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Feature-Frequency–Adaptive On-line Training for Fast and Accurate Natural Language Processing
Fast Accurate NaturalLanguage Processing
2015/9/14
Training speed and accuracy are two major concerns of large-scale natural language processing systems. Typically, we need to make a tradeoff between speed and accuracy. It is trivial to improve the tr...
Spotting and Discovering Terms through Natural Language Processing
Spotting Discovering Terms Natural Language Processing
2015/8/27
Christian Jacquemin’s book Spotting and Discovering Terms through Natural Language Processing is a much needed and most welcome addition to the field of computational terminology. The central issue of...
Natural Language Processing and Knowledge Representation:Language for Knowledge and Knowledge for Language
Natural Language Processing Knowledge Representation:Language for Knowledge Knowledge for Language
2015/8/26
The strong connection between knowledge representation and reasoning and natural language is the main theme of this book. The book is divided into two parts.Part I, consisting of five original or upda...
Foundations of Statistical Natural Language Processing
Natural Language Processing Foundations
2015/8/25
In 1993, Eugene Charniak published a slim volume entitledStatistical Language Learning.
At the time, empirical techniques for natural language processing were on the rise;
that year, Computational L...
Speech and Language Processing:An Introduction to Natural Language Processing,Computational Linguistics,and Speech Recognition
Speech and Language Processing Introduction to Natural Language Processing Computational Linguistics Speech Recognition
2015/8/25
Jurafsky and Martin’s long-awaited text sets a new gold standard that will be difficult to surpass, as attested by the flurry of glowing reviews that accompanied its publication early this year.1 In a...
Applications of Finite-State Transducers in Natural-Language Processing
Finite-State Transducers Natural-Language Processing
2015/6/18
This pap er is a review of some of the ma jor applications of nite-state transducers in natural-language pro cessing ranging from morphological analysis to nite-state parsing. The analysis and gener...
The Stanford CoreNLP Natural Language Processing Toolkit
Stanford CoreNLP Natural Language Processing Toolkit
2015/6/12
We describe the design and use of the Stanford CoreNLP toolkit, an extensible pipeline that provides core natural language analysis. This toolkit is quite widely used, both in the research NLP communi...
Transformation—Based Error—Driv en Learning and Natural Language Processing:A Case Study in Part of Speech Tagging
Transformation—Based Error—Driven Learning Natural Language Processing Part of Speech Tagging
2015/1/27
Recently there has been a rebirth of empiricism in the eld of natural language processing Manual encoding of linguistic information is being chal lenged by automated corpusbased learning as a method ...