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About the Python4NLP summer school

The Python4NLP summer school targets both computer science and humanities (in particular linguistics) students and aims to give them the ability to collect, process and analyse textual data. The school will be Python based and will focus on providing students with a working knowledge of the Python libraries available for collecting, processing, visualizing and analysing textual data. Classes and tutored hands-on sessions will be complement with invited talks and social events. The whole event will be English speaking. There is no prerequesite except a basic knowledge of the Python language.

Invited speakers

Timothée Bernard

Timothée Bernard

Associate Professor in Linguistics

Mathieu Constant

Mathieu Constant

Professor in Computer Science

Keep updated about state-of-the-art NLP techniques with Python
in a unique 5-days experience.

Valuable Insight

Get hands-on common NLP tasks with Python in a friendly and yet studious atmosphere.

Global Audience

Come and meet people with various backgrounds and a strong interest in Natural Language Processing.

Great Community

Exchange information and ideas with people having common interest in an informal social setting.

Schedule

  • 10.00am

    Introduction

    By Christophe Cerisara, Claire Gardent and Yannick Parmentier

    Researchers at CNRS-LORIA and organisers of the summer school

  • 10.30am

    Coffee break

     
  • 11.00am

    Collecting data

    By Yannick Parmentier

    Associate Professor at Université de Lorraine

  • 12.30am

    Lunch Break

    at the canteen.

  • 2.00pm

    Lab session 1

    supervised by tutors
  • 3.30pm

    Coffee break

     
  • 4.00pm

    Lab session 2

    supervised by tutors
  • 6.00pm

    Social event

    welcome party
  • 9.30am

    Invited talk: Introduction to multiword expression identification

    By Mathieu Constant

    Professor at Université de Lorraine, affiliated with ATILF-CNRS

  • 10.30am

    Coffee break

     
  • 11.00am

    Processing text

    By Claire Gardent

    Researcher at CNRS-LORIA

  • 12.30am

    Lunch Break

    at the canteen.

  • 2.00pm

    Lab session 1

    supervised by tutors
  • 3.30pm

    Coffee break

     
  • 4.00pm

    Lab session 2

    supervised by tutors
  • 6.00pm

    Social event

    Guided city tour
  • 9.30am

    Invited talk: Multiple Tasks Integration

    By Timothée Bernard

    Associate Professor at Université de Paris.

  • 10.30am

    Coffee break

     
  • 11.00am

    Analysing text

    By Claire Gardent

    Researcher at CNRS-LORIA.

  • 12.30am

    Lunch Break

    at the canteen.

  • 2.00pm

    Lab session 1

    supervised by tutors
  • 3.30pm

    Coffee break

     
  • 4.00pm

    Lab session 2

    supervised by tutors
  • 10.30am

    Coffee break

     
  • 11.00am

    Introduction to Statistical and Deep Learning

    By Claire Gardent

    Researcher at CNRS-LORIA

  • 12.30am

    Lunch Break

    at the canteen.

  • 2.00pm

    Lab session 1

    supervised by tutors
  • 3.30pm

    Coffee break

     
  • 4.00pm

    Lab session 2

    supervised by tutors
  • 7.00pm

    Social event

    Bowling (diner included)
  • 10.30am

    Coffee break

     
  • 11.00am

    Experimental best practices

    By Christophe Cerisara

    Researcher at CNRS-LORIA

  • 12.30am

    Lunch Break

    at the canteen.

  • 2.00pm

    Lab session 1

    supervised by tutors
  • 3.30pm

    Coffee break

     
  • 4.00pm

    Lab session 2

    supervised by tutors
LORIA Laboratory
09 - 13 May, 2022

Campus Scientifique - BP 239
54506 Vandoeuvre-lès-Nancy, France

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Sponsors

Python4NLP is possible thanks to