Structure Discovery in Natural Language

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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.