Defining and Classifying Space Builders for Information Extraction

Abstract

The paper addresses the question of Information Extraction aimed at multilingual text generation, or text rewriting. This method provides an alternative to traditional Machine Translation, but is also related to text summarization. Given a source text, a rewriting 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.