Defining and Classifying Space Builders for Information Extraction

Barbara Gawronska, Björn Erlendsson, Niklas Torstensson

Abstract

The paper addresses the question of Information Extraction aimed at multilingual text generation, or text re-writing. This method provides an alternative to traditional Machine Translation, but is also related to text summarization. Given a source text, a re-writing system selects and structures the textual information in order to generate a “content report”. The present approach is inspired by recent IE-research, classical speech act theory, and Cognitive Semantics, especially the Theory of Mental Spaces and employed in an experimental system for understanding of news reports. The authors focus on the problem of identification and interpretation of ‘space builders’, i.e. linguistic signals for establishing mental spaces.

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Paper Citation


in Harvard Style

Gawronska B., Erlendsson B. and Torstensson N. (2004). Defining and Classifying Space Builders for Information Extraction . In Proceedings of the 1st International Workshop on Natural Language Understanding and Cognitive Science - Volume 1: NLUCS, (ICEIS 2004) ISBN 972-8865-05-8, pages 15-28. DOI: 10.5220/0002667500150028


in Bibtex Style

@conference{nlucs04,
author={Barbara Gawronska and Björn Erlendsson and Niklas Torstensson},
title={Defining and Classifying Space Builders for Information Extraction},
booktitle={Proceedings of the 1st International Workshop on Natural Language Understanding and Cognitive Science - Volume 1: NLUCS, (ICEIS 2004)},
year={2004},
pages={15-28},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002667500150028},
isbn={972-8865-05-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Workshop on Natural Language Understanding and Cognitive Science - Volume 1: NLUCS, (ICEIS 2004)
TI - Defining and Classifying Space Builders for Information Extraction
SN - 972-8865-05-8
AU - Gawronska B.
AU - Erlendsson B.
AU - Torstensson N.
PY - 2004
SP - 15
EP - 28
DO - 10.5220/0002667500150028