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MEX Interfaces: Automating Machine Learning Metadata Generation

, , , , , , , , and . 12th International Conference on Semantic Systems (SEMANTiCS 2016), 12-15 September 2016, Leipzig, Germany, (2016)

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SimpleLSTM: A Deep-Learning Approach to Simple-Claims Classification, , , and . EPIA Conference on Artificial Intelligence, page 244--255. Springer, (2019)TISCO: Temporal scoping of facts, , , , , , and . Journal of Web Semantics, (2018)MEX vocabulary: a lightweight interchange format for machine learning experiments., , , , , , and . SEMANTiCS, page 169-176. ACM, (2015)Towards Better Evidence Extraction Methods for Fact-Checking Systems., , , and . WI/IAT, page 277-284. ACM, (2021)DeFactoNLP: Fact Verification using Entity Recognition, TFIDF Vector Comparison and Decomposable Attention., , and . CoRR, (2018)Toward Veracity Assessment in RDF Knowledge Bases: An Exploratory Analysis., , , and . ACM J. Data Inf. Qual., 9 (3): 16:1-16:26 (2018)MEX Interfaces: Automating Machine Learning Metadata Generation, , , , , , , , and . 12th International Conference on Semantic Systems (SEMANTiCS 2016), 12-15 September 2016, Leipzig, Germany, (2016)Mandolin: A Knowledge Discovery Framework for the Web of Data, , , and . University of Leipzig, (2017)DeFacto - Temporal and multilingual Deep Fact Validation., , , , , , and . J. Web Semant., (2015)MEX Interfaces: Automating Machine Learning Metadata Generation., , , , , and . SEMANTiCS, page 17-24. ACM, (2016)