@inproceedings{f9b19eb1947249878fa7eaa1ba4f1ca8,
title = "LEILA: Learning to Extract Information by Linguistic Analysis",
abstract = "One of the challenging tasks in the context of the Semantic Web is to automatically extract instances of binary relations from Web documents – for example all pairs of a person and the corresponding birthdate. In this paper, we present LEILA, a system that can extract instances of arbitrary given binary relations from natural language Web documents – without human interaction. Different from previous approaches, LEILA uses a deep syntactic analysis. This results in consistent improvements over comparable systems (such as e.g. Snowball or TextToOnto).",
author = "Suchanek, \{Fabian M.\} and Georgiana Ifrim and Gerhard Weikum",
note = "Publisher Copyright: {\textcopyright}2006 Association for Computational Linguistics; 2nd Workshop on Ontology Learning and Population: Bridging the Gap between Text and Knowledge COLING-ACL 2006 ; Conference date: 22-07-2006",
year = "2006",
month = jan,
day = "1",
language = "English",
series = "2nd Workshop on Ontology Learning and Population: Bridging the Gap between Text and Knowledge COLING-ACL 2006 - Proceedings",
publisher = "Association for Computational Linguistics (ACL)",
pages = "18--25",
editor = "Paul Buitelaar and Philipp Cimiano and Berenike Loos",
booktitle = "2nd Workshop on Ontology Learning and Population",
}