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pythonannotation-tooldatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learning
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30 lines
1.2 KiB
30 lines
1.2 KiB
{% extends "annotation/annotation_base.html" %}
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{% load static %}
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{% block annotation-area %}
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<div class="card">
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<header class="card-header">
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<div class="card-header-title" style="padding:1.5rem;background-color:royalblue;">
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<div class="field is-grouped is-grouped-multiline">
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<div class="control" v-for="label in labels">
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<div class="tags has-addons">
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<a class="tag is-medium" v-bind:style="{ color: label.text_color, backgroundColor: label.background_color }" v-on:click="annotate(label.id)"
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v-shortkey.once="[ label.shortcut ]" @shortkey="annotate(label.id)">
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[[ label.text ]]
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</a>
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<span class="tag is-medium">[[ label.shortcut ]]</span>
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</div>
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</div>
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</div>
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</div>
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</header>
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<div class="card-content">
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<div class="content" v-if="docs[pageNumber] && annotations[pageNumber]">
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<annotator ref="annotator" v-bind:labels="labels" v-bind:entity-positions="annotations[pageNumber]" v-bind:text="docs[pageNumber].text"
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@remove-label="removeLabel" @add-label="addLabel"></annotator>
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</div>
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</div>
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</div>
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{% endblock %}
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{% block footer %}
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<script src="{% static 'bundle/sequence_labeling.js' %}"></script>
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{% endblock %}
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