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Word Sense Disambiguation Using Inductive Logic Programming.

, , , and . ILP, volume 4455 of Lecture Notes in Computer Science, page 409-423. Springer, (2006)

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Multi-instance tree learning., , and . ICML, volume 119 of ACM International Conference Proceeding Series, page 57-64. ACM, (2005)Discrete Stochastic Search and Its Application to Feature-Selection for Deep Relational Machines., , , and . ICANN (2), volume 11728 of Lecture Notes in Computer Science, page 29-45. Springer, (2019)What Kinds of Relational Features Are Useful for Statistical Learning?, , and . ILP, volume 7842 of Lecture Notes in Computer Science, page 209-224. Springer, (2012)Classificatory challenge-data mining: a recipe., and . Informatica (Slovenia), (2001)Quantitative pharmacophore models with inductive logic programming., , , and . Mach. Learn., 64 (1-3): 65-90 (2006)One-shot Information Extraction from Document Images using Neuro-Deductive Program Synthesis., , , , and . NeSy@IJCAI, (2019)An Empirical Study of Iterative Knowledge Distillation for Neural Network Compression., , , , and . ESANN, page 217-222. (2020)Hybrid BiLSTM-Siamese network for FAQ Assistance., , , , and . CIKM, page 537-545. ACM, (2017)Are Grammatical Representations Useful for Learning from Biological Sequence Data? - A Case Study., , , , , and . J. Comput. Biol., 8 (5): 493-521 (2001)The Justification of Logical Theories based on Data Compression., , and . Machine Intelligence 13, page 87-121. Clarendon Press, Oxford, (1992)