This list is by no means comprehensive.
Lectures and Course Material
- Jordan Boyd-Graber’s introduction to the Natural Language Processing course
- Natural Language Processing with Dan Jurafsky and Chris Manning, 2012
- Probably all of the courses / resources in the Stanford Natural Language Processing Group
Code
- Peter Norvig’s Statistical NLP
- awesome-nlp: A curated list of resources dedicated to Natural Language Processing
- Caveats in spaCy: A case for overlapping annotations in spacy
- A comparison of TextBlob and spaCy for NLP tasks in German
- NLP with elasticsearch: A demonstration of tokenization with elasticsearch analyzers
- Some of my favourite NLP tools (oldies but goldies).
Conferences
- ACL - Association for Computational Linguistics
- BioNLP, NLP and NLU in the biological and medical domain
- COLING - Conference on Computational Linguistics. This year together with LREC (Language Resources and Evaluation).
- EACL - European Chapter of the ACL
- EMNLP - Empirical Methods in Natural Language Processing
- Workshop on Insights from Negative Results in NLP: this is something everyone working in NLP should check out. Benefit from the insights others drew from negative findings, share yours so that others don’t need to make the same mistake again.