Bloomberg Tech Talk: Applied Named Entity Recognition

Speaker(s): Daniel Preotiuc-Pietro and Mayank Kulkarni
Topic: Applied Named Entity Recognition

During this talk, two senior research scientists from Bloomberg’s AI Group presented on some of their work on Applied Named Entity Recognition. Their discussion focused on applications of NER at Bloomberg, multi-domain NER, and analysis of NER using temporal data.

Due to restrictions from Bloomberg, we were unable to record this session. We apologize for the inconvenience.

Supplemental Resources

Papers from Bloomberg AI:
Temporally-Informed Analysis of Named Entity Recognition, ACL 2020
Multi-Domain Named Entity Recognition with Genre-Aware and Agnostic Inference, ACL 2020
A Semi-Markov Structured Support Vector Machine Model for High-Precision Named Entity Recognition, ACL 2019

Slides from Bloomberg AI:
Multi-Domain NER