuai Zhao, Bo Cheng and Hao Yang
 Team GESIS Cologne: An all in all sentence-based approach for FEVER
Wolfgang Otto
 Joint Sentence Extraction and Fact Checking with Pointer Networks
Christopher Hidey and Mona Diab
 QED: A fact verification system for the FEVER shared task
Jackson Luken, Nanjiang Jiang and Marie-Catherine de Marneffe
 Team UMBC-FEVER : Claim verification using Semantic Lexical Resources
Ankur Padia, Francis Ferraro and Tim Finin
 A mostly unlexicalized model for recognizing textual entailment
Mithun Paul, Rebecca Sharp and Mihai Surdeanu
16:30–17:15Invited Talk
Delip Rao
17:15–17:30Prizes + Closing Remarks

Call for Papers

With billions of individual pages on the web providing information on almost every conceivable topic, we should have the ability to collect facts that answer almost every conceivable question.
However, only a small
fraction of this information is contained in structured sources (Wikidata, Freebase, etc.) – we are therefore limited by our ability to transform free-form text to structured knowledge.
There is, however, another problem that has become the focus of a lot of recent research and media coverage: false information coming from unreliable sources.1,2

In an effort to jointly address both problems, herein we are organizing a workshop promoting research in joint Fact Extraction and VERification (FEVER).
We aim for FEVER to be a long-term venue for work in verifiable knowledge extraction and to stimulate progress in this direction, we will also host the FEVER shared task, an information verification task based on a recently released dataset consisting of 220K claims verified against Wikipedia (Thorne et al., NAACL 2018).

The workshop will consist of oral and poster presentation of submitted papers including papers from the shared task participants, panel discussions and presentations by the following invited speakers:

Instructions for Camera Ready Papers

Camera ready papers must be submitted by 2nd September 2018.

The final versions of papers may include one additional page of content to address the reviewer's comments

For shared task papers, the provisional rank and score may be included in the paper. Please state that this was the score prior to any human-evaluation of the evidence.

For papers selected as oral presentations, a 15 minute slot will be provided including Q&A. The presenters are welcomed to use this time as they see fit. Format for the projector screen is TBD.

All papers (including those accepted as oral) are welcomed to present a portrait poster. The poster boards for the workshops will the same as the main conference ones. The boards will be 1m wide and 2.50m tall (= +/- 3,28 feet wide and 8,20 feet high). These boards will comfortably fit an A0 poster in portrait mode. Materials for affixing the posters to the boards will be provided.

Delip Rao

Joostware AI Research, Johns Hopkins University,
Fake News Challenge

Luna Dong


Marie-Francine Moens

KU Leuven

Tim Rocktäschel

Facebook AI Research, University College London


We invite long and short papers on all topics related to fact extraction and verification, including:

  • Information Extraction
  • Semantic Parsing
  • Knowledge Base Population
  • Natural Language Inference
  • Textual Entailment Recognition
  • Argumentation Mining
  • Machine Reading and Comprehension
  • Claim Validation/Fact checking
  • Question Answering
  • Theorem Proving
  • Stance detection

Long/short papers should consist of eight/four pages of content plus unlimited pages for bibliography. Submissions must be in PDF format, anonymized for review, and follow the EMNLP 2018 two-column format, using the LaTeX style files or Word templates to be provided on the official EMNLP 2018 website.

Papers can be submitted as non-archival, so that their content can be reused for other venues. Add "(NON-ARCHIVAL)" to the title of the submission. Non-archival papers will be linked from this webpage.

Authors can also submit extended abstracts of up to eight pages of content. Add "(EXTENDED ABSTRACT)" to the title of an extended abstract submission. Extended abstracts will be presented as talks or posters if selected by the program committee, but not included in the proceedings. Thus, your work will retain the status of being unpublished and later submission at another venue is not precluded.

Previously published work can also be submitted as an extended abstract in the same way, with the additional requirement to state on the first page the original publication.

Softconf submission link:

FEVER Shared task

For more information on the shared task please visit the following page: Shared Task

Important dates

  • First call for papers: 24 May 2018
  • Second call for papers: 26 June 2018
  • Submission deadline: 10 August 2018
  • Notification: 27 August 2018
  • Camera-ready deadline: 2 September 2018
  • Workshop: 1 November (EMNLP)

All deadlines are calculated at 11:59pm Pacific Daylight Savings Time (UTC -7h).


James Thorne

University of Sheffield

Andreas Vlachos

University of Sheffield

Oana Cocarascu

Imperial College London

Christos Christodoulopoulos

Amazon Research Cambridge

Arpit Mittal

Amazon Research Cambridge