The Stanford Natural Language Processing Group is a research group at Stanford University focused on developing algorithms and tools for understanding human language. The site serves as a hub for their research, offering access to a wide range of NLP tools, datasets, and publications.
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A suite of core NLP tools providing linguistic annotations for text, including tokenization, part-of-speech tagging, named entity recognition, and more.
A natural language parser that provides syntactic analysis of sentences, useful for understanding sentence structure.
Identifies named entities in text, such as names of people, organizations, and locations.
Analyzes the sentiment of text, determining whether the expressed opinion is positive, negative, or neutral.
Extracts open-domain information from text, identifying relationships between entities.
A state-of-the-art dependency parser that uses neural networks for parsing sentences.
A tool for discovering abstract topics within a collection of documents.
Segments text into words, particularly useful for languages without clear word boundaries.
Identifies and normalizes temporal expressions in text.
Extracts relationships between entities mentioned in text.
Access to a wide range of research papers and articles published by the Stanford NLP Group.
Offers courses, tutorials, and other educational materials related to natural language processing and computational linguistics.
Encourages collaboration among researchers and developers in the field of NLP, with forums and mailing lists for discussion.
Provides downloadable versions of their NLP tools for use in academic and commercial projects.
Most tools are available under the GNU General Public License, allowing for wide usage and modification.
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