Natural Language Processing for Online Applications: Text Retrieval, Extraction, and Categorization (Natural Language Processing, 5) Review

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Natural Language Processing for Online Applications: Text Retrieval, Extraction, and Categorization (Natural Language Processing, 5) ReviewWork on Natural Language processing has been going on for at least
thirty years. In the past most natural language processing (NLP)
applications where mainly in the research realm. The rapid
increase in computer processing power and disk storage capacity
have moved NLP from research into the area of applied science.
This gives NLP the feel of a new and vibrant area. Progress is
being made rapidly, but the research literature can be difficult
for someone who has no experience with NLP. Simply learning the
terminology can be time consuming.
This book by Jackson and Moulinier provides an excellent overview
of several sub-areas of NLP applied to natural language text.
Both Jackson and Moulinier have been involved in implementing
NLP applications in a commercial context, so there is a
some concentration on applying NLP in real applications, rather
than artificial contexts like the Message Understand Conference
data set.
I purchased this book for its coverage of Information Extraction.
Along with this book I read a number of papers from the research
literature. One paper I found particularly interesting was
a paper on the FASTUS NLP system developed by researchers at
SRI. I was very happy to see that FASTUS and finite automata
approaches were covered in more detail in this book.
For my purposes I would have liked a book that moved from
an overview of various NLP applications to more implementation
detail. For example, while I think that I understand
push down automata from working on parsers for compilers,
I don't fully understand them in the NLP context. This book
did not go into enough detail to make this clear.
I cannot really offer this lack of detail as a criticism
since I don't believe that it was the authors intention to
provide this level of detail. Their objective is to provide
a detailed overview and I think that they succeeded in doing
this. A book that provided this overview with
details on implementation would be much longer, perhaps the
size of Manning and Schutze's excellent book "Foundations of
Natural Language Processing" (Manning and Schutze provide
a great deal of detail, but they do not cover information
extraction).Natural Language Processing for Online Applications: Text Retrieval, Extraction, and Categorization (Natural Language Processing, 5) Overview

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