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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 4 of 4 1 The Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS) Shared Task ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Michael; Aly, Rami. - : Underline Science Inc., 2021 BASE Show details 2 Stance Detection in German News Articles Schneebeli, Christian; Ruzsics, Tatyana; Kadar, Cristina... In: Proceedings of the Fourth Workshop on Fact Extraction and VERification (FEVER) (2021) BASE Show details 3 Evidence Selection as a Token-Level Prediction Task Stammbach, Dominik In: Proceedings of the Fourth Workshop on Fact Extraction and VERification (FEVER) (2021) Abstract: In Automated Claim Verification, we retrieve evidence from a knowledge base to determine the veracity of a claim. Intuitively, the retrieval of the correct evidence plays a crucial role in this process. Often, evidence selection is tackled as a pairwise sentence classification task, i.e., we train a model to predict for each sentence individually whether it is evidence for a claim. In this work, we fine-tune document level transformers to extract all evidence from a Wikipedia document at once. We show that this approach performs better than a comparable model classifying sentences individually on all relevant evidence selection metrics in FEVER. Our complete pipeline building on this evidence selection procedure produces a new state-of-the-art result on FEVER, a popular claim verification benchmark. URL: https://hdl.handle.net/20.500.11850/521291 https://doi.org/10.3929/ethz-b-000521291 BASE Hide details 4 FANG-COVID: A new large-scale benchmark dataset for fake news detection in German Mattern, Justus; Qiao, Yu; Kerz, Elma. - : Association for Computational Linguistics (ACL), 2021 BASE Show details

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