Shalvi
Mahajan
Data Scientist
"Natural Language Understanding and Inference"
"Natural Language Understanding and Inference"
Wed June 9 - 10:30 AM EDT/New York (See in local time)
Add to Calendar
04//2024 10:30 AM
04//2024 10:50 AM
America/New_York
#WTGC2024
"Natural Language Understanding and Inference"
#WTGC2024
"Natural Language Understanding and Inference"
https://app.events.ringcentral.com/events/women-in-tech-global-conference-2024/reception
https://www.womentech.net/vfairs
"Natural Language Understanding and Inference"
"Natural Language Understanding and Inference"
Don’t miss out and join visionaries, innovators, and thought leaders from all over the world at the Women in Tech Global Conference.
Vote by Sharing
Unite 100 000 Women in Tech to Drive Change with Purpose and Impact.
Do you want to see this session? Help increase the sharing count and the session visibility. Sessions with +10 votes will be available to career ticket holders.
Please note that it might take some time until your share & vote is reflected.
Session: Natural Language Understanding and Inference
Natural language processing is a commonly heard topic related to textual processing. But NLU or NLI are also the part of NLP which actually are the subtopics of NLP. Natural language understanding explains how the language needs to be understood before processing it. Natural language inference is the one where sentences from multiple languages can be processed using language-agnostic multilingual models and analyse how closely they are related to each other in a high dimensional space.This talk would be a general overview on how to distinguish between different concepts of NLP and leverage it in the real world!
Key Takeaways
- NLP
- GNN
- Data science
- ML
Bio
I am working as Data Scientist since past few years. Before that, I have worked as software engineer and love doing coding along with design and architecture.I am pretty much passionate about various Machine learning domains and statistics in general.
I always look forward to promote women specially in STEM field, help them combat imposter syndrome whenever they face as well as try to help them even in non technical domains that can aid them in career progression.
