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
How Freshworks Freddy AI leverages NLP to deliver Ethics-First Customer Experiences at Scale
Peter Stadlinger – Head of Product for Freshworks CRM
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
Felisia Loukou – Senior NLP Data Scientist at Adarga
Panel: NLP in Practice
Paco Nathan – Evil Mad Scientist & Founder at Derwen AI
Amy Heineike – Chief Product Architect at Primer AI
Joel Grus – Engineering leader / ML / AI / NLP
Felisia Loukou – Senior NLP Data Scientist at Adarga
Daniel Vila Suero – CEO & Founder at Recognai
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
NLP is going to be the most transformational tech of the decade!
Clément Delangue – CEO at Hugging Face
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
John Snow Labs NLU: The simplicity of Python, the power of Spark NLP
Christian Kasim Loan – Senior Data Scientist at John Snow Labs
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
NLP in Oncology Real World Data: Opportunities to develop a true learning healthcare system
George A. Komatsoulis, Ph.D. – Chief of Bioinformatics at CancerLinQ
1:25 pm ET – 1:45 pm ET
20 minute break
1:45 pm ET – 2:15 pm ET
Build powerful patient cohorts for population analysis using unstructured healthcare data
Sriram Parthasarathy – VP & Chief Product Officer at MetiStream
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
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
Biases in NLP datasets and how that is impacting model results
Vamsi Sisla – Director of Data Sciences at Unify Consulting/ UC Berkeley
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
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 DL in Commercial Environments: Challenges and Solutions
Moshe Wasserblat – NLP & DL Research Manager at Intel
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 – 2:30 pm
Hackathon showcase & winners
Armaan Gupta – CEO at Kreative
NLP Summit
Free & Online Event | October 6th – 16th
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