SALTS Natural Language Processing (NLP) resources are open to anyone who is interested. New user registration through the web is currently closed. To participate, please contact us at salts-admin [at] rutgers.edu, and we will be happy to add you.
•LDC Corpora: We are a Linguistic Data Consortium (LDC) member for the following years: 1993-1996, 1999-2001, 2006, 2009-2010. Please check this page for information on the LDC corpora that we have available, and download instruction (for Rutgers Univ only).
•Tools: Check here for information about what you can use to pre-process digital texts before you feed them to NLP software such as Natural Language Toolkit (NLTK). (Regular expression, text batch processing, etc. on your desktop)
Response-Centered Argument Mining
•Annotated and original blogs (Expert Annotators and Turkers). [Download Version 1.01 (Last update: July 10, 2014)]
•Natural language Processing: CS 533 https://www.cs.rutgers.edu/graduate/courses/533/. Course expected to be offered annually.
•Argumentation Analysis and NLP: Some lessons in developing methods for novel research. (PhD 601 Pro-seminar Presentation, Mark Aakhus, Nina Wacholder and Debanjan Ghosh.)
•Opportunities for NLP and corpus-related research at SC&I. (SC&I Day at CS 533, April 15, 2015; Nina Wacholder and Debanjan Ghosh.)
SC&I Day at CS 533, April 15, 2015. Opportunities for NLP and corpus-related research at SC&I. Presented by Nina Wacholder and Debanjan Ghosh.