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Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction.

, , , , , , and . ECML/PKDD (2), volume 6322 of Lecture Notes in Computer Science, page 128-144. Springer, (2010)

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Natural Language Processing (Almost) from Scratch., , , , , and . J. Mach. Learn. Res., (2011)N-gram-Based Low-Dimensional Representation for Document Classification., and . ICLR (Workshop), (2015)Learning to rank with (a lot of) word features., , , , , , , and . Inf. Retr., 13 (3): 291-314 (2010)Rehabilitation of Count-based Models for Word Vector Representations., and . CoRR, (2014)Deep learning from temporal coherence in video., , and . ICML, volume 382 of ACM International Conference Proceeding Series, page 737-744. ACM, (2009)Combining labeled and unlabeled data with word-class distribution learning., , , , and . CIKM, page 1737-1740. ACM, (2009)Flashlight: Enabling Innovation in Tools for Machine Learning., , , , , , , , , and 4 other author(s). ICML, volume 162 of Proceedings of Machine Learning Research, page 10557-10574. PMLR, (2022)Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction., , , , , , and . ECML/PKDD (2), volume 6322 of Lecture Notes in Computer Science, page 128-144. Springer, (2010)Semi-Supervised Sequence Labeling with Self-Learned Features., , , , , and . ICDM, page 428-437. IEEE Computer Society, (2009)Who Needs Words? Lexicon-Free Speech Recognition., , and . INTERSPEECH, page 3915-3919. ISCA, (2019)