Boston | April 13th – April 17th, 2020

Natural Language Processing Track

Learn the latest models, advancements, and trends from the top practitioners and researchers behind NLP

NLP has seen rapid advances in recent years. With some of the best and brightest minds in data science presenting, get the latest insights, natural language processing training, trends, and discoveries in data science languages, tools, topics – and beyond.

Connect with some of the most innovative people and ideas in the world of data science, while learning first-hand from core practitioners and contributors. Learn about the latest advancements and trends in NLP, including pre-trained models, with use-cases focusing on deep learning, speech-to text, and semantic search.

Some of our Current NLP Speakers

See our full speaker list
2020 Speakers

Sample Talk, Workshop, and Training Sessions

Natural Language Processing Sessions
Spark NLP for Healthcare: Lessons Learned Building Real-World Healthcare AI Systems

Workshop | NLP | Deep Learning | Intermediate-Advanced


The speaker will review case studies from real-world projects that built AI systems using Natural Language Processing (NLP) in healthcare. These case studies cover projects that deployed automated patient risk prediction, automated diagnosis, clinical guidelines, and revenue cycle optimization. He will also cover why and how NLP was used, what deep learning models and libraries were used, and what was achieved. Key takeaways for attendees will include important considerations for NLP projects including how to build domain-specific healthcare models and using NLP as part of larger and scalable machine learning and deep learning pipelines in a distributed environment…more details

Spark NLP for Healthcare: Lessons Learned Building Real-World Healthcare AI Systems image
Veysel Kocaman, PhD
Senior Data Scientist | John Snow Labs
Upcoming Session by Author of Hugging Face Transformers, Thomas Wolf, PhD
Upcoming Session by Author of Hugging Face Transformers, Thomas Wolf, PhD image
Thomas Wolf, PhD
Chief Science Officer | Hugging Face 🤗
Applying State-of-the-art Natural Language Processing for Personalized Healthcare

Talk | NLP | Deep Learning | Intermediate


Accelerating progress in personalized healthcare requires learning the causal relationships between diseases, genes, treatments, medications, labs, and other clinical information – at scale over a large population and time range. More than half of the clinically relevant data in oncology is only found in free-text pathology reports, radiology reports, sequencing reports, and progress notes.

Extracting and normalizing these facts from these clinical documents requires training oncology-specific models that can accurately extract these specific facts from a variety of documents. This talk describes results and lessons learned, from a real-world project doing this at scale…more details

Applying State-of-the-art Natural Language Processing for Personalized Healthcare image
David Talby, PhD
CTO | Pacific AI
Applying State-of-the-art Natural Language Processing for Personalized Healthcare image
Guneet Walia, PhD
Principal Data Scientist | Genentech
State-of-the-art NLP Made Easy

Workshop | NLP | MLOps & Data Engineering


Advances in Natural Language Processing (NLP) over the last year have been fundamentally changing the way we work with text based data. We have seen the release of Google’s BERT and OpenAI’s GPT-2. Hugging Face’s Transformers library has democratized Natural Language Understanding (NLU) and Natural Language Generation (NLG) through. While these libraries provide access to powerful capabilities, it can be challenging for many users to figure out how to get started and apply them to their own datasets.

To address this challenge, Novetta has developed an intuitive guide structured as an NLP task framework that drastically lowers the barrier to entry for developers to use these advanced capabilities. This high-level guide enables users to take advantage of open pre-trained language models to fine-tune models for text classification, question answering, entity extraction, and part-of-speech tagging. The sequence of tutorials will provide quick and easy access to a wide variety of embedding schemes for downstream use, such as in recommendation systems. The ability to stand each of these tasks up as a service for easy integration into existing workflows and applications would be fast and straightforwardmore details

State-of-the-art NLP Made Easy image
Brian Sacash
Machine Learning Engineer | Novetta
State-of-the-art NLP Made Easy image
Andrew Chang
Applied Machine Learning Researcher | Novetta
Level Up: Fancy NLP with Straightforward Tools

Talk | NLP | Open-source | Intermediate


Natural language processing has exploded in popularity during the last decade. No longer confined to academia, many companies now see NLP as a critical portion of their business intelligence, with the NLP market size expected to double again in the next two years. Traditional NLP approaches like sentiment analysis and topic modeling provide undeniably meaningful insights, but what other techniques can be leveraged to mine information from text?

This talk focuses on lesser known NLP methods that can help unearth novel observations and make analyses more memorable. After a brief introduction to the topic, attendees will learn about various open-source Python packages they can apply to enhance their NLP workflows. Example use cases will also be discussed to further solidify how each technique may be leveraged with existing data. Attendees of this talk will discover several unconventional NLP tools such as:
– Scattertext for comparing word usage between two populations
– spaCy’s linguistic features to parse sentences by syntax
– DeepMoji for assigning emoji labels to short textmore details

Level Up: Fancy NLP with Straightforward Tools image
Kimberly Fessel, PhD
Senior Data Scientist, Instructor | Metis
State of the Art Natural Language Processing at Scale

Tutorial | NLP | Machine Learning | Intermediate

David Talby presents the open-source Spark NLP package for training distributed custom natural language machine-learned pipelines on Apache Spark. The library natively extends Spark ML and includes state-of-the-art deep learning models, language models, and 30+ pre-trained NLP models. The talk walks through the library’s goals, design and API’s, using Jupyter notebooks that will be made publicly available after the talk. Best practices and industry use cases where the library has been applied will be discussed as well…more details

State of the Art Natural Language Processing at Scale image
David Talby, PhD
CTO | Pacific AI
Developing Natural Language Processing Pipelines for Industry

Talk | NLP | ML for Programmers | Intermediate


Machine learning has become a core technology underlying many modern applications, especially utilizing natural language processing, where the techniques provide powerful methods for analyzing large data sets, such as contracts, electronic health records, social interactions, and other unstructured text data. With the ability for recent powerful techniques to retain meaning, search, and perform machine translation at high fidelity, alongside many open source traditional and hybrid methods, transforming unstructured content to structured insights, events, and relationships is at the fingertips. Organizations are looking to leverage these emerging technologies and close capability gaps to ingest, monitor, error-check, automate, or improve their capabilities in processing and understanding hundreds of millions of documents. While certain tasks are well addressed by existing systems, organizations often still struggle with implementation, identification of the correct methods & algorithms, as well as properly scale their models to solve open challenges within their terminology. In this session, we examine the data strategy and technical use cases involving natural language processing, the algorithms appropriate for certain project objectives, and discuss the development and deployment of these solutions…more details

Developing Natural Language Processing Pipelines for Industry image
Michael Luk, PhD
Chief Technology Officer | SFL Scientific
Session Title by Byron Galbraith Coming Soon!
Session Title by Byron Galbraith Coming Soon! image
Byron Galbraith, PhD
Chief Data Scientist | Talla
Transform your NLP Skills: Using BERT (and Transformers) in Real Life

Workshop | NLP | Machine Learning | Intermediate-Advanced


This workshop teaches you the use of transformer neural networks and their incarnations (BERT, RoBERTa, GPT-2) for solving real-world natural language use cases. NLP has advanced tremendously over the last few years and BERT is at the forefront of this success having achieved state-of-the-art results on 11 different NLP tasks. For businesses, BERT has unlocked new NLP use cases that have been previously unattainable.

This workshop will teach you what transformers and systems like BERT and GPT-2 are and how to use and modify them for your needs. Organizations have a wealth of unstructured text sources in every line of business, such as employee feedback in human resources, purchase orders and legal documents in contracting and procurement, communication records throughout the org, and many more. Making sense of this information and organizing it into knowledge and actionable insights to improve business outcomes is a key function every data scientist should be aware of…more details

Transform your NLP Skills: Using BERT (and Transformers) in Real Life image
Niels Kasch, PhD
Data Scientist and Founding Partner | Miner & Kasch
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What You'll Learn

Talks & Workshops on these topics:


  • Natural Language Processing

  • NLP Transformers

  • Pre-trained Models

  • Text Analytics

  • Natural Language Understanding

  • Sentiment Analysis

  • Natural Language Generation

  • Speech Recognition

  • Named Entity Extraction


  • BERT

  • XLNet

  • GPT-2

  • Transformers

  • Word2Vec

  • Deep Learning Models

  • RNN & LSTM

  • Machine Learning Models

  • ULMFiT

  • Transfer Learning


  • Tensorflow 2.0

  • Hugging Face Transformers

  • PyTorch

  • Theano 

  • SpaCy

  • NLTK

  • AllenNLP

  • Stanford CoreNLP

  • Keras

  • FLAIR 

You Will Meet

  • Some of the world’s best data science speakers

  • The brains and authors behind today’s most popular open data science tools, topics and languages

  • Hundreds of attendees focused on data science

  • Chief Data Scientists

  • Thought leaders working in data science

  • Data Scientists and Analysts

  • Software Developers

  • CEOs, CTOs, CIOs

  • Data Visualization professionals

  • Venture Capitalists and Investors

  • Startup Founders and Executives

  • Attendees from Healthcare, Finance, Education, Business, Intelligence, and other industries

  • Big data and data science innovators

Why Attend?

Several of the best minds and biggest names in data science will be presenting

Network with attendees from leading data science companies to learn how others are tackling similar problems

Gain quality training and cutting-edge insights in the hottest data science topics, tools, and languages

Learn the latest in data science from industry leaders without having to make room in the budget — tickets are surprisingly inexpensive

Sign Up for ODSC EAST 2020 | April 13th – April 17th

Register Now