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Nils Reimers
Nils Reimers committed Jul 11, 2017
1 parent d6c6b02 commit 2ced10abdcc2cee233a0fce4637e840af7aa3e1b
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  1. +1 −1 2017-07_Seminar/docker/Readme.md
  2. +10 −0 README.md
@@ -7,7 +7,7 @@ This folder contains a dockerfile that installs a Python 3.6, Keras 2.0.5 and Te

Build the docker container:
```
docker build . -t dl4nlp
docker build ./docker/dockerfile -t dl4nlp
```


@@ -3,6 +3,16 @@ Hands-on tutorial on deep learning with a special focus on Natural Language Proc

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 - July 2017
In July 2017 I updated the slides to the most recent Python and Keras version. The slides as well as the source code is available in the folder **[2017-07_Seminar](2017-07_Seminar/)**. The code in the folder can be run with either Python 2.7 or Python 3.6, with Keras 2.0.5 and with Theano (0.9.0) or TensorFlow (1.2.1) as backend.

Four different deep learning models for NLP are covered in the folder:
1. Feed Forward Architecture for Sequence Classification (e.g. POS, NER, Chunking)
2. Convolutional Neural Network for Sentence / Text Classification (e.g. sentiment classification)
3. Convolutional Neural Network for Relation Extraction (e.g. semantic relation extration)
4. Long-Short-Term-Memory (LSTM)-Networks for Sequence Classificaiton


# 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](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:

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