Name: Named Entity Recognition - A theoretical & practical introduction
Start: 2020-02-26T18:00:00-05:00
End: 2020-02-26T20:00:00-05:00
Location: FiscalNote

Join WiMLDS DC for our first meetup! We'll have a talk by Anastasssia Kornilova on NLP followed by some time to network & socialize with our peers downstairs at Elephant & Castle.

Schedule:

6 - 6:20pm: Doors open - settle in and get to know each other
6:20-7:20pm: Talk - Named Entity Recognition - A theoretical and practical introduction.
7:20pm: Meet other WiMLDS attendees at Elephant & Castle

Talk: Named Entity Recognition - A theoretical and practical introduction.

Named Entities (e.g people, organizations, places) are prevalent in most text datasets. The challenge of recognizing them (NER) has received a lot of attention in the NLP community. In this talk, Anastassia will explain how state-of-the-art methods tackle this problem using networks. She will, also, go over the practical approaches for building your own NER models using SpaCy and flexible rules. After this talk, you will have the skills to create your own tools for identifying custom entities in our own datasets.

About the speaker:

Anastassia Kornilova is a Research Scientist at FiscalNote. She spends her days using Natural Language Processing (NLP) and Data Science to create insights for legislative and regulatory data. You can check out her publications here: https://scholar.google.com/citations?user=Iys4zlsAAAAJ&hl=en

Washington DC Women in Machine Learning and Data Science

Technology

Artificial Intelligence

Women in Technology

Big Data

Machine Learning

Data Analytics

Data Visualization

Predictive Analytics

Data Mining

Gender Equality

Data Science

Deep Learning

WiMLDS

Named Entity Recognition - A theoretical & practical introduction

FiscalNote

Share

Washington DC Women in Machine Learning and Data Science

Named Entity Recognition - A theoretical & practical introduction

Washington DC Women in Machine Learning and Data Science

Details

Members are also interested in