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ChEMU 2020: Natural Language Processing Methods Are Effective for Information Extraction From Chemical Patents., , , , , , , , , and 5 other author(s). Frontiers Res. Metrics Anal., (2021)An Extended Overview of the CLEF 2020 ChEMU Lab: Information Extraction of Chemical Reactions from Patents., , , , , , , , , and 32 other author(s). CLEF (Working Notes), volume 2696 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)ChEMU: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents., , , , , , , , , and 1 other author(s). ECIR (2), volume 12036 of Lecture Notes in Computer Science, page 572-579. Springer, (2020)Fast Training of a Graph Boosting for Large-Scale Text Classification., and . PRICAI, volume 9810 of Lecture Notes in Computer Science, page 638-650. Springer, (2016)On the Effectiveness of Images in Multi-modal Text Classification: An Annotation Study., , , , , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 22 (3): 79:1-79:19 (March 2023)Virtual machine placement for minimizing connection cost in data center networks., , and . INFOCOM Workshops, page 486-491. IEEE, (2015)On the (In)Effectiveness of Images for Text Classification., , , , , and . EACL, page 42-48. Association for Computational Linguistics, (2021)Extended Overview of ChEMU 2022 Evaluation Campaign: Information Extraction in Chemical Patents., , , , , , , , , and 14 other author(s). CLEF (Working Notes), volume 3180 of CEUR Workshop Proceedings, page 758-781. CEUR-WS.org, (2022)Virtual machine placement for minimizing connection cost in data center networks., , and . Discret. Optim., (2017)Selective-LAMA: Selective Prediction for Confidence-Aware Evaluation of Language Models., and . EACL (Findings), page 1972-1983. Association for Computational Linguistics, (2023)