19 packages tagged with “stanford”
Stanford CoreNLP provides a set of natural language analysis tools which can take raw English language text input and give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize dates, times, and numeric quantities, and mark up the structure of sentences in terms of phrases and word dependencies, and indicate which noun phrases refer to the same entities. Stanford CoreNLP is an integrated framework, which make it very easy to apply a bunch of language analysis tools to a piece of text. Starting from plain text, you can run all the tools on it with just two lines of code. Its analyses provide the foundational building blocks for higher-level and domain-specific text understanding applications.
Stanford NER (also known as CRFClassifier) is a Java implementation of a Named Entity Recognizer. Named Entity Recognition (NER) labels sequences of words in a text which are the names of things, such as person and company names, or gene and protein names. The software provides a general (arbitrary order) implementation of linear chain Conditional Random Field (CRF) sequence models, coupled with well-engineered feature extractors for Named Entity Recognition.
A Part-Of-Speech Tagger (POS Tagger) is a piece of software that reads text in some language and assigns parts of speech to each word (and other token), such as noun, verb, adjective, etc., although generally computational applications use more fine-grained POS tags like 'noun-plural'.
A natural language parser is a program that works out the grammatical structure of sentences, for instance, which groups of words go together (as \"phrases\") and which words are the subject or object of a verb. Probabilistic parsers use knowledge of language gained from hand-parsed sentences to try to produce the most likely analysis of new sentences.
Resource package that contains named-entity recognition for SimpleNetNlp project (simple C# wrapper for Stanford CoreNLP).
Tokenization of raw text is a standard pre-processing step for many NLP tasks. For English, tokenization usually involves punctuation splitting and separation of some affixes like possessives. Other languages require more extensive token pre-processing, which is usually called segmentation.
Resource package that contains sentiment analysis model for SimpleNetNlp project (simple C# wrapper for Stanford CoreNLP).
Resource package that contains pos tagger for SimpleNetNlp project (simple C# wrapper for Stanford CoreNLP).
Resource package that contains parser for SimpleNetNlp project (simple C# wrapper for Stanford CoreNLP).
F# extensions for Stanford.NLP.Parser
Resource package that contains Open IE model for SimpleNetNlp project (simple C# wrapper for Stanford CoreNLP).
Resource package that contains lexicalized parser for SimpleNetNlp project (simple C# wrapper for Stanford CoreNLP).
Stanford-password-policy-dotnet is a password validator library for ASP.NET Core. The Stanford password policy is a dynamic password policy that encourages the use of easy to remember, yet secure passphrases instead of hard to remember passwords.
Simple C# wrapper for Stanford CoreNLP (see README for details).
Resource package that contains coreference resolution model for SimpleNetNlp project (simple C# wrapper for Stanford CoreNLP).
Typescript definitions files for Stanford Javascript Crypto Library
Resource package that contains KBP model for SimpleNetNlp project (simple C# wrapper for Stanford CoreNLP).
F# Type Provider for Stanford NLP TokensRegex - http://nlp.stanford.edu/software/tokensregex.html
Resource package that contains deterministic coreference resolution model for SimpleNetNlp project (simple C# wrapper for Stanford CoreNLP).