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v9.1 second may update, add the final thesis version
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Szakdolgozat-Fabian-Bernat.pdf

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index.html

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@@ -66,10 +66,19 @@ <h1>News</h1>
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<h1>Publications</h1>
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<div>
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<ul>
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<li>Peternity - A context-based word sense disambiguation system and algorithm library written in
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Python,
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based on <a href="https://pilehvar.github.io/wic/" target="_blank">WiC: The Word-in-Context
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Dataset</a>,
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<li class="bold-and-highlighted">
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<h2>
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Comparing the Performance of Language Models on a Word-in-Context Benchmark and Developing a
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Custom Evaluation System in Python
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</h2>
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<p class="content-description">
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Peternity - A context-based word sense disambiguation system and algorithm library written in
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Python,
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based on
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<a href="https://pilehvar.github.io/wic/" target="_blank">
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WiC: The Word-in-Context Dataset
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</a>
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</p>,
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a reliable benchmark for the evaluation of context-sensitive word embeddings.
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</li>
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<li style="list-style-type: none;"> 2024-2025</li>
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<ul>
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<span>
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<img alt="oveleaflogo.png" height="32" src="/img/oveleaflogo.png" width="32">
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<li><a href="https://www.overleaf.com/read/hdsmwqzsjyhy#e73a16"
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<li><a href="https://www.overleaf.com/read/qssdjqpbnhwv#c57ebb"
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target="_blank">Overleaf project</a></li>
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</span>
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<img alt="PDF_file_icon.svg.png" height="32" src="/img/PDF_file_icon.svg.png" width="32">

src/styles.css

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max-width: 150px; /* Adjust the image size as needed */
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font-family: 'Playfair Display', serif;
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font-weight: 700;
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font-size: 1.25rem;
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color: #1a1a1a;
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box-shadow: 0 2px 5px rgba(0, 0, 0, 0.05);
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border-radius: 6px;
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transition: background-color 0.3s ease;
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}
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background-color: #f0f0f0;
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}
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font-family: 'Libre Baskerville', serif;
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font-size: 1.05rem;
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color: #333;
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line-height: 1.6;
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margin-top: 0.5rem;
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margin-bottom: 0.5rem;
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padding-left: 0.5rem;
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border-left: 3px solid #ccc;
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