This paper presents recent work using the CHILL parser acquisition system to automate the
construction of a natural-language interface for database queries. CHILL treats parser …

Inductive logic programming (ILP) is a form of machine learning. The goal of ILP is to induce
a hypothesis (a set of logical rules) that generalises training examples. As ILP turns 30, we …

This paper reviews our recent work on applying inductive logic programming to the
construction of natural language processing systems. We have developed a system, Chill …

Inductive Logic Programming (ILP) is the area of AI which deals with the induction of
hypothesised predicate definitions from examples and background knowledge. Logic …

In this paper, we present an approach to incorporate retrieved datapoints as supporting
evidence for context-dependent semantic parsing, such as generating source code …

This publication advances the state-of-the-art in ontology learning by presenting a set of
novel approaches to the semi-automatic acquisition, refinement and evaluation of logically …

Abstract Simple Recurrent Networks (SRNs) have been widely used in natural language
tasks. SARDSRN extends the SRN by explicitly representing the input sequence in a …

Inductive logic programming (ILP) is a form of machine learning. The goal of ILP is to induce
a hypothesis (a set of logical rules) that generalises given training examples. In contrast to …

Abstract Simple Recurrent Networks (Srn s) have been widely used in natural language
processing tasks. However, their ability to handle long-term dependencies between …

Building a natural language interface for a database has been an interesting task since the
70‟ s, which often requires creating a semantic parser. A study on using an advanced …