DeepAI AI Chat
Log In Sign Up

NLP Research and Resources at DaSciM, Ecole Polytechnique

by   Hadi Abdine, et al.

DaSciM (Data Science and Mining) part of LIX at Ecole Polytechnique, established in 2013 and since then producing research results in the area of large scale data analysis via methods of machine and deep learning. The group has been specifically active in the area of NLP and text mining with interesting results at methodological and resources level. Here follow our different contributions of interest to the AFIA community.


page 1

page 2

page 3

page 4


Efficient Methods for Natural Language Processing: A Survey

Getting the most out of limited resources allows advances in natural lan...

A large-scale comparative analysis of Coding Standard conformance in Open-Source Data Science projects

Background: Meeting the growing industry demand for Data Science require...

Diversifying the Genomic Data Science Research Community

Over the last 20 years, there has been an explosion of genomic data coll...

The Data Science Fire Next Time: Innovative strategies for mentoring in data science

As data mining research and applications continue to expand in to a vari...

HappyDB: A Corpus of 100,000 Crowdsourced Happy Moments

The science of happiness is an area of positive psychology concerned wit...

Text Data Mining: Theory and Methods

This paper provides the reader with a very brief introduction to some of...

Changing the World by Changing the Data

NLP community is currently investing a lot more research and resources i...