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The Intended Uses of Automated Fact-Checking Artefacts: Why, How and Who.

, , and . EMNLP (Findings), page 8618-8642. Association for Computational Linguistics, (2023)

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The Intended Uses of Automated Fact-Checking Artefacts: Why, How and Who., , and . EMNLP (Findings), page 8618-8642. Association for Computational Linguistics, (2023)Are Embedded Potatoes Still Vegetables? On the Limitations of WordNet Embeddings for Lexical Semantics., , and . EMNLP, page 8763-8775. Association for Computational Linguistics, (2023)Multimodal Automated Fact-Checking: A Survey., , , , , and . EMNLP (Findings), page 5430-5448. Association for Computational Linguistics, (2023)Learning affective projections for emoticons on Twitter.. CogInfoCom, page 539-543. IEEE, (2015)AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web., , and . CoRR, (2023)Unified Open-Domain Question Answering with Structured and Unstructured Knowledge., , , , , , , , and . CoRR, (2020)Evaluating for Diversity in Question Generation over Text., and . CoRR, (2020)MSejrKu at SemEval-2016 Task 14: Taxonomy Enrichment by Evidence Ranking., and . SemEval@NAACL-HLT, page 1337-1341. The Association for Computer Linguistics, (2016)Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking., , and . ICLR, OpenReview.net, (2021)Joint Verification and Reranking for Open Fact Checking Over Tables., , , , , and . CoRR, (2020)