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<!DOCTYPE HTML>
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<html>
<head>
<title>Fintech Key-Phrase (albert-jin)</title>
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<h1>Fintech Key-Phrase</h1>
<p>a Chinese Financial & High-tech Dataset Accelerating the domain-specific Information Retrieval task<br />
built by <a href="https://orcid.org/0000-0002-3651-0702">@biaozhao</a> & <a href="https://orcid.org/0000-0002-6656-6061">@weiqiangjin<br />
<a href="https://ror.org/017zhmm22">XI'AN JIAO TONG UNIVERSITY</a>, <a href="http://en.xjtu.edu.cn/">(XJTU)</a>
<br /> </a> Github: <a href="https://github.com/albert-jin/Fintech-Key-Phrase">https://github.com/albert-jin/Fintech-Key-Phrase</a>.</p>
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<li><a href="#intro" class="active">Introduction</a></li>
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<h2>Fintech Key-Phrase</h2>
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<p>We propose a new dataset, Chinese Financial & High-tech Dataset (<b>Fintech Key-Phrase</b>) in Information Retrieval, which is derived from the publicly released Chinese Management’s Discussion and Analysis (CMD&A). To the best of our knowledge, together with more than 1.2K human-annotated instances, <b>Fintech Key-Phrase</b> is the largest also reliable Chinese benchmark for the Expression-level Information Extraction task.</p>
<span ><img style="height: 628px;width: 1266px" src="images/dataset_screenshot.PNG" alt="" /></span>
<header class="major">
<h2>DataSet Statistics</h2>
</header>
<p>The High-tech CMD&A annual reports we collect are total more than 16,600 documents, and the documents have recorded up to 2692 different companies' annual business reports. The high-technology CMD&A documents contains about 11171 words in average, the maximum length and the minimum length in the documents is 115 and 32006, respectively.</p>
<p>The below Figure describes the statistics of the document lengths and the document released time in different interval.</p>
<span ><img style="height: 465px;width: 830px" src="images/corpus_stats.PNG" alt="" /></span>
<header class="major">
<h2>Train & Test Set Split</h2>
</header>
<p>The training set we split contains annotated more than 35,884 Fin-tech domain key-phrases which contains 11,434 different key-phrases after removing duplicated phrases, and the test set contains more than 1769 Fin-tech key-phrases which contains 1,439 different key-phrases after removing duplicated phrases.</p>
<p>The Figure below statistics the key-phrases' counts of different length segment intervals.</p>
<span ><img style="height: 465px;width: 830px" src="images/phrase_len_stats.PNG" alt="" /></span>
<p>From the statistics, we can obviously observe that the majority of Fin-tech domain key-phrases are scattered in the length range from 1 to 6, within a smart part of key-phrases whose length is more than 7. This observation indicate that, generally, the key-phrases in which the financial experts are interested is short and simply.</p>
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<h2>Real-time Model Prediction</h2>
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<h3>BERT-Linear</h3>
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<h3>BERT-CRF</h3>
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<h3>BERT-BiLSTM-CRF</h3>
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<h2>Released Application Programming Interface (API)</h2>
<p>Introductions about the released API.</p>
<br/>
<span ><img style="height: 494px;width: 932px" src="images/api_intros.PNG" alt="" /></span>
<p>Hope you enjoy it !</p>
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<p class="content">.</p>
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<strong>10,0 </strong> Max Threading
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<strong>10,0 GB</strong> Max Capacity
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<strong>2048,0 KB</strong> Max Bandwidth
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<strong>10,0</strong> Max Connections
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<strong>498,0</strong> PageView Counts
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<h2>Conclusion and Perspective</h2>
<p style="text-align: left">1) We present a new dataset, named Chinese Financial & High-tech Based Key-Phrase (<b>Fintech Key-Phrase</b>), which can be regarded as the newest Expression-level Information Extraction benchmark in the Chinese Financial & High-tech specific domain. <br>2) We conduct comprehensive experiments by utilizing several <b>SOTA</b> approaches (Six Models which are shown in the "<b>Real-time Model Prediction</b>" part). Experiments demonstrate that our dataset can serve as solid baselines for future Information Extraction related researches. <br>3) In this website, we have released the well-trained SOTA models and corresponding APIs for extracting key-phrases in the Chinese Financial & High-tech specific domain. </p>
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<h2>Fintech Key-Phrase</h2>
<p>Our proposed <b>Fintech Key-Phrase</b> is a human-annotated Chinese financial and high-technology field related key-phrase dataset, which contains over more than 12K paragraphs together with the annotated domain-specific key-phrases. We hope this dataset can facilitate the scientific research and exploration in the Chinese cross-field of financial and high-technology.</p>
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<h2>Authors Info</h2>
<dl class="alt">
<dt>Affiliation</dt>
<dd>School of Information and Communications Engineering</dd>
<dt>College</dt>
<dd>Xi`an Jiaotong University</dd>
<dt>Address</dt>
<dd>Innovation Harbor, Xi'an, Shaanxi, China</dd>
<dt>Phone</dt>
<dd>(+86) 130-4061-7148</dd>
<dt>Email</dt>
<dd><a href="#">[email protected]</a></dd>
<dt>Postcode</dt>
<dd>710049</dd>
</dl>
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