Building Natural Language Generation Systems (Studies in Natural Language Processing)

Building Natural Language Generation Sys

📁 Building Natural Language Generation Systems

✍ Ehud Reiter, Robert Dale 📂 Library 📅 2000 🏛 Cambridge University Press 🌐 English

This book explains how to build Natural Language Generation (NLG) systems--computer software systems that automatically generate understandable texts in English or other human languages. NLG systems use knowledge about language and the application domain to automatically produce documents, reports,

Building natural language generation sys

📁 Building natural language generation systems

✍ Reiter E., Dale R. 📂 Library 📅 2000 🏛 CUP 🌐 English

This book explains how to build Natural Language Generation (NLG) systems--computer software systems that automatically generate understandable texts in English or other human languages. NLG systems use knowledge about language and the application domain to automatically produce documents, reports,

Building natural language generation sys

📁 Building natural language generation systems

✍ Ehud Reiter, Robert Dale 📂 Library 📅 2000 🏛 Cambridge University Press 🌐 English

Summary: Reiter and Dale provide a useful introduction to NLG. <p>Review: This book is probably the first of its kind. Although there has been considerable work in natural language summarization, research in producing natural language is in its infancy. The authors draw upon actual NLG systems to

Text Generation (Studies in Natural Lang

📁 Text Generation (Studies in Natural Language Processing)

✍ Kathleen McKeown 📂 Library 📅 1992 🌐 English

This book is concerned with the machine-based generation of natural language text and presents a formal analysis of problems, which in the main have previously only been approached descriptively. In the process of producing discourse, speakers and writers must decide what it is that they want to say

Text Generation (Studies in Natural Lang

📁 Text Generation (Studies in Natural Language Processing)

✍ Kathleen McKeown 📂 Library 📅 1992 🏛 CUP 🌐 English

Challenges in Natural Language Processin

📁 Challenges in Natural Language Processing (Studies in Natural Language Processing)

✍ Madeleine Bates (editor), Ralph M. Weischedel (editor) 📂 Library 📅 2006 🏛 Cambridge University Press 🌐 English

Though natural language processing has come far in the past twenty years, the technology has not achieved a major impact on society. Is this because of some fundamental limitation that cannot be overcome? Or because there has not been enough time to refine and apply theoretical work already done?