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Beating the Artificial Chaos: Fighting OSN Spam Using Its Own Templates., , , , , , , and . IEEE/ACM Trans. Netw., 24 (6): 3856-3869 (2016)S2AMP: a high-coverage dataset of scholarly mentorship inferred from publications., , , and . JCDL, page 44. ACM, (2022)S2AND: A Benchmark and Evaluation System for Author Name Disambiguation., , , and . JCDL, page 170-179. IEEE, (2021)Few-Shot Self-Rationalization with Natural Language Prompts., , , and . NAACL-HLT (Findings), page 410-424. Association for Computational Linguistics, (2022)Penguins Don't Fly: Reasoning about Generics through Instantiations and Exceptions., , , , , and . EACL, page 2610-2627. Association for Computational Linguistics, (2023)Local and Global Algorithms for Disambiguation to Wikipedia., , , and . ACL, page 1375-1384. The Association for Computer Linguistics, (2011)Unsupervised Named-entity Extraction from the Web: An Experimental Study, , , , , , , and . Artif. Intell., 165 (1): 91--134 (June 2005)Using natural language to integrate, evaluate, and optimize extracted knowledge bases., , and . AKBC@CIKM, page 61-66. ACM, (2013)CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense., , , , and . CoRR, (2019)A Semantic Cover Approach for Topic Modeling., , , and . *SEM@NAACL-HLT, page 92-102. Association for Computational Linguistics, (2019)