Deep Learning for NLP - Tutorial
Hands-on tutorial on deep learning with a special focus on Natural Language Processing (NLP).
This GIT repository accompanies the UKP lectures and seminars on Deep Learning for Natural Language Processing. In contrast to other tutorials, this tutorial focuses on the usage of deep learning methods.
Deep Learning for NLP - Seminar - Nov. 2016
In November 2016 I gave a seminar at the University of Duisburg-Essen. The slides as well as the source code is available in the folder 2016-11_Seminar. In the seminar I use Python 2.7, Theano 0.8.2, and Keras 1.1.1 to model four different deep learning models for NLP:
- Feed Forward Architecture for Sequence Classification (e.g. POS, NER, Chunking)
- Convolutional Neural Network for Sentence / Text Classification (e.g. sentiment classification)
- Convolutional Neural Network for Relation Extraction (e.g. semantic relation extration)
- Long-Short-Term-Memory (LSTM)-Networks for Sequence Classificaiton
Deep Learning for NLP - Lecture - Oct. 2015
In October 2015 I gave a lecture for the UKP Department at the Technical University of Darmstadt. The lecture is structured in six parts and covers the basics about deep learning. In the lecture I use Python 2.7, Theano 0.6.0 and Keras 0.3.0 to model different applications of deep learning for NLP. The slides, the source code, and video recordings are available in the folder 2015-10_Lecture.
Contact
Contact person: Nils Reimers, reimers@ukp.informatik.tu-darmstadt.de
http://www.ukp.tu-darmstadt.de/
Don't hesitate to send us an e-mail or report an issue, if something is broken (and it shouldn't be) or if you have further questions.
This repository contains experimental software and is published for the sole purpose of supporting the lectures.