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Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing.

, , , , , and . CVPR Workshops, page 1563-1566. Computer Vision Foundation / IEEE, (2020)

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Evaluating Biomedical Word Embeddings for Vocabulary Alignment at Scale in the UMLS Metathesaurus Using Siamese Networks., , , , , , , and . Insights@ACL, page 82-87. Association for Computational Linguistics, (2022)Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media., , , , , , , and . ASONAM, page 1191-1198. ACM, (2017)Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing., , , , , and . CVPR Workshops, page 1563-1566. Computer Vision Foundation / IEEE, (2020)Mental Health Analysis Via Social Media Data., , , , , and . ICHI, page 459-460. IEEE Computer Society, (2018)Knowledge-Driven Drug-Use NamedEntity Recognition with Distant Supervision., , , , , , and . MedInfo, volume 290 of Studies in Health Technology and Informatics, page 140-144. IOS Press, (2021)Context-Enriched Learning Models for Aligning Biomedical Vocabularies at Scale in the UMLS Metathesaurus., , , , , , , and . WWW, page 1037-1046. ACM, (2022)Network Representation Learning: Consolidation and Renewed Bearing., , , , , , , , , and 2 other author(s). CoRR, (2019)