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Cross-lingual Structure Transfer for Zero-resource Event Extraction., , , , , , and . LREC, page 1976-1981. European Language Resources Association, (2020)Target-focused Sentiment and Belief Extraction and Classification using CUBISM., , , , , , and . TAC, NIST, (2016)GAIA at SM-KBP 2019 - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System., , , , , , , , , and 23 other author(s). TAC, NIST, (2019)GAIA - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System., , , , , , , , , and 24 other author(s). TAC, NIST, (2018)Applying Learning and Semantics for Personalized Food Recommendations., , , , , , , , , and 4 other author(s). ISWC (Demos/Industry), volume 2721 of CEUR Workshop Proceedings, page 305-310. CEUR-WS.org, (2020)Notes on Lynch-Morawska Systems., , , , and . UNIF, page 25-30. (2016)Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph., , , and . WSDM, page 544-552. ACM, (2021)Cross-lingual Structure Transfer for Relation and Event Extraction., , , , , , and . EMNLP/IJCNLP (1), page 313-325. Association for Computational Linguistics, (2019)