Deep Learning for NLP Workshop (DL4NLP)

Abstract:
Natural language processing is an umbrella term for several tasks, common tasks include document-classification, machine translation, and named-entity-recognition.
Deep learning methods had revolutionized the NLP field, breaking state-of-the-art benchmarks in all of these fields.
This workshop would focus on the named-entity-recognition (NER) with deep learning methods.
The workshop is hands-on, meaning that participants are required to bring their own laptop with all the requirements installed.
Python proficiency is assumed, and machine-learning background is a big plus.

Agenda:
17:30-18:00 Mingling and gathering
18:00-18:10 A word from our host (wix): Data science at wix
18:15 - 18:30 Overview of NLP tasks and challenges
18:30 - 18:40 Vector representation of words (Onehot and embeddings)
18:40 - 19:00 Using Neural Nets to label sequences.
19:00 - 19:15 Competition dataset and guidelines
19:15 Competition Start
21:00 Winners announced, and prizes

Dataset and Code:
Please follow these instructions:

0. Have python 3.6 and pip installed, for windows users we also recommend installing `cmder`.
1. Clone : https://github.com/urigoren/nlp_ner_workshop
2. Install dependencies: pip install -r requirements.txt
3. Download zip file and save it to the `data` folder, link:
   https://drive.google.com/open?id=1pWP7nPeopBe9Qf-E1xheN9TLKvITulBx
4. Upload the repo and data to Google Colab