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<!DOCTYPE html>
<html>
<head>
	<meta charset="utf-8">
	<title>Neural Coreference – Hugging Face</title>
	<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=no">
	<link rel="stylesheet" href="dist/style.css">
	<meta property="og:url"    content="https://huggingface.co/coref/">
	<meta property="og:image"  content="https://huggingface.co/coref/assets/thumbnail-large.png">
	<meta property="fb:app_id" content="1321688464574422">
	<meta name="description"   content="This is a demo of Neuralcoref, our state-of-the-art neural coreference resolution system.">
</head>
<body>
	<div class="header">
		<div class="input-wrapper">
			<form class="js-form">
				<div class="wrapper-inner">
					<div class="input-message-wrapper">
						<input class="input-message" type="text" name="text" placeholder="Your sentence here..." autocomplete="off" autofocus>
					</div>
					<button class="input-button c-input__button">
						<svg aria-hidden="true" viewBox="0 0 20 20" width="20" height="20" fill="currentColor" class="o-icon c-input__button__icon">
							<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="assets/icons.svg#icon-search"></use>
						</svg>
						<svg aria-hidden="true" viewBox="0 0 20 20" width="20" height="20" fill="currentColor" class="o-icon c-input__button__spinner">
							<use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="assets/icons.svg#icon-spinner"></use>
						</svg>
					</button>
				</div>
			</form>
		</div>
		<div class="menu-button js-checkbox">
			Debug 
			<img class="svg-checkbox js-checkbox-off" src="assets/checkbox-off.svg">
			<img class="svg-checkbox js-checkbox-on hide" src="assets/checkbox-on.svg">
		</div>
		
		<div class="menu-button logo">
			<a target="_blank" href="https://huggingface.co">
				<img class="svg-logo" src="assets/icon.svg">
			</a>
		</div>
	</div>
	
	<div class="container-wrapper">
		<svg class="svg-container"></svg>
		<div class="container"></div>
	</div>
	
	<div class="footer">
		<div class="footline"></div>
		<div class="description">
			<p>This is a demo of our State-of-the-art neural coreference resolution system. 
			The open source code for <a target="_blank" href="https://github.com/huggingface/neuralcoref">Neural coref</a>, 
			our coreference system based on neural nets and spaCy, is <a target="_blank" href="https://github.com/huggingface/neuralcoref">on Github</a>, 
			and we explain in our Medium publication <a target="_blank" href="https://medium.com/huggingface/state-of-the-art-neural-coreference-resolution-for-chatbots-3302365dcf30">how the model works</a>
			and <a target="_blank" href="https://medium.com/huggingface/how-to-train-a-neural-coreference-model-neuralcoref-2-7bb30c1abdfe">how to train it</a>.</p>
			<p>In short, coreference is the fact that two or more expressions in a text – like pronouns or nouns – link to the same person or thing. 
			It is a classical Natural language processing task, that has seen a revival of interest in the past 
			two years as several research groups applied cutting-edge deep-learning and reinforcement-learning techniques to it.
			It is also one of the key building blocks to building conversational Artificial intelligences. 
			If you like this demo please <a target="_blank" href="https://twitter.com/intent/tweet?url=https%3A%2F%2Fhuggingface.co%2Fcoref&via=julien_c%20%40betaworks">tweet about it</a> 👍.</p>
			<p><a href="https://twitter.com/share" class="twitter-share-button" data-show-count="false" data-via="julien_c @betaworks">Tweet</a><script async src="//platform.twitter.com/widgets.js" charset="utf-8"></script></p>
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