The book explores the limitations of current language technology, highlighting the reliance on extensive rule enumeration and manually labeled data, both of which are labor-intensive and costly. It argues that these challenges hinder the advancement of automated natural language understanding in practical applications, suggesting a need for more efficient methodologies to bridge the gap between theory and real-world use.
20th International Conference on Applications of Natural Language to Information Systems, NLDB 2015, Passau, Germany, June 17-19, 2015, Proceedings
This book constitutes the refereed proceedings of the 20th International Conference on Applications of Natural Language to Information Systems, NLDB 2015, held in Passau, Germany, in June 2015. The 18 full papers, 15 short papers, 14 poster and demonstration papers presented were carefully reviewed and selected from 100 submissions. The papers cover the following topics: information extraction, distributional semantics, querying and question answering systems, context-aware NLP, cognitive and semantic computing, sentiment and opinion analysis, information extraction and social media, NLP and usability, text classification and extraction, and posters and demonstrations.
Eine Einführung in das Text Mining
Der größte Teil des Weltwissens ist in digital verfügbaren Texten beschrieben. Diese Texte stellen einen bedeutsamen Wissensrohstoff dar, doch wie kann dieses Wissen extrahiert werden? Lernen Sie in dieser aktualisierten und erweiterten Neuauflage des ersten deutschen Lehrbuches zu diesem Thema, wie digitaler Text mit Hilfe von Text Mining aufbereitet, verarbeitet und in Anwendungen genutzt werden kann.