Applied Natural Language Processing
Join the wold’s largest applied NLP community at this third edition of the virtual NLP Summit! Three days of immersive content including over 50 technical sessions, with focus days on open source, healthcare and applications. Attend live Q&A sessions with the speakers, connect with others through networking features, and access all content on-demand after the event.
The second week will feature beginner to advanced live training workshops with certifications. Learn, share, and apply best practices for putting AI to good use!
Speakers

Bob Van Luijt
CEO & Co-Founder at Weaviate

Waleed Kadous
Chief Scientist at Anyscale

Supriya Raman
VP Data Science at JPMorgan

Sudhir Hasbe
Chief Product Officer at Neo4j

Dia Trambitas
Head of Product at John Snow Labs

David Talby
CTO at John Snow Labs

Christine Swisher
Chief Scientific Officer at Project Ronin

Veysel Kocaman
Head of Data Science (Healthcare) at John Snow Labs

Andrew Burt
Co-founder & Managing Partner at Luminos.Law

Dave DeCaprio
CTO & Co-founder at ClosedLoop

Shay Sayed
Principle Solutions Engineer at ClosedLoop

Dives Lucato
Principal Architect at Microsoft

Swagata Ashwani
Data Science Lead at Boomi

Karim Galil
Co-Founder/CEO at Mendel.ai

Divya Mereddy
Data Scientist at Ascena Retail

Carlos RodrÃguez Abellán
Lead NLP Engineer at Fujitsu

Jennifer D'Souza
Postdoctoral researcher at TIB – Leibniz Information Centre for Science & Technology

John Bauer
Research Engineer at Stanford

Itay Zitvar
Software Engineering Team Lead (NLP) at Hyro

Pavithra Rajendran
Senior Data Scientist at Great Ormond Street Hospital NHS Trust

Michelle Banawan
Asst Professor and Academic Program Director at Asian Institute of Management

Vipul Raheja
Applied Research Scientist at Grammarly

Stephanie Grim
Health Care Researcher at University of Colorado

Thomas Kranzkowski
Senior Data Science Consultant at Woodmark Consulting AG

Alex Chao
Senior Product Manager at Microsoft

Nafiseh Mollaei
Postdoc at Loyola University Chicago

Harvey Castro
Author at ChatGPT Healthcare

Yizhen Zhong
ML Scientist at Freenome

Zain Hasan
Senior ML Developer Advocate at Weaviate

Harsha Gurulingappa
Head of Text Analytics at Merck KGaA, Darmstadt, Germany

Yash Sheth
Co-Founder at Galileo

Dishant Banga
Sr Data Analyst at Bridgetree

Durga Borkar
MD, MMCi, Medical Advisor at Verana Health

Logesh Kumar Umapathi
Lead Machine Learning Research Engineer at Saama Technologies

Shir Chorev
Co-founder & CTO at Deepchecks

Ke Ji
Senior Lead Data Scientist at American Family Insurance

Yuval Belfer
Developer Advocate at AI21 Labs

Dives Lucato
Principal Architect at Microsoft

Lovedeep Saini
Data Science Manager at Arthur J Gallagher

Christian Kasim Loan
Lead Data Scientist at John Snow Labs

Luis Gehrmann
Data and Analytics Architect at Merck Group

Alberto Oteo Garcia
Data Scientist at Merck Group

Neelesh Shukla
Senior Manager - Principal AI Scientist at State Street Corporation

Zongrui Pei
Senior staff at NYU

Matthew Robinson
Engineering Lead at Unstructured Technologies

About
The NLP Summit is the gathering place for those putting state-of-the-art natural language processing to good use. This third edition of the virtual conference showcases NLP best practices, real-world case studies, challenges in applying deep learning & transfer learning in practice – and the latest open source libraries, models & transformers you can use today. The NLP Summit brings together the growing NLP community interested in building language understanding applications used in healthcare, life science, finance, eCommerce, media, recruiting, and more.

Topics Covered
- Vision-Based Automatic Groceries Tracking System – Smart Homes
- Natural Language Processing to Describe eConsult Requests: Clinical Question and Specialist Response
- Unlocking Visual Creativity: Harnessing Large Natural Language Models to Convert Human Language into Graphical Representations
- Leveraging Large Language Models for Customer Service and Support Transformation
- Customizing GPT Models for Domain-Specific NLP Tasks: Techniques for Fine-tuning and Adaptation
- ComComputational Linguistic Analysis of Engineered Chatbot Prompts
- In the GPT Jungle: Lessons Learned from using LLMs in the Wild in Healthcare
- From Text to Insights: Empowering NLP Models for Document QA with Generative AI
- The State of the Art Transformer Language Models for Knowledge Graph Construction from Text
- Taming the Large Language Models – Efficient Inference of Multi-billion Parameter Models
- Unleashing the Power of Text Preprocessing in Natural Language Processing
- Cooking with the Semantic Kernel: Recipes for Building Chatbots, Agents, and more with Large Language Models
- What’s New in Stanford NLP and Stanza
- Opportunities and Challenges in Building Intelligent Writing Assistants