Members of the Stanford NLP Group pursue research in a broad
variety of topics:
Extraction of structured information from unstructured text.
This includes identifying named entities, resolving anaphora, linking
them to a global namespace, and identifying relations between the entities.
Sentiment and Social Meaning
We are interested the extraction of sentiment and other kinds of social meaning, including politeness, bias, friendliness, and flirtation, from speech and text.
Deep Learning in Natural Language Processing
Parsing & Tagging
Language modeling, re-ordering models, phrase extraction
techniques, syntactic methods, and better training for
statistical machine translation:
Dialog and Speech Processing
NLP applied to diffusion of ideas and the history of science
Unsupervised and Semisupervised Learning of Linguistic Structure
A variety of NLP investigations in Chinese, Arabic, and
German, including tagging, segmentation, probabilistic
syntactic parsing, and semantic role parsing, as well as work on speech processing. Research
Linguistics @ Stanford
Other groups at Stanford doing NLP-related research:
Semantics Lab at CSLI
project at CSLI
Statistical NLP resources