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<!DOCTYPE html>
<html lang="en">
<head>
<link href="./dir.css" rel="stylesheet" type="text/css">
<link href="https://fonts.googleapis.com/css?family=Montserrat:400,700" rel="stylesheet">
<link rel='shortcut icon' type='image/x-icon' href='favicon.png'/>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<script src="https://code.jquery.com/jquery-3.4.1.min.js"></script>
<title>DIR 2019 ⚡ Lightning Talk Edition ⚡ November 29, 2019 ⚡ Amsterdam</title>
<style>
table {
text-align:left;
padding: 1em;
border-collapse: collapse;
font-size:1.5rem;
width:90%;
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table td {
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table .large {
font-size: 1.2em;
font-weight: bold;
color: red;
border-top: 5px solid red;
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table #left {
width:10%;
text-align: right;
}
table #left, table #right {
padding: 5px 10px;
}
table .paper-title, table .paper-time {
font-size:1em;
border-top: 5px solid black;
}
table .paper-authors {
font-size:.9em;
}
</style>
</head>
<body>
<script>$(function () {
$("#nav-placeholder").load("nav.html");
});</script>
<div id="content" style="width:90%;">
<div id="nav-placeholder" style="width:90%;"></div>
<div class="main">
<div id="block">
<div class="logo">
<span class="pad-right">DIR</span>
<span class="img"><img src="img/lightning.svg" /></span>
<span class="pad-left">19</span>
</div>
</div>
</div>
</div>
<h2>Posters</h2>
<table>
<tr>
<td id='right' class="large">Predicting Semantic Labels of Text Regions in Heterogeneous Document Images (KONVENS 2019)</td>
</tr>
<tr>
<td id='right' class='paper-authors'><strong>Djoerd Hiemstra</strong></td>
</tr>
<tr>
<td id='right' class="large">Impact of Debiasing Word Embeddings on Information Retrieval (Future Directions in Information Access 2019)</td>
</tr>
<tr>
<td id='right' class='paper-authors'><strong>Emma Gerritse</strong></td>
</tr>
<tr>
<td id='right' class="large">Simple Heuristics for Entity Ranking (TREC)</td>
</tr>
<tr>
<td id='right' class='paper-authors'><strong>Chris Kamphuis</strong></td>
</tr>
<tr>
<td id='right' class="large">A Dynamic Co-attention Network for Session-based Recommendation (CIKM '19)</td>
</tr>
<tr>
<td id='right' class='paper-authors'><strong>Wanyu Chen</strong></td>
</tr>
<tr>
<td id='right' class="large">Learning to Ask: Question-based Sequential Bayesian Product Search (CIKM '19)</td>
</tr>
<tr>
<td id='right' class='paper-authors'><strong>Jie Zou</strong></td>
</tr>
<tr>
<td id='right' class="large">BERT-NL - a set of language models pre-trained on the Dutch SoNaR corpus</td>
</tr>
<tr>
<td id='right' class='paper-authors'><strong>Alex Brandsen</strong></td>
</tr>
<tr>
<td id='right' class="large">The merits of Universal Language Model Fine-tuning for Small Datasets -- a case with Dutch book reviews</td>
</tr>
<tr>
<td id='right' class='paper-authors'><strong>Suzan Verberne</strong></td>
</tr>
<tr>
<td id='right' class="large">Smart Content-based Book Recommendations</td>
</tr>
<tr>
<td id='right' class='paper-authors'><strong>Niels Bogaards</strong></td>
</tr>
<tr>
<td id='right' class="large">A Dynamic Co-attention Network for Session-based Recommendation (CIKM '19)</td>
</tr>
<tr>
<td id='right' class='paper-authors'><strong>Fei Cai</strong></td>
</tr>
<tr>
<td id='right' class="large">Personalized Recommendations for Music Genre Exploration (UMAP)</td>
</tr>
<tr>
<td id='right' class='paper-authors'><strong>Yu Liang</strong></td>
</tr>
</table>
</body>
</html>