Meetup Overview

DSPT#69 – Can Somebody make sense of this Noisy Text? (Porto)

published by Rodrigo Barros - 3 January, 2020

In the last Porto’s meetup of the year, we tried to make sense from noisy data and do a dive deep into the world of Natural Language processing!

In the first talk, Daniel Loureiro, a Ph.D. candidate from Porto University, started by taking us on a journey through neural language models and their benefits in several areas, including the medical domain.

Then, Diego Esteves from Farfetch drove through a world in which it is possible to make sense of noisy text data and how recent explored work was able to beat start-of-the-art (SOTA) performance.

Finally, we would like to thank Talkdesk for cooperating with DSPT organizing this meetup.

Participants

And of course, no DSPT meetup would be complete without our group photo.


Notes

The event in numbers


  • 2 Speaker
  • Lots of knowledge shared during 2.5h
  • More than 40 participants
  • 1 Coffee break
  • A lot of noisy text
Shared Knowledge

Interesting links and contents related to the meetup.

  • Data Science Portugal Meetup #54 Introduction

  • Talk: BERT-based Word Sense Disambiguation and Medical Entity Linking by Daniel Loureiro

  • Talk: HORUS-NER: A Multimodal Named Entity Recognition Framework for Noisy Text by Diego Esteves