Program

Day 1 | Trends & Best Practices

Tuesday, October 6

(All times are US Eastern Time)

12:00 pm ET – 12:25 pm ET

The 2020 Trends for Applied Natural Language Processing

David Talby – CTO at John Snow Labs

12:25 pm ET – 12.45 pm ET

Industry Survey Analysis: the industry landscape of natural language use cases in 2020

Paco Nathan – Evil Mad Scientist & Founder at Derwen AI

12:45 pm ET – 1:05 pm ET

Auto NLP: Pretrain, Tune & Deploy State-of-the-art Models Without Coding

Dia Trambitas – Product Lead at John Snow Labs

1:05 pm ET – 1:25 pm ET

Proof-of-Concept Delight

Joel Grus – Engineering leader / ML / AI / NLP

1:25 pm ET – 1:45 pm ET

20 minute break

1:45 pm ET – 2:15 pm ET

Distributed Natural Language Processing Apps for Financial Engineering

Moody Hadi – Group Manager, Financial Engineering at S&P Global Market Intelligence

Bleeding edge applications of 2020 Transformers

Kamal Ali – Consulting ML/NLP Applied Scientist

Panel: State of the NLP Industry

2:20 pm ET – 2:50 pm ET

NLP for Recruitment Automation: Building a Chatbot from the Job Description

Keisuke Inoue – NLP Data Scientist at Wade and Wendy

Continuous pretraining and delivery of NLP models to optimize sales engagement

Yong Liu – Principal Data Scientist at Outreach.io

Beyond Accuracy: Behavioral Testing of NLP Models with CheckList

Marco Túllio Ribeiro – Senior Researcher at Microsoft Research

2:55 pm ET – 3:25 pm ET

Deep Learning for Legal NLP

Brian Ulicny – VP, Thomson Reuters Labs, Americas at Thomson Reuters

A Unified CV, OCR & NLP Model Pipeline for Document Understanding at DocuSign

Patrick Beukema – Senior ML Engineer at DocuSign 
Michael Chertushkin – Data Scientist at John Snow Labs

NLP for Subjectivity and Emotion

Seth Grimes – AI & NLP Strategy Consultant

3:30 pm ET – 4:00 pm ET

Visualize BERT Attention for Natural Language Understanding (NLU) Use Cases using Amazon SageMaker

Antje Barth – Developer Advocate, AI and Machine Learning at Amazon Web Services

Disambiguation – Linking Data Science and Engineering

Sebastian Reitz – Machine Learning Engineer at Adarga
Felicia Loukou – Senior NLP Data Scientist at Adarga

Day 2 | Open-source Libraries

Wednesday, October 7

(All times are US Eastern Time)

12:00 pm ET – 12:25 pm ET

State of the art natural language understanding in Python

Maziyar Panahi – Spark NLP Lead at John Snow Labs

12:25 pm ET – 12.45 pm ET

12:45 pm ET – 1:05 pm ET

Stanza: A Multi-lingual Multi-domain Python Natural Language Processing Toolkit

Yuhao Zhang – Researcher at Stanford University & Stanza Committer

1:05 pm ET – 1:25 pm ET

AllenNLP grows eyes: Combining natural language with vision

Dirk Groeneveld – Sr. Software Engineer at Allen Institute for Artificial Intelligence (AI2) & Allen NLP Committer

1:25 pm ET – 1:45 pm ET

20 minute break

1:45 pm ET – 2:15 pm ET

NLP DL in Commercial Environments: Challenges and Solutions

Moshe Wasserblat – NLP & DL Research Manager at Intel

How to train state of the art NLP models without writing code using Ludwig

Piero Molino – ML/NLP Research Scientist at Stanford University & Ludwig.ai Committer

Real Time Stream Processing for NLP at Scale

Alejandro Saucedo – Chief Scientist at The Institute for Ethical AI & Machine Learning

2:20 pm ET – 2:50 pm ET

Bringing Spark NLP to R

David Kincaid – Senior Data Scientist at IDEXX & r-spark/sparknlp Committer

Learning from the vector space: extracting knowledge from x2vec

Janna Lipenkova – Founder and CEO at Anacode

Propaganda Analysis with NLP: What Can We Possibly Learn from “Fake News?”

Weifeng Zhong – Senior Research Fellow, Mercatus at GMU

2:55 pm ET – 3:25 pm ET

Ray for NLP

Dean Wampler – Head of Developer Relations at Anyscale

Efficiency is the New Precision

Francisco De Sousa Webber – CEO, Founder at Cortical.io

NLP in the presidential election, what is possible?

Scott Murdoch – Director, Data Science at HealthJoy

3:30 pm ET – 4:00 pm ET

Keeping Up With Evolving Languages

Kfir Bar – Chief Scientist at Basis Tech

NLP research to Production: Case studies

Christine Gerpheide – CTO at Bespoke

How To Train BERT 15x Faster

Neil Conway – CTO at Determined.ai

Day 3 | NLP in Healthcare

Thursday, October 8

(All times are US Eastern Time)

12:00 pm ET – 12:25 pm ET

Towards better than human clinical Named Entity Recognition

Veysel Kocaman – Lead Data Scientist and ML Engineer at John Snow Labs

12:25 pm ET – 12.45 pm ET

NLP in Healthcare – Challenges & Opportunities

Ganesh Thodikulam – Executive Director at Kaiser Permanente

12:45 pm ET – 1:05 pm ET

Automated Diagnosis & Prediction in Healthcare

Kira Radinsky ChairWoman & CTO at Diagnostic Robotics

1:05 pm ET – 1:25 pm ET

Session title TBD

Speaker to be announced soon

1:25 pm ET – 1:45 pm ET

20 minute break

1:45 pm ET – 2:15 pm ET

Panel: Challenges in Applying NLP in Real-World Healthcare Systems

David Talby – CTO at John Snow Labs

Ben Lorica – Chair of the NLP Summit & co-chair of the Ray Summit

Catherine Havasi – Founder and CEO at Dalang

Advancing the Patient Experience with Human-Centered AI Design

Catherine Havasi – Founder and CEO at Dalang

Text Analytics and its Applications in the Pharma Industry

Dr. Harsha Gurulingappa – Text Analytics Product Owner at Merck KGaA, Germany

2:20 pm ET – 2:50 pm ET

Developing language of collaboration for healthier neighborhoods

Marianne Hoogeveen – Staff Data Scientist at Cityblock Health

Automated de-identification of medical documents & images

Mykola Melnyk and Alina Petukhova – Senior Data Scientists at John Snow Labs

Intensive Feature Engineering from Unstructured Data to Determine Probability of a 30-day Readmission

Andrew Malinow – Area Practice Director – AI & Machine Learning at ePlus Technology, Inc

2:55 pm ET – 3:25 pm ET

Lesson Learned annotating training data for healthcare NLP projects

Rebecca Leung and Marianne Mak Clinical Data Researcher at John Snow Labs

Using Spark NLP to build a drug discovery knowledge graph for Covid-19

Vishnu Vettrivel – Founder & CEO at Wisecube
Alexander Thomas – Principal Data Scientist at Wisecube

The challenge of Table Mining of clinical documents

Orly Frank – VP R&D at Beaconcure

3:30 pm ET – 4:00 pm ET

Build powerful patient cohorts for population analysis using unstructured healthcare data

Sriram Parthasarathy – VP & Chief Product Officer at MetiStream

Biases in NLP datasets and how that is impacting model results

Vamsi Sisla – Director of Data Sciences at Unify Consulting/ UC Berkeley

Mitigating the Liabilities of Artificial Intelligence in NLP

Andrew Burt – Managing Partner at Bnh.ai
Patrick Hall – Principal Scientist at Bnh.ai

Day 4 | Conversations with Machines

Friday, October 9

(All times are US Eastern Time)

12:00 pm – 12:25 pm

Towards better conversational AI: the importance of open source and conversation-driven development

Justina Petraityte – Head of Developer Relations at Rasa Technologies Inc.

12:25 pm – 12.45 pm

NLP Challenges in analyzing human conversations

Adrian Szymczak – Lead Machine Learning Engineer at Avaya

12:45 pm – 1:05 pm

Science vs. COVID, conversations at scale

Amy Heineike – Chief Product Architect at Primer AI

1:05 pm – 1:25 pm

Towards End-To-End Automatic Speech Recognition

Bo Li – Senior Research Scientist at Google

1:25 pm – 1:45 pm

20 minute break

1:45 pm – 4:00 pm

Hackathon showcase & winners

Armaan Gupta – CEO at Kreative

NLP Summit

Free & Online Event | October 6th – 16th

When

Sessions: October 6 – 9
Trainings: October 13 – 16

Contact

nlpsummit@johnsnowlabs.com

Presented by

When

Sessions: October 6 – 9
Trainings: October 13 – 16

Contact

nlpsummit@johnsnowlabs.com

Presented by