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A team of people passionate about NLP challenges and technologies

Heka.ai's center of expertise on TALN and NLP topics

The team relies on proprietary textual data sets to create Python packages that include the approaches selected by the use case. The missions of the Lab: 
  • Technology monitoring
  • Centralization and diffusion of NLP expertise within our Heka.ai team
  • Benchmark and development of new approaches to major NLP use cases
 

Our AI solutions based on NLP

Our publications

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Boosting search engine capabilities of RegReview:…

RegReview is an AI solution for compliance teams, to automate regulatory monitoring and processes, which brings together several tools, the most essential of which is a search engine operating on a compiled database of custom-built regulatory sources.

The database contains ~300k documents.

2024

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Labeling text clusters with keywords

We propose to explore several keyword extraction techniques to label text clusters obtained after a Text Clustering or a Topic Modeling pipeline. This work is following our previous articles about Topic Modeling and Text Clustering (here and here).

2024

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Synthetic data or how to share sensitive data…

For a period of six months, 5 students from Centrale Supélec and ESSEC worked collaboratively with Sia Partners on building a Python library to create fake - which we'll call synthetic - data.
But what's the point of creating fake data? How could it help organizations?

2024

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