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Stanford CoreNLP
Stanford Reference:
12-307
Abstract
FOR ALL LICENSING INQUIRIES PLEASE EMAIL
NLP Licensing
.
Stanford CoreNLP provides a set of natural language analysis tools which take raw English language text input and provide the base forms of words, their parts of speech (i.e. names of companies, people, normalize dates, times, numeric quantities, etc.) and mark up the structure of sentences in terms of phrases and word dependencies, indicating which noun phrases refer to the same entities. Stanford CoreNLP is an integrated framework, making it very easy to apply multiple language analysis tools to a piece of text. Starting from plain text, all the tools can be run simultaneously with just two lines of code.
Stanford CoreNLP Group's
tools:
Parser, 05-230
Name Entity Recognizer (NER), 05-384
Part-of-Speech (POS) Tagger, 08-356
Classifier, 09-165
Word Segmenter, 09-164
Applications
CoreNLP and the accompanied suite of tools are appropriate for any application requiring human language technology or natural language processing tools necessary to manage human language text (i.e. text mining, business intelligence, web search, sentiment analysis, natural language understanding, etc.).
Advantages
CoreNLP is designed to be quick, easy, highly flexible and extensible, with single option to enable/disable the various tools.
Innovators & Portfolio
Institutional Work
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Christopher Manning
more technologies from Christopher Manning »
Date Released
10/12/2012 12:00
Licensing Contact
David Mallin, Licensing Manager, Physical Sciences
Request Info
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Related Keywords
spoken language dialog system
PS: software: NLP (natural language processing)
text analytics
text mining
language
human language technology