NLP Research and Resources at DaSciM, Ecole Polytechnique

TL;DR

DaSciM at Ecole Polytechnique has been advancing NLP and text mining through research and resource development, focusing on large-scale data analysis using machine and deep learning methods.

Contribution

The paper presents new NLP methods and resources developed by DaSciM, contributing to the AFIA community's research and applications.

Findings

Development of new NLP algorithms

Creation of NLP datasets and resources

Improved large-scale text analysis techniques

Abstract

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.