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Complex Query Answering with Neural Link Predictors.

, , , и . ICLR, OpenReview.net, (2021)

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Pablo Pasquale

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Pasquale Borrelli

 

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Apertium goes SOA: an efficient and scalable service based on the Apertium rule-based machine translation platform. Proceedings of the First International Workshop on Free/Open-Source Rule-Based Machine Translation, стр. 59--65. Alacant, Spain, (ноября 2009)Efficient Learning of Entity and Predicate Embeddings for Link Prediction in Knowledge Graphs., , , и . URSW@ISWC, том 1479 из CEUR Workshop Proceedings, стр. 26-37. CEUR-WS.org, (2015)Neural Variational Inference For Estimating Knowledge Graph Embedding Uncertainty., , , , , и . NeSy@IJCAI, (2019)A Hybrid Method for Rating Prediction Using Linked Data Features and Text Reviews., , , , и . (KNOW@LOD/CoDeS)@ESWC, том 1586 из CEUR Workshop Proceedings, CEUR-WS.org, (2016)Don't Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering., , , и . EMNLP (1), стр. 3029-3039. Association for Computational Linguistics, (2020)An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks., , , , , и . EMNLP, стр. 5184-5196. Association for Computational Linguistics, (2022)Rank prediction for semantically annotated resources., , , и . SAC, стр. 333-338. ACM, (2013)On the Independence Assumption in Neurosymbolic Learning., , , и . CoRR, (2024)Differentiable Reasoning on Large Knowledge Bases and Natural Language., , , , и . CoRR, (2019)Learning to Propagate Knowledge in Web Ontologies., , , и . URSW, том 1259 из CEUR Workshop Proceedings, стр. 13-24. CEUR-WS.org, (2014)