
Natural Language Information Retrieval by T Strzalkowski
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.-
Genres on the Web
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Trends in Parsing Technology
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Affective Computing and Sentiment Analysis
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Syntactic Wordclass Tagging
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Syntax-Based Collocation Extraction
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Inductive Dependency Parsing
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Advances in Generative Lexicon Theory
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Linguistic Modeling of Information and Markup Languages
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Spoken Multimodal Human-Computer Dialogue in Mobile Environments
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New Developments in Parsing Technology
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Syntax and Semantics of Prepositions
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Advances in Probabilistic and Other Parsing Technologies
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Language Production, Cognition, and the Lexicon
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Corpus-Based Methods in Language and Speech Processing
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Lexicon Development for Speech and Language Processing
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Parallel Text Processing
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Natural Language Processing Using Very Large Corpora
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Breadth and Depth of Semantic Lexicons
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Prosody: Theory and Experiment
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Predicative Forms in Natural Language and in Lexical Knowledge Bases
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Time Map Phonology
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Robustness in Language and Speech Technology
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Exploring Textual Data
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Multimodality in Language and Speech Systems
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Computing Meaning
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Word Sense Disambiguation
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Arabic Computational Morphology
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Intonation
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Recent Trends in Discourse and Dialogue
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Chinese Language Resources
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Advances in Natural Multimodal Dialogue Systems
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Contributions to the Science of Text and Language
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An Introduction to Text-to-Speech Synthesis
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Recent Advances in Parsing Technology
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Treebanks
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Current and New Directions in Discourse and Dialogue
| SKU | Unavailable |
| ISBN 13 | 9789048152094 |
| ISBN 10 | 9048152097 |
| Title | Natural Language Information Retrieval |
| Author | T Strzalkowski |
| Series | Text Speech And Language Technology |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer |
| Year published | 2010-12-04 |
| Number of pages | 384 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |



































