 Extracting a Knowledge Base of COVID-19 Events from Social MediaInternational Conference on Computational Linguistics (COLING), 2020 |
 Rationalizing Text Matching: Learning Sparse Alignments via Optimal
TransportAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 An Information Bottleneck Approach for Controlling Conciseness in
Rationale ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 Fighting the COVID-19 Infodemic: Modeling the Perspective of
Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the
SocietyConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 Fact or Fiction: Verifying Scientific ClaimsConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 Leveraging Declarative Knowledge in Text and First-Order Logic for
Fine-Grained Propaganda DetectionConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 LogicalFactChecker: Leveraging Logical Operations for Fact Checking with
Graph Module NetworkAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 DTCA: Decision Tree-based Co-Attention Networks for Explainable Claim
VerificationAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 DeSePtion: Dual Sequence Prediction and Adversarial Examples for
Improved Fact-CheckingAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 Coreferential Reasoning Learning for Language RepresentationConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 Generating Fact Checking ExplanationsAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural
Language UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language
Models through Principled Regularized OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 ERASER: A Benchmark to Evaluate Rationalized NLP ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 Adversarial NLI: A New Benchmark for Natural Language UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 A Richly Annotated Corpus for Different Tasks in Automated Fact-CheckingConference on Computational Natural Language Learning (CoNLL), 2019 |
 Evaluating the Factual Consistency of Abstractive Text SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 Fine-grained Fact Verification with Kernel Graph Attention NetworkAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 Unsupervised Question Answering for Fact-CheckingConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 BERT for Evidence Retrieval and Claim VerificationEuropean Conference on Information Retrieval (ECIR), 2019 |
 Learning from Fact-checkers: Analysis and Generation of Fact-checking
LanguageAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2019 |
 Contrastive Language Adaptation for Cross-Lingual Stance DetectionConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 Automatic Fact-guided Sentence ModificationAAAI Conference on Artificial Intelligence (AAAI), 2019 |
 On the Importance of Delexicalization for Fact VerificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 Revealing the Importance of Semantic Retrieval for Machine Reading at
ScaleConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 Finding Generalizable Evidence by Learning to Convince Q&A ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 Reasoning Over Semantic-Level Graph for Fact CheckingAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact
Checking of ClaimsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 TabFact: A Large-scale Dataset for Table-based Fact VerificationInternational Conference on Learning Representations (ICLR), 2019 |
 Benchmarking Zero-shot Text Classification: Datasets, Evaluation and
Entailment ApproachConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 EntEval: A Holistic Evaluation Benchmark for Entity RepresentationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 Detecting Toxicity in News Articles: Application to BulgarianRecent Advances in Natural Language Processing (RANLP), 2019 |
 It Takes Nine to Smell a Rat: Neural Multi-Task Learning for
Check-Worthiness PredictionRecent Advances in Natural Language Processing (RANLP), 2019 |
 Towards Debiasing Fact Verification ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 GEAR: Graph-based Evidence Aggregating and Reasoning for Fact
VerificationAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 Explainable Fact Checking with Probabilistic Answer Set ProgrammingConference for Truth and Trust Online (TTO), 2019 |
 DocRED: A Large-Scale Document-Level Relation Extraction DatasetAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
