research development NLP

The Lab is the Research & Development department of Lingua Custodia. Each member is a Doctor in Machine Learning and a specialist in Natural Language Processing (NLP). It has a triple mission: to actively contribute to academic and industrial research in these specific fields, to maintain the products and services offered by Lingua Custodia at the state of the art, and to develop new value-added applications for our clients. 

The team

Doctor in Machine Learning

Melissa Ailem

Melissa Ailem

Researcher

DBLP
Google Scholar

Doctor en Natural Language Processing

Raheel Qader

Raheel Qader

Head of Lab

DBLP
Google Scholar

Doctor in Machine Learning

Jingshu Liu

Jingshu Liu

Engineer

DBLP
Google Scholar

Partners

Projects

Lingua Custodia Lab works on very different topics, with Natural Language Processing as a common denominator.
Here are the reserach projects created by the Lab's team. 

Prototypes

Discover the prototypes developed by the Lab team and based on Natural Language Processing applied to finance.

Extra-financial Criteria Lexical Comparator

This prototype, developed by Lingua Custodia’s Lab, gives an analysis of two documents and is based on the GRI Standards.

comparator

Activities

ACL 2021 Conference

This research paper “Encouraging Neural Machine Translation to Satisfy Terminology Constraints” has been accepted for publication at the ACL 2021 conference, in the Findings of ACL 2021. It presents a new approach to encourage neural machine translation to satisfy lexical constraints. ACL is the premier conference of the field of computational linguistics, rewarding the most promising research papers woldwide. This new recognition confirms the  Lab’s position as a leader in the NLP field, alongside most prestigious companies: Google Research, Facebook AI or Amazon Sciences.

IJCAI-PRICAI: Learning Data Representation for Clustering

This workshop aims at discovering the recent advanced on data representation for clustering under different approaches. Thereby, the LDRC workshop is an opportunity to (i) present the recent advances in data representation based clustering algorithms; (ii) outline potential applications that could inspire new data representation approaches for clustering; and (iii) explore benchmark data to better evaluate and study data representation based clustering models.

Lecture at Université Grenoble Alpes

Head of the Lab Raheel Qader gave a lecture at the Université Grenoble Alpes, to master students majoring in Financial Engineering. The lecture talks about Natural Language Processing applied to Finance, and more specifically Machine Translation.

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