LAUSR

OntoILPER: an ontology- and inductive logic programming-based system to extract entities and relations from text

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0 Published in 2017 at "Knowledge and Information Systems"

DOI: 10.1007/s10115-017-1108-3

Abstract: Named entity recognition (NER) and relation extraction (RE) are two important subtasks in information extraction (IE). Most of the current learning methods for NER and RE rely on supervised machine learning techniques with more accurate… read more here.

Keywords: ontology; system; inductive logic; logic programming ... See more keywords

Preface to the special issue on inductive logic programming

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1 Published in 2018 at "Machine Learning"

DOI: 10.1007/s10994-018-5720-6

Abstract: We are pleased to present this special issue of Machine Learning on inductive logic programming (ILP). The papers contained in this volume are extended and thoroughly revised versions of shorter papers which were first presented… read more here.

Keywords: ilp; issue; inductive logic; logic programming ... See more keywords

Guest editors’ introduction: special issue on Inductive Logic Programming (ILP 2019)

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1 Published in 2020 at "Machine Learning"

DOI: 10.1007/s10994-020-05891-7

Abstract: This special issue contains six articles selected from submissions to the journal track of the 29th International Conference on Inductive Logic Programming (ILP 2019). ILP is a type of symbolic machine learning in which logic… read more here.

Keywords: ilp 2019; order; inductive logic; logic programming ... See more keywords

Inductive logic programming at 30

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4 Published in 2022 at "Machine Learning"

DOI: 10.1007/s10994-021-06089-1

Abstract: Inductive logic programming (ILP) is a form of logic-based machine learning. The goal is to induce a hypothesis (a logic program) that generalises given training examples and background knowledge. As ILP turns 30, we review… read more here.

Keywords: logic programming; logic; inductive logic;