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No one is perfect: Analysing the performance of question answering components over the DBpedia knowledge graph

, , , , , and . Journal of Web Semantics, (2020)
DOI: https://doi.org/10.1016/j.websem.2020.100594

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No one is perfect: Analysing the performance of question answering components over the DBpedia knowledge graph, , , , , and . Journal of Web Semantics, (2020)Encoding knowledge graph entity aliases in attentive neural network for Wikidata Entity Linking, , , , , , and . (2019)Context-aware Entity Linking with Attentive Neural Networks on Wikidata Knowledge Graph, , , , , , , and . CoRR, (2019)Evaluating the impact of knowledge graph context on entity disambiguation models, , , , , and . (2020)Microbenchmarks for question answering systems using QAldGeN, , , , , and . (2019)Why reinvent the wheel, , , , , , , , , and 3 other author(s). Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18, New York, New York, USA, ACM Press, (2018)QaldGen: Towards microbenchmarking of question answering systems over knowledge graphs, , , , , , and . Lecture Notes in Computer Science, Springer International Publishing, Cham, (2019)Towards optimisation of collaborative Question Answering over knowledge graphs, , , , , , , and . (2019)Old is Gold: Linguistic Driven Approach for Entity and Relation Linking of Short Text, , , , , , and . Proceedings of the 2019 Conference of the North, Association for Computational Linguistics, (2019)