Ebook: Natural Language Information Retrieval

The last decade has been one of dramatic progress in the field of Natural Language Processing (NLP). This hitherto largely academic discipline has found itself at the center of an information revolution ushered in by the Internet age, as demand for human-computer communication and informa­ tion access has exploded. Emerging applications in computer-assisted infor­ mation production and dissemination, automated understanding of news, understanding of spoken language, and processing of foreign languages have given impetus to research that resulted in a new generation of robust tools, systems, and commercial products. Well-positioned government research funding, particularly in the U. S. , has helped to advance the state-of-the­ art at an unprecedented pace, in no small measure thanks to the rigorous 1 evaluations. This volume focuses on the use of Natural Language Processing in In­ formation Retrieval (IR), an area of science and technology that deals with cataloging, categorization, classification, and search of large amounts of information, particularly in textual form. An outcome of an information retrieval process is usually a set of documents containing information on a given topic, and may consist of newspaper-like articles, memos, reports of any kind, entire books, as well as annotated image and sound files. Since we assume that the information is primarily encoded as text, IR is also a natural language processing problem: in order to decide if a document is relevant to a given information need, one needs to be able to understand its content.

---

The last decade has been one of dramatic progress in the field of Natural Language Processing (NLP). This hitherto largely academic discipline has found itself at the center of an information revolution ushered in by the Internet age, as demand for human-computer communication and information access has exploded. Emerging applications in computer-assisted information production and dissemination, automated understanding of news, understanding of spoken language, and processing of foreign languages have given impetus to research that resulted in a new generation of robust tools, systems, and commercial products.
This volume focuses on the use of Natural Language Processing (NLP) in Information Retrieval, the technology that grew out of library research to become our best hope in dealing with today's information overload. The book gives a broad overview of the work being done at the junction of these two important fields, and suggests directions for future explorations. It is organized into two loosely structured parts: The first part, consisting of Chapters 1 through 7, discusses research systems and evaluations that represent major avenues where the impact of NLP technologies in information retrieval is being explored. The second part (Chapters 8 through 14) describes specific implementations and prototypes of information systems where NLP techniques are used or proposed to assist in accurate retrieval, text categorization, question answering, and in organizing the results for the user.
Audience: This book will be a valuable reference to researchers and practitioners in the fields of Natural Language Processing, Information Retrieval, and Computational Linguistics.

---

The last decade has been one of dramatic progress in the field of Natural Language Processing (NLP). This hitherto largely academic discipline has found itself at the center of an information revolution ushered in by the Internet age, as demand for human-computer communication and information access has exploded. Emerging applications in computer-assisted information production and dissemination, automated understanding of news, understanding of spoken language, and processing of foreign languages have given impetus to research that resulted in a new generation of robust tools, systems, and commercial products.
This volume focuses on the use of Natural Language Processing (NLP) in Information Retrieval, the technology that grew out of library research to become our best hope in dealing with today's information overload. The book gives a broad overview of the work being done at the junction of these two important fields, and suggests directions for future explorations. It is organized into two loosely structured parts: The first part, consisting of Chapters 1 through 7, discusses research systems and evaluations that represent major avenues where the impact of NLP technologies in information retrieval is being explored. The second part (Chapters 8 through 14) describes specific implementations and prototypes of information systems where NLP techniques are used or proposed to assist in accurate retrieval, text categorization, question answering, and in organizing the results for the user.
Audience: This book will be a valuable reference to researchers and practitioners in the fields of Natural Language Processing, Information Retrieval, and Computational Linguistics.
Content:
Front Matter....Pages i-xxv
What is the Role of NLP in Text Retrieval?....Pages 1-24
NLP for Term Variant Extraction: Synergy Between Morphology, Lexicon, and Syntax....Pages 25-74
Combining Corpus Linguistics and Human Memory Models for Automatic Term Association....Pages 75-98
Using NLP or NLP Resources for Information Retrieval Tasks....Pages 99-111
Evaluating Natural Language Processing Techniques in Information Retrieval....Pages 113-145
Stylistic Experiments in Information Retrieval....Pages 147-166
Extraction-Based Text Categorization: Generating Domain-Specific Role Relationships Automatically....Pages 167-196
LaSIE Jumps the GATE....Pages 197-214
Phrasal Terms in Real-World IR Applications....Pages 215-259
Name Recognition and Retrieval Performance....Pages 261-272
COLLAGE: An NLP Toolset to Support Boolean Retrieval....Pages 273-287
Document Classification and Routing....Pages 289-310
Murax: Finding and Organizing Answers from Text Search....Pages 311-332
The Use of Categories and Clusters for Organizing Retrieval Results....Pages 333-374
Back Matter....Pages 375-385

---

The last decade has been one of dramatic progress in the field of Natural Language Processing (NLP). This hitherto largely academic discipline has found itself at the center of an information revolution ushered in by the Internet age, as demand for human-computer communication and information access has exploded. Emerging applications in computer-assisted information production and dissemination, automated understanding of news, understanding of spoken language, and processing of foreign languages have given impetus to research that resulted in a new generation of robust tools, systems, and commercial products.
This volume focuses on the use of Natural Language Processing (NLP) in Information Retrieval, the technology that grew out of library research to become our best hope in dealing with today's information overload. The book gives a broad overview of the work being done at the junction of these two important fields, and suggests directions for future explorations. It is organized into two loosely structured parts: The first part, consisting of Chapters 1 through 7, discusses research systems and evaluations that represent major avenues where the impact of NLP technologies in information retrieval is being explored. The second part (Chapters 8 through 14) describes specific implementations and prototypes of information systems where NLP techniques are used or proposed to assist in accurate retrieval, text categorization, question answering, and in organizing the results for the user.
Audience: This book will be a valuable reference to researchers and practitioners in the fields of Natural Language Processing, Information Retrieval, and Computational Linguistics.
Content:
Front Matter....Pages i-xxv
What is the Role of NLP in Text Retrieval?....Pages 1-24
NLP for Term Variant Extraction: Synergy Between Morphology, Lexicon, and Syntax....Pages 25-74
Combining Corpus Linguistics and Human Memory Models for Automatic Term Association....Pages 75-98
Using NLP or NLP Resources for Information Retrieval Tasks....Pages 99-111
Evaluating Natural Language Processing Techniques in Information Retrieval....Pages 113-145
Stylistic Experiments in Information Retrieval....Pages 147-166
Extraction-Based Text Categorization: Generating Domain-Specific Role Relationships Automatically....Pages 167-196
LaSIE Jumps the GATE....Pages 197-214
Phrasal Terms in Real-World IR Applications....Pages 215-259
Name Recognition and Retrieval Performance....Pages 261-272
COLLAGE: An NLP Toolset to Support Boolean Retrieval....Pages 273-287
Document Classification and Routing....Pages 289-310
Murax: Finding and Organizing Answers from Text Search....Pages 311-332
The Use of Categories and Clusters for Organizing Retrieval Results....Pages 333-374
Back Matter....Pages 375-385
....