Co-occurring keywords · papers mentioning both
Papers
Generating Fact Checking Explanations
ACL 2020
Generating Fact Checking Summaries for Web Claims
EMNLP 2020
Generating Label Cohesive and Well-Formed Adversarial Claims
EMNLP 2020
Language Models as Fact Checkers?
ACL 2020
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network
ACL 2020
Reasoning Over Semantic-Level Graph for Fact Checking
ACL 2020
Two Stage Transformer Model for COVID-19 Fake News Detection and Fact Checking
COLING 2020
Unsupervised Fact Checking by Counter-Weighted Positive and Negative Evidential Paths in A Knowledge Graph
COLING 2020
BLCU_NLP at SemEval-2019 Task 8: A Contextual Knowledge-enhanced GPT Model for Fact Checking
SemEval 2019
BREAKING! Presenting Fake News Corpus for Automated Fact Checking
ACL 2019
CodeForTheChange at SemEval-2019 Task 8: Skip-Thoughts for Fact Checking in Community Question Answering
SemEval 2019
Fact Checking or Psycholinguistics: How to Distinguish Fake and True Claims?
EMNLP 2019
FAKTA: An Automatic End-to-End Fact Checking System
NAACL 2019
GEM: Generative Enhanced Model for adversarial attacks
EMNLP 2019
How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing
EMNLP 2019
MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims
EMNLP 2019
SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums
SemEval 2019
TMLab SRPOL at SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums
SemEval 2019
Veritas Annotator: Discovering the Origin of a Rumour
EMNLP 2019
An End-to-End Multi-task Learning Model for Fact Checking
EMNLP 2018
Fact Checking via Evidence Patterns
IJCAI 2018
Improving Large-Scale Fact-Checking using Decomposable Attention Models and Lexical Tagging
EMNLP 2018
Integrating Stance Detection and Fact Checking in a Unified Corpus
NAACL 2018
Team SWEEPer: Joint Sentence Extraction and Fact Checking with Pointer Networks
EMNLP 2018
Uni-DUE Student Team: Tackling fact checking through decomposable attention neural network
EMNLP 2018