TY - BOOK AU - Konrad,Karsten ED - SpringerLink (Online service) TI - Model Generation for Natural Language Interpretation and Analysis T2 - Lecture Notes in Computer Science, SN - 9783540246404 AV - Q334-342 U1 - 006.3 23 PY - 2004/// CY - Berlin, Heidelberg PB - Springer Berlin Heidelberg KW - Computer science KW - Artificial intelligence KW - Text processing (Computer science KW - Translators (Computer programs) KW - Computer Science KW - Artificial Intelligence (incl. Robotics) KW - Computer Science, general KW - Mathematical Logic and Formal Languages KW - Document Preparation and Text Processing KW - Language Translation and Linguistics N1 - 1 Motivation -- 1 Motivation -- I Logics -- 2 Model Generation -- 3 Higher-Order Model Generation -- 4 Minimal Model Generation -- II Linguistics -- 5 The Analysis of Definites -- 6 Reciprocity -- 7 Abduction -- 8 Implementation -- 9 Conclusion -- A Some Example Problems -- References and Index N2 - Mathematical theorem proving has undergone an impressive development during the last two decades, resulting in a variety of powerful systems for applications in mathematical deduction and knowledge processing. Natural language processing has become a topic of outstanding relevance in information technology, mainly due to the explosive growth of the Web, where by far the largest part of information is encoded in natural language documents. This monograph focuses on the development of inference tools tailored to applications in natural language processing by demonstrating how the model generation paradigm can be used as a framework for the support of specific tasks in natural language interpretation and natural language based inference in a natural way. The book appears at a pivotal moment, when much attention is being paid to the task of adding a semantic layer to the Web, and representation and processing of natural language based semantic information pops up as a primary requirement for further technological progress UR - http://dx.doi.org/10.1007/b95744 ER -