| Diagnostics-Guided Explanation Generation. | 0 | 0.34 | 2022 |
| Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing | 0 | 0.34 | 2022 |
| Joint emotion label space modeling for affect lexica | 0 | 0.34 | 2022 |
| Fact Checking with Insufficient Evidence. | 0 | 0.34 | 2022 |
| Multi-Hop Fact Checking of Political Claims. | 0 | 0.34 | 2021 |
| SOLID - A Large-Scale Semi-Supervised Dataset for Offensive Language Identification. | 0 | 0.34 | 2021 |
| Generating Fact Checking Explanations | 1 | 0.34 | 2020 |
| SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020) | 1 | 0.35 | 2020 |
| Generating Label Cohesive and Well-Formed Adversarial Claims. | 0 | 0.34 | 2020 |
| Automatic Fact-Checking Using Context and Discourse Information | 3 | 0.36 | 2019 |
| SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums. | 3 | 0.36 | 2019 |
| Evaluating Variable-Length Multiple-Option Lists in Chatbots and Mobile Search. | 0 | 0.34 | 2019 |
| CheckThat! at CLEF 2019: Automatic Identification and Verification of Claims. | 3 | 0.39 | 2019 |
| It Takes Nine to Smell a Rat - Neural Multi-Task Learning for Check-Worthiness Prediction. | 4 | 0.38 | 2019 |
| Overview of the CLEF-2019 CheckThat! Lab - Automatic Identification and Verification of Claims. Task 1 - Check-Worthiness. | 0 | 0.34 | 2019 |
| Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 2: Factuality. | 1 | 0.36 | 2018 |
| Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. | 5 | 0.46 | 2018 |
| Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 1: Check-Worthiness. | 0 | 0.34 | 2018 |
| ClaimRank: Detecting Check-Worthy Claims in Arabic and English. | 4 | 0.39 | 2018 |
| We Built a Fake News & Click-bait Filter: What Happened Next Will Blow Your Mind! | 0 | 0.34 | 2018 |
| We Built a Fake News / Click Bait Filter: What Happened Next Will Blow Your Mind! | 0 | 0.34 | 2017 |
| Generating Labeled Datasets of Twitter Users. | 0 | 0.34 | 2017 |
| A Context-Aware Approach for Detecting Worth-Checking Claims in Political Debates. | 2 | 0.36 | 2017 |
| SUper Team at SemEval-2016 Task 3: Building a Feature-Rich System for Community Question Answering. | 2 | 0.37 | 2016 |
| PANcakes Team: A Composite System of Domain-Agnostic Features For Author Profiling. | 0 | 0.34 | 2016 |
