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Discovering scientific influence using cross-domain dynamic topic modeling.

, , , and . IEEE BigData, page 1325-1332. IEEE Computer Society, (2017)

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Online Unsupervised Coreference Resolution for Semi-structured Heterogeneous Data.. ISWC (2), volume 7650 of Lecture Notes in Computer Science, page 457-460. Springer, (2012)Entity Type Recognition for Heterogeneous Semantic Graphs., and . AAAI Fall Symposia, AAAI Press, (2013)Learning Co-reference Relations for FOAF Instances., and . ISWC (Posters & Demos), volume 658 of CEUR Workshop Proceedings, CEUR-WS.org, (2010)Ontology-Grounded Topic Modeling for Climate Science Research., , and . SW4SG@ISWC, volume 2182 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)Entity Type Recognition for Heterogeneous Semantic Graphs, , and . AI Magazine, 36 (1): 75-86 (March 2015)Taming Wild Big Data., and . AAAI Fall Symposia, AAAI Press, (2014)A Generative Adversarial Network for Climate Tipping Point Discovery (TIP-GAN)., , , , , , , , , and 3 other author(s). CoRR, (2023)Type Prediction for Efficient Coreference Resolution in Heterogeneous Semantic Graphs., and . ICSC, page 78-85. IEEE Computer Society, (2013)Meerkat Mafia: Multilingual and Cross-Level Semantic Textual Similarity Systems., , , , , , and . SemEval@COLING, page 416-423. The Association for Computer Linguistics, (2014)Cluster-based Instance Consolidation For Subsequent Matching., and . KECSM@ISWC, volume 895 of CEUR Workshop Proceedings, page 13-18. CEUR-WS.org, (2012)