Structure Discovery in Natural Language

• Main Author: Biemann, Chris (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
• Series: Theory and Applications of Natural Language Processing
• Subjects: Computer science.; Artificial intelligence.; Graph theory.; Computational linguistics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Computational Linguistics.; Graph Theory.

Current language technology is dominated by approaches that either enumerate a large set of rules, or are focused on a large amount of manually labelled data. The creation of both is time-consuming and expensive, which is commonly thought to be the reason why automated natural language understanding...

Table of Contents:

• Foreword by Antal van den Bosch
• 1.Introduction
• 2.Graph Models
• 3.SmallWorlds of Natural Language
• 4.Graph Clustering
• 5.Unsupervised Language Separation
• 6.Unsupervised Part-of-Speech Tagging
• 7.Word Sense Induction and Disambiguation
• 8.Conclusion
• References .