Natural language processing and information systems

Autor*innen

• Christian Kop

Parameter

• 227 Seiten
• 8 Lesestunden

• Lehrbücher
• Universitätslehrbücher

Mehr zum Buch

This work explores various methodologies and applications in the fields of information retrieval, natural language processing, and ontology development. It discusses an automated multi-component approach for extracting entity relationships from database requirement specifications and presents a function point extraction method tailored for goal and scenario-based requirements. The text delves into unsupervised keyphrase extraction for enhancing search ontologies and studies the evolution of knowledge branches through ontology construction and analysis. Additionally, it examines the utilization of ontologies and task repositories, including a document space adapted ontology for query enrichment. The implications of folksonomies on user classification are analyzed, along with the development of a task repository for ambient intelligence applications. The work addresses query processing techniques, including formulating queries for clinical trial eligibility and a multilingual web querying approach based on parametric linguistics. Further, it investigates the use of semantic knowledge to enhance web query processing and improve question answering through semantic constraints. The text also presents an abstract model of man-machine interaction informed by natural language dialogue processing concepts. Other topics include language identification in multilingual documents, the DILUCT open-source Spanish dependency parser, and tec

• Sprache: Englisch
• Erscheinungsdatum: 2006
• Einband: Paperback