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Selecting Features with Class Based and Importance Weighted Document Frequency in Text Classification.. DocEng, page 139-142. ACM, (2016)Machine Learning Based Semantic Inference: Experiments and Observations at RTE-3., , , and . ACL-PASCAL@ACL, page 159-164. Association for Computational Linguistics, (2007)Weighted Document Frequency for feature selection in text classification., , , and . IALP, page 132-135. IEEE, (2015)Leveraging Sub-class Partition Information in Binary Classification and Its Application., and . SGAI Conf., page 299-304. Springer, (2009)Using content analysis to investigate the research paths chosen by scientists over time., , , and . Scientometrics, 83 (1): 321-335 (2010)Impacts of high-speed railway on the industrial pollution emissions in China: Evidence from multi-period difference-in-differences models., , , , and . Kybernetes, 49 (11): 2713-2735 (2020)Improving Multiclass Text Classification with Error-Correcting Output Coding and Sub-class Partitions., and . Canadian AI, volume 6085 of Lecture Notes in Computer Science, page 4-15. Springer, (2010)Literature based Clinical Decision Support: Searching Articles According to Medical Needs., , , , , and . TREC, volume 500-321 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2016)Exploiting CCG Structures with Tree Kernels for Speculation Detection., , and . CoNLL Shared Task, page 126-131. ACL, (2010)Adapting associative classification to text categorization., , , and . ACM Symposium on Document Engineering, page 205-208. ACM, (2007)