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pythonannotation-tooldatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learning
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77 lines
1.9 KiB
77 lines
1.9 KiB
<template>
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<section>
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<v-parallax
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src="/images/vbanner.jpg"
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height="400"
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dark
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>
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<v-container>
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<v-layout
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wrap
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align-center
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justify-center
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class="white--text"
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>
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<v-flex
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xs12
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md7
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>
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<v-img
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src="/images/ner_demo.png"
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max-height="380"
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contain
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class="ma-5"
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/>
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</v-flex>
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<v-flex
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xs12
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md5
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>
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<h1 class="mb-2 display-1 text-xs-center">
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Realize your ideas quickly
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</h1>
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<div class="mt-4">
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<v-menu open-on-hover offset-y>
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<template v-slot:activator="{ on }">
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<v-btn
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v-on="on"
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class="blue lighten-2"
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dark
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large
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>
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Try demo
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<v-icon>mdi-menu-down</v-icon>
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</v-btn>
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</template>
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<v-list>
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<v-list-item
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v-for="(item, index) in items"
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:key="index"
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@click="$router.push('/demo/' + item.link)"
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>
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<v-list-item-title>{{ item.title }}</v-list-item-title>
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</v-list-item>
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</v-list>
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</v-menu>
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</div>
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</v-flex>
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</v-layout>
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</v-container>
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</v-parallax>
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</section>
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</template>
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<script>
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export default {
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data() {
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return {
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items: [
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{ title: 'Named Entity Recognition', link: 'named-entity-recognition' },
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{ title: 'Sentiment Analysis', link: 'sentiment-analysis' },
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{ title: 'Translation', link: 'translation' },
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{ title: 'Text to SQL', link: 'text-to-sql' }
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]
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}
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}
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}
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</script>
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