Fetching the paper…
Reading the bibliography…
Automated fact-checking based on machine learning is a promising approach to identify false information distributed on the web.
Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit
Jacob Cohen. 1968 · 1968
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
Automatic Summarization of Open-Domain Multiparty Dialogues in Diverse Genres
Klaus Zechner. 2002 · 2002
Earlier work this paper cites.
Inter-coder agreement for computational linguistics
Ron Artstein and Massimo Poesio. 2008 · 2008
Earlier work this paper cites.
Learning Whom to Trust with MACE
Dirk Hovy, Taylor Berg-Kirkpatrick, Ashish Vaswani, and Eduard Hovy. 2013 · 2013
Earlier work this paper cites.
Digital wildfires in a hyperconnected world
Lee Howell et al. 2013 · 2013
Earlier work this paper cites.
Fact checking: Task definition and dataset construction
Andreas Vlachos and Sebastian Riedel. 2014 · 2014
Earlier work this paper cites.
A large annotated corpus for learning natural language inference
Samuel R Bowman, Gabor Angeli, Christopher Potts, and Christopher D Manning. 2015 · 2015
Earlier work this paper cites.
Bridging the gap between extractive and abstractive summaries: Creation and evaluation of coherent extracts from heterogeneous sources
Darina Benikova, Margot Mieskes, Christian M. Meyer, and Iryna Gurevych. 2016 · 2016
Cited alongside, same era.
Emergent: a novel data-set for stance classification
William Ferreira and Andreas Vlachos. 2016 · 2016
Cited alongside, same era.
A decomposable attention model for natural language inference
Ankur P Parikh, Oscar Täckström, Dipanjan Das, and Jakob Uszkoreit. 2016 · 2016
Cited alongside, same era.
Semeval-2017 task 8: Rumoureval: Determining rumour veracity and support for rumours
Leon Derczynski, Kalina Bontcheva, Maria Liakata, Rob Procter, Geraldine Wong Sak Hoi, and Arkaitz Zubiaga. 2017 · 2017
Cited alongside, same era.
A framework for automated fact-checking for real-time validation of emerging claims on the web
Andreas Hanselowski and Iryna Gurevych. 2017 · 2017
Cited alongside, same era.
The argument reasoning comprehension task
Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, and Benno Stein. 2017 · 2018
Later among the works it cites.
A retrospective analysis of the fake news challenge stance detection task
Andreas Hanselowski, Avinesh PVS, Benjamin Schiller, Felix Caspelherr, Debanjan Chaudhuri, Christian M Meyer, and Iryna Gurevych. 2018a · 2018
Later among the works it cites.
Ukp-athene: Multi-sentence textual entailment for claim verification
Andreas Hanselowski, Hao Zhang, Zile Li, Daniil Sorokin, Benjamin Schiller, Claudia Schulz, and Iryna Gurevych. 2018b · 2018
Later among the works it cites.
Overview of the clef-2018 checkthat! lab on automatic identification and verification of political claims
Preslav Nakov, Alberto Barrón-Cedeño, Tamer Elsayed, Reem Suwaileh, Lluís Màrquez, Wajdi Zaghouani, Pepa Atanasova, Spas Kyuchukov, and Giovanni Da San Martino. 2018 · 2018
Later among the works it cites.
Beyond generic summarization: A multi-faceted hierarchical summarization corpus of large heterogeneous data
Christopher Tauchmann, Thomas Arnold, Andreas Hanselowski, Christian M Meyer, and Margot Mieskes. 2018 · 2018
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Where the truth lies: Explaining the credibility of emerging claims on the web and social media
Kashyap Popat, Subhabrata Mukherjee, Jannik Strötgen, and Gerhard Weikum. 2017 · 2017
Cited alongside, same era.
” liar, liar pants on fire”: A new benchmark dataset for fake news detection
William Yang Wang. 2017 · 2017
Cited alongside, same era.
Universal sentence encoder
Daniel Cer, Yinfei Yang, Sheng-yi Kong, Nan Hua, Nicole Limtiaco, Rhomni St John, Noah Constant, Mario Guajardo-Cespedes, Steve Yuan, Chris Tar, et al. 2018 · 2018
Cited alongside, same era.
FEVER: a large-scale dataset for fact extraction and verification
James Thorne, Andreas Vlachos, Christos Christodoulopoulos, and Arpit Mittal. 2018a
Cited in the paper.
The fact extraction and verification (fever) shared task
James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos, and Arpit Mittal. 2018b
Cited in the paper.
Later among the works it cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2019
Closest in time.
The Fake News Challenge: Exploring how artificial intelligence technologies could be leveraged to combat fake news
Dean Pomerleau and Delip Rao. 2017 · 2019
Closest in time.