This book, proposing a new approach, details a framework for designing a "question-answering system" that can answer questions from a corporate database. The author begins by summarizing the history of such systems, noting the field's early focus on natural language understanding and the limitations of these early efforts. The author then presents their own approach, which emphasizes knowledge-based techniques and the use of a powerful data model. The author concludes with a discussion of the broader implications of their work, arguing that question-answering systems can play a major role in improving decision-making within organizations.
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Excerpt from Control Structure for a Question-Ansering System
The analysis procedure was based on simple syntactic considerations, however, and was not very effective. Further, the system was incapable of deduction and could not. Therefore. Consolidate the information contained in a number of sentences.
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Excerpt from Control Structure for a Question-Ansering System
Despite my best efforts at explanation, my grandmother still thinks of the computer as a machine that answers questions. To her, this is a manifestation of intelligence far more powerful than doing "sums"; for while everybody answers questions, few can do sums! It is not surprising to me, therefore, that question-answering systems have as long a history in artificial intelligence as problem solving.
This paper describes the design of a proposed question-answering system that will answer questions from a corporate data base. We will discuss the rationale behind the proposed system and the design decisions that follow from the initial assumptions. Further, we will discuss the question-answering strategies developed for this system and the basic principles underlying them.
Early Question-Answering Systems
McCarthy (1) seems to have been the first to realize the importance of verbal learning and reasoning.
About the Publisher
Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
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Paperback. Condición: New. Print on Demand. This book, proposing a new approach, details a framework for designing a "question-answering system" that can answer questions from a corporate database. The author begins by summarizing the history of such systems, noting the field's early focus on natural language understanding and the limitations of these early efforts. The author then presents their own approach, which emphasizes knowledge-based techniques and the use of a powerful data model. The author concludes with a discussion of the broader implications of their work, arguing that question-answering systems can play a major role in improving decision-making within organizations. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Nº de ref. del artículo: 9781332245215_0
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: LW-9781332245215
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