Papers with validation process
European Language Resource Coordination: Collecting Language Resources for Public Sector Multilingual Information Management (L18-1)
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Andrea Lösch, Valérie Mapelli, Stelios Piperidis, Andrejs Vasiļjevs, Lilli Smal, Thierry Declerck, Eileen Schnur, Khalid Choukri, Josef van Genabith
| Challenge: | European Language Resource Coordination (ELRC) initiated a number of actions to support the collection of Language Resources (LRs) within the public sector in EU member and CEF-affiliated countries. |
| Approach: | They propose to initiate actions to support the collection of Language Resources (LRs) within the public sector in EU member and CEF-affiliated countries. |
| Outcome: | The European Language Resource Coordination (ELRC) consortium initiated a number of actions to support the collection of Language Resources (LRs) within the public sector in EU member and CEF-affiliated countries. |
Automatic Detection of Fake News (C18-1)
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| Challenge: | a growing number of fake news detection tools are needed to identify trustworthy news sources. |
| Approach: | They propose to use two novel datasets to automate the identification of fake news . they propose learning experiments to build accurate fake news detectors . |
| Outcome: | The proposed algorithms achieve accuracies of up to 76% and compare them with other tools . the proposed algorithms are based on satirical news sources and fact-checking websites . |
Speech Foundation Models and Crowdsourcing for Efficient, High-Quality Data Collection (2025.coling-main)
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| Challenge: | Existing methods for crowdsourcing data collection require a human workforce, which is hard to sustain. |
| Approach: | They propose to use Speech Foundation Models to automate validation processes . they find that SFMs can reduce reliance on human validation . |
| Outcome: | The proposed model reduces the reliance on human validation without degrading the quality of the final data. |
Defying Wikidata: Validation of Terminological Relations in the Web of Data (2020.lrec-1)
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| Challenge: | a new approach to validate terminological data retrieved from open encyclopaedic knowledge bases is needed . the legal domain is one of the most valuable areas of knowledge in the world . |
| Approach: | They propose to validate terminological data retrieved from open encyclopaedic knowledge bases by enriching them with information from existing resources in the Semantic Web. |
| Outcome: | The proposed method validates terms from open encyclopaedic knowledge bases in four languages. |