Stanford CoreNLP provides a set of natural language analysis tools. It can 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, indicate which noun phrases refer to the same entities, indicate sentiment, extract open-class relations between mentions, etc.
Closures - Comparing the core of BGGA, CICE and FCM
In this blog I'm going to compare the core of the three principle 'closure' proposals. This is particularly apt following the recent surge in interest after Josh Bloch's Javapolis talk.
M. Schwab, R. Jäschke, and F. Fischer. Proceedings of the 6th International Conference on Natural Language and Speech Processing, page 99--109. Association for Computational Linguistics, (2023)