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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>About - SaLM</title>
<link rel="stylesheet" href="style.css">
</head>
<body>
<header>
<div class="header-container">
<img src="images/sciencespo_logo.png" alt="Sciences Po Logo" class="logo-left">
<h1>SaLM</h1>
<img src="images/inria_logo.png" alt="INRIA Logo" class="logo-right">
</div>
<p>Socially-Aware Language Models</p>
<nav>
<ul>
<li><a href="index.html">Home</a></li>
<li><a href="about.html">About</a></li>
<li><a href="events.html">Events</a></li>
<li><a href="team.html">Team</a></li>
</ul>
</nav>
</header>
<main>
<section>
<h2>About the Project</h2>
<p>
The SALM project is an interdisciplinary collaboration between Sciences Po's
<a href="https://medialab.sciencespo.fr/" target="_blank">médialab</a> and
<a href="https://www.sciencespo.fr/centre-etudes-europeennes/fr/" target="_blank">CEE</a>, and INRIA's
<a href="https://team.inria.fr/almanach/" target="_blank">ALMAnaCH</a> labs.
It aims to redefine NLP algorithms by integrating social contexts, emphasizing the cultural
and sociological dimensions of language use. The project explores these aspects through
two PhD projects focusing on hate speech detection and cultural bias detection.
</p>
</section>
</main>
<footer>
<p>© 2024 SaLM Project</p>
</footer>
</body>
</html>