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Update README.md
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README.md
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@@ -18,43 +18,57 @@ Instructed on a reduced number of samples, it is designed to tackle never-seen-b
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<head>
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<title>Instruction Tuning Prompt</title>
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<style>
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.container {
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border: none;
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padding: 5px;
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width: 300px;
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margin:
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}
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.header
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background-color: black;
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color: white;
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padding:
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text-align: center;
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font-weight: bold;
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border-top-
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border-top-right-radius: 10px; /* Rounded top-right corner */
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}
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.footer {
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border-bottom-left-radius: 10px; /* Rounded bottom-left corner */
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border-bottom-right-radius: 10px; /* Rounded bottom-right corner */
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margin-top: 10px; /* Provide some space between content and footer */
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}
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.content {
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.definition, .guidelines {
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padding: 5px;
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border-radius: 10px; /* Rounded borders for definition and guidelines */
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}
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.definition {
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background-color: #ccffcc;
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}
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.guidelines {
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background-color: #ffffcc;
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}
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</style>
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</head>
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@@ -79,11 +93,13 @@ Instructed on a reduced number of samples, it is designed to tackle never-seen-b
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<p>Return a JSON list of instances of this Named Entity type. Return an empty list if no instances are present.</p>
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<p><b>[/INST]</b></p>
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</div>
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</div>
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</body>
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</html>
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Currently existing approaches fine-tune on an extensive number of entity classes (around 13K) and assess zero-shot NER capabilities on Out-Of-Distribution input domains.
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SLIMER performs comparably to these state-of-the-art models on OOD input domains, while being trained only a reduced number of samples and a set of NE tags that overlap in lesser degree with test sets.
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<head>
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<title>Instruction Tuning Prompt</title>
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<style>
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body {
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font-family: Arial, sans-serif;
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font-size: 14px;
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text-align: center;
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margin: 0; /* Remove default margin */
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min-height: 100vh; /* Ensure full viewport height coverage */
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display: flex;
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flex-direction: column;
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}
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.container {
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border: none;
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padding: 5px;
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width: 300px;
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margin: auto;
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border-radius: 10px;
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overflow: hidden;
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flex: 1; /* Take up remaining vertical space */
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display: flex;
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flex-direction: column;
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}
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.header {
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background-color: black;
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color: white;
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padding: 10px;
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font-weight: bold;
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border-top-left-radius: 10px;
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border-top-right-radius: 10px;
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}
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.content {
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flex: 1;
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padding: 10px;
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}
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.definition {
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background-color: #ccffcc;
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border-radius: 10px;
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padding: 10px;
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margin-bottom: 10px;
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}
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.guidelines {
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background-color: #ffffcc;
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border-radius: 10px;
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padding: 10px;
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margin-bottom: 10px;
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}
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.footer {
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background-color: black;
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color: white;
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padding: 10px;
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font-weight: bold;
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border-bottom-left-radius: 10px;
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border-bottom-right-radius: 10px;
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}
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</style>
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</head>
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<p>Return a JSON list of instances of this Named Entity type. Return an empty list if no instances are present.</p>
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<p><b>[/INST]</b></p>
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</div>
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<div class="footer">Footer content</div>
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</div>
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</body>
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</html>
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Currently existing approaches fine-tune on an extensive number of entity classes (around 13K) and assess zero-shot NER capabilities on Out-Of-Distribution input domains.
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SLIMER performs comparably to these state-of-the-art models on OOD input domains, while being trained only a reduced number of samples and a set of NE tags that overlap in lesser degree with test sets.
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