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This book is an extended description of a knowledge representation formalism, mul-tilayered extended semantic networks (or MultiNets), used by the author and his colleagues for the semantic representation of natural language. The level of detail means that this is not an easy or introductory read; the book will be most useful for other researchers engaged(More)
Semantic Networks (SN) have been used in many applications , especially in the eld of natural language understanding (NLU). The multilayered extended semantic network MESNET presented in this paper on the one hand follows the tradition of SN starting with the work of Quillian 13]. On the other hand, MESNET for the rst time consequently and explicitly makes(More)
We present an overview of a large combined querying and retrieval system that performs content-based on-line searches in a large database of multimedia documents (currently text, tables and colour images). Queries are submitted as complex sentences in natural language. They are transformed into the language of the target database using world and(More)
The paper describes two methods for realizing a user-friendly access to distributed information resources. The rst method (Method I) is based on a form-driven dialogue, which is used in the project named "MEDOC". It aims at an experienced user who is familiar with attribute value structures of the data base schemes of typical information retrieval systems(More)
This report describes the DeLite readability checker which automatically assesses the linguistic accessibility of Web documents. The system computes readability scores for an arbitrary German text and highlights those parts of the text causing difficulties with regard to readability. The highlighting is done at different linguistic levels, beginning with(More)
The proper interpretation of prepositions is an important issue for automatic natural language understanding. We present an approach towards PP interpretation as part of a natural language understanding system which has been successfully employed in various NLP tasks for information retrieval and question answering. Our approach is based on the so-called(More)
LogAnswer is an open domain question answering system which employs an automated theorem prover to infer correct replies to natural language questions. For this purpose LogAnswer operates on a large axiom set in first-order logic, representing a formalized semantic network acquired from extensive textual knowledge bases. While other work in the field of(More)
Checking for readability or simplicity of texts is important for many institutional and individual users. Formulas for approximately measuring text readability have a long tradition. Usually, they exploit surface-oriented indicators like sentence length, word length, word frequency, etc. However, in many cases, this information is not adequate to(More)