This document arose from notes made in preparation for a tutorial on European ILP work on NLP given at the ILP tutorial day which took place immediately before ILP'98 in Madison, Wisconsin, USA. It does not cover American work in this area---this was handled by Ray Mooney at the tutorial day. (Go to http://www.cs.utexas.edu/users/ml/ to find a number of ILP+NLP papers from Mooney's group.) Also it is narrowly focussed on ILP, and does not attempt a discussion of related work involving logic and/or machine learning in an NLP context. 2 Representatio
textInductive Logic Programming (ILP) is the intersection of Machine Learning and Logic Programming...
Knowledge representation and reasoning (KR&R) and machine learning are two important fields in a...
. This paper reviews our recent work on applying inductive logic programming to the construction of ...
AbstractInductive Logic Programming (ILP) is the area of AI which deals with the induction of hypoth...
We summarise recent work on using Inductive Logic Programming (ILP) for Natural Language Processing ...
Inductive Logic Programming (ILP) is a field at the intersection of Machine Learning and Logic Progr...
Inductive logic programming (ILP) is a form of machine learning. The goal of ILP is to induce a hypo...
Inductive logic programming (ILP) is a form of logic-based machine learning. The goal is to induce a...
The current paper presents a brief overview of Inductive logic programming (ILP) systems. ILP algori...
Inductive Logic Programming (ILP) is a subfield of Machine Learning with foundations in logic progra...
Abstract The last three decades has seen the development of Computational Logic techniques within Ar...
Inductive Logic Programming (ILP) is a new discipline which investigates the inductive construction ...
Inductive logic programming (ILP) is built on a foundation laid by research in machine learning and ...
Acquiring and maintaining Semantic Web rules is very demanding and can be automated though partially...
. This paper provides a brief introduction and overview of the emerging area of Inductive Constrain...
textInductive Logic Programming (ILP) is the intersection of Machine Learning and Logic Programming...
Knowledge representation and reasoning (KR&R) and machine learning are two important fields in a...
. This paper reviews our recent work on applying inductive logic programming to the construction of ...
AbstractInductive Logic Programming (ILP) is the area of AI which deals with the induction of hypoth...
We summarise recent work on using Inductive Logic Programming (ILP) for Natural Language Processing ...
Inductive Logic Programming (ILP) is a field at the intersection of Machine Learning and Logic Progr...
Inductive logic programming (ILP) is a form of machine learning. The goal of ILP is to induce a hypo...
Inductive logic programming (ILP) is a form of logic-based machine learning. The goal is to induce a...
The current paper presents a brief overview of Inductive logic programming (ILP) systems. ILP algori...
Inductive Logic Programming (ILP) is a subfield of Machine Learning with foundations in logic progra...
Abstract The last three decades has seen the development of Computational Logic techniques within Ar...
Inductive Logic Programming (ILP) is a new discipline which investigates the inductive construction ...
Inductive logic programming (ILP) is built on a foundation laid by research in machine learning and ...
Acquiring and maintaining Semantic Web rules is very demanding and can be automated though partially...
. This paper provides a brief introduction and overview of the emerging area of Inductive Constrain...
textInductive Logic Programming (ILP) is the intersection of Machine Learning and Logic Programming...
Knowledge representation and reasoning (KR&R) and machine learning are two important fields in a...
. This paper reviews our recent work on applying inductive logic programming to the construction of ...