Papers by Ralph Ewerth
The STEM-ECR Dataset: Grounding Scientific Entity References in STEM Scholarly Content to Authoritative Encyclopedic and Lexicographic Sources (2020.lrec-1)
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| Challenge: | a dataset for scientific entity extraction, classification, and resolution has been developed . a generic conceptual formalism for scientific entities is feasible, the authors say . |
| Approach: | They propose a STEM-ECR dataset that provides a domain-independent benchmark for scientific entity extraction, classification, and resolution tasks. |
| Outcome: | The proposed dataset provides a benchmark for evaluation of scientific entity extraction, classification, and resolution tasks in a domain-independent fashion. |
MM-Claims: A Dataset for Multimodal Claim Detection in Social Media (2022.findings-naacl)
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Gullal Singh Cheema, Sherzod Hakimov, Abdul Sittar, Eric Müller-Budack, Christian Otto, Ralph Ewerth
| Challenge: | Using image and text, we investigate the role of image and texts in fake news detection . claim detection is a step in fighting misinformation and as a precursor to prioritize potentially false information for fact-checking. |
| Approach: | They propose a dataset that consists of tweets and corresponding images for claim detection . they evaluate strong unimodal and multimodal baselines and analyze drawbacks of current models . |
| Outcome: | The proposed dataset evaluates strong unimodal and multimodal baselines and examines drawbacks of existing models. |