Recom Day 2019
7 November, TLV

Hands on workshop

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About event

NLP Day is a hands-on event, focused on practical battle-tested frameworks, from professional mentors who practice natural-language-processing for a living. Participants will bring their own laptop, and tackle common NLP tasks together. Our workshops assume you already know python and basic machine learning, and will guide you through the wonderful world of practical NLP.

Note: Knowledge of Python and basic machine learning is required.

Our Speakers & Mentors

Meet our team of natural language experts

Omri Allouche

Head of Research

Uri Goren

Recommendation Expert


Moshe Hazoom

NLP Engineer

Amenity Analytics

Dana Averbuch

Data Scientist


Tal Baumel

Sr. Researcher


Karin Brisker

ML Researcher

biuNLP Lab

Ohad Bruker

Data Scientist


Shay Palachy

Data Scientist

Ofir Naor

DS Team Lead

Amenity Analytics

Hila Zohar

NLP Algorithm Engineer


Ronit Feldman

Data Scientist

Gad Markovits

Data Scientist



  • 8:30 - 9:00

    Welcome & Registration

    Register, get swag, grab some coffee and snacks and do some mingling.

  • 9:00 - 11:00

    Text Classification: From Zero to Hero

    Recent years have seen a major jump in state-of-the-art results on various NLP tasks, with the introduction of powerful transformer-based deep neural networks trained on huge corpora. But when attempting to build a text classifier for our own custom domain, what does it all mean for us? In this workshop, I’ll walk you through building an effective text classifier using only a handful of labeled data points. We’ll label data using active learning and guided search, evaluate the performance of our model and our labels, use weak learners and data programming with the Snorkel package and employ state-of-the-art models (e.g. BERT) to our own data. We’ll discuss common pitfalls and eventually obtain a working, high quality text classifier in a matter of hours.

  • 11:00 - 13:00

    Sequence Labeling with Deep Learning

    Deep learning methods have revolutionized the NLP field, breaking state-of-the-art benchmarks in classification, named-entity recognition and translation. The dark-side of deep learning, is the vast amount of labeled data required to train a model. This workshop would focus on classification and named-entity-recognition (NER) with deep learning methods on data that’s freely available on the internet. We would demonstrate training your-own classifier from scratch, and automatic formatting of text with sequence labeling techniques.

  • 13:00 - 14:00

    Lunch Break

    Bon Apetit!

  • 14:00 - 16:00

    Extracting Insights From Text Using Spacy's Pipeline

    spaCy had become the standard go-to library when practicing NLP, with lightning fast pre-trained models, and an extendable interface. In this workshop, we will demonstrate how we can take advantage of spaCy’s pipeline (specifically Named Entity Recognition and Dependency Parsing) capabilities to identify newly released products from internet data.


The price includes access to all data and material provided in the workshops, as well as food, coffee and snacks

Early bird


Offer Ends September 29th

Sold out

Regular ticket


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How to get here

By car By walk

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