Schriftenreihe der Österreichischen Gesellschaft für Artificial Intelligence (ÖGAI)
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5
This paper attempts a new look at computer assisted transcription as it is commonly practised within the fields of discourse analysis and language acquisition studies. The first part proposes a bridge between discourse analytical methodology and text technological methods with the concept of modelling as its central idea. The second part demonstrates the EXMARaLDA system, a set of formats and tools for computer assisted transcription that builds on the ideas developed in the first part and implements them in a way that can lead to significant improvement in current research practice.
Band 5
In this paper, we examine methods to automatically extract domain-specific knowledge from the food domain from unlabeled natural language text. We employ different extraction methods ranging from surface patterns to co-occurrence measures applied on different parts of a document. We show that the effectiveness of a particular method depends very much on the relation type considered and that there is no single method that works equally well for every relation type. We also examine a combination of extraction methods and also consider relationships between different relation types. The extraction methods are applied both on a domain-specific corpus and the domain-independent factual knowledge base Wikipedia. Moreover, we examine an open-domain lexical ontology for suitability.