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2020.finnlp.xml
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<?xml version='1.0' encoding='UTF-8'?>
<collection id="2020.finnlp">
<volume id="1" ingest-date="2020-06-30">
<meta>
<booktitle>Proceedings of the Second Workshop on Financial Technology and Natural Language Processing</booktitle>
<editor><first>Chung-Chi</first><last>Chen</last></editor>
<editor><first>Hen-Hsen</first><last>Huang</last></editor>
<editor><first>Hiroya</first><last>Takamura</last></editor>
<editor><first>Hsin-Hsi</first><last>Chen</last></editor>
<publisher>-</publisher>
<address>Kyoto, Japan</address>
<month>5 January</month>
<year>2020</year>
<url hash="dd896bf8">2020.finnlp-1</url>
</meta>
<frontmatter>
<url hash="c84388c2">2020.finnlp-1.0</url>
</frontmatter>
<paper id="1">
<title>Financial News Annotation by Weakly-Supervised Hierarchical Multi-label Learning</title>
<author><first>Hang</first><last>Jiang</last></author>
<author><first>Zhongchen</first><last>Miao</last></author>
<author><first>Yuefeng</first><last>Lin</last></author>
<author><first>Chenyu</first><last>Wang</last></author>
<author><first>Mengjun</first><last>Ni</last></author>
<author><first>Jian</first><last>Gao</last></author>
<author><first>Jidong</first><last>Lu</last></author>
<author><first>Guangwei</first><last>Shi</last></author>
<pages>1–7</pages>
<url hash="9e8c9c8e">2020.finnlp-1.1</url>
</paper>
<paper id="2">
<title>Variations in Word Usage for the Financial Domain</title>
<author><first>Syrielle</first><last>Montariol</last></author>
<author><first>Alexandre</first><last>Allauzen</last></author>
<author><first>Asanobu</first><last>Kitamoto</last></author>
<pages>8–14</pages>
<url hash="558bff4b">2020.finnlp-1.2</url>
</paper>
<paper id="3">
<title>Detecting Omissions of Risk Factors in Company Annual Reports</title>
<author><first>Corentin</first><last>Masson</last></author>
<author><first>Syrielle</first><last>Montariol</last></author>
<pages>15–21</pages>
<url hash="e21e2a80">2020.finnlp-1.3</url>
</paper>
<paper id="4">
<title>A Semantic Approach to Financial Fundamentals</title>
<author><first>Jiafeng</first><last>Chen</last></author>
<author><first>Suproteem</first><last>Sarkar</last></author>
<pages>22–26</pages>
<url hash="a7274ceb">2020.finnlp-1.4</url>
</paper>
<paper id="5">
<title>Learning Company Embeddings from Annual Reports for Fine-grained Industry Characterization</title>
<author><first>Tomoki</first><last>Ito</last></author>
<author><first>Jose Camacho</first><last>Collados</last></author>
<author><first>Hiroki</first><last>Sakaji</last></author>
<author><first>Steven</first><last>Schockaert</last></author>
<pages>27–33</pages>
<url hash="a269f272">2020.finnlp-1.5</url>
</paper>
<paper id="6">
<title>Unsupervised Discovery of Firm-Level Variables in Earnings Call Transcript Embeddings</title>
<author><first>Daniel</first><last>Edmiston</last></author>
<author><first>Ziho</first><last>Park</last></author>
<pages>34–39</pages>
<url hash="d686f6ab">2020.finnlp-1.6</url>
</paper>
<paper id="7">
<title>Using Extractive Lexicon-based Sentiment Analysis to Enhance Understanding ofthe Impact of Non-<fixed-case>GAAP</fixed-case> Measures in Financial Reporting</title>
<author><first>Stacey</first><last>Taylor</last></author>
<author><first>Vlado</first><last>Keselj</last></author>
<pages>40–46</pages>
<url hash="b77d6bfd">2020.finnlp-1.7</url>
</paper>
<paper id="8">
<title><fixed-case>F</fixed-case>in<fixed-case>SBD</fixed-case>-2020: The 2nd Shared Task on Sentence Boundary Detection in Unstructured Text in the Financial Domain</title>
<author><first>Willy</first><last>Au</last></author>
<author><first>Bianca</first><last>Chong</last></author>
<author><first>Abderrahim Ait</first><last>Azzi</last></author>
<author><first>Dialekti</first><last>Valsamou-Stanislawski</last></author>
<pages>47–54</pages>
<url hash="f8d8ee6c">2020.finnlp-1.8</url>
</paper>
<paper id="9">
<title><fixed-case>P</fixed-case>ublish<fixed-case>I</fixed-case>n<fixed-case>C</fixed-case>ovid19 at the <fixed-case>F</fixed-case>in<fixed-case>SBD</fixed-case>-2 Task: Sentence and List Extraction in Noisy <fixed-case>PDF</fixed-case> Text Using a Hybrid Deep Learning and Rule-Based Approach</title>
<author><first>Janvijay</first><last>Singh</last></author>
<pages>55–61</pages>
<url hash="46323299">2020.finnlp-1.9</url>
</paper>
<paper id="10">
<title>aiai at the <fixed-case>F</fixed-case>in<fixed-case>SBD</fixed-case>-2 Task: Sentence, list and Item Boundary Detection and Items classification of Financial Texts Using Data Augmentation and Attention</title>
<author><first>Ke</first><last>Tian</last></author>
<author><first>Hua</first><last>Chen</last></author>
<author><first>Jie</first><last>Yang</last></author>
<pages>62–66</pages>
<url hash="c993dfa1">2020.finnlp-1.10</url>
</paper>
<paper id="11">
<title>Daniel at the <fixed-case>F</fixed-case>in<fixed-case>SBD</fixed-case>-2 Task: Extracting List and Sentence Boundaries from <fixed-case>PDF</fixed-case> Documents, a model-driven approach to <fixed-case>PDF</fixed-case> document analysis</title>
<author><first>Emmanuel</first><last>Giguet</last></author>
<author><first>Gaël</first><last>Lejeune</last></author>
<pages>67–74</pages>
<url hash="87bc4176">2020.finnlp-1.11</url>
</paper>
<paper id="12">
<title>Subtl.ai at the <fixed-case>F</fixed-case>in<fixed-case>SBD</fixed-case>-2 task: Document Structure Identification by Paying Attention</title>
<author><first>Abhishek</first><last>Arora</last></author>
<author><first>Aman</first><last>Khullar</last></author>
<author><first>Sarath Chandra</first><last>Pakala</last></author>
<author><first>Vishnu</first><last>Ramesh</last></author>
<author><first>Manish</first><last>Shrivastava</last></author>
<pages>75–80</pages>
<url hash="2d52931c">2020.finnlp-1.12</url>
</paper>
<paper id="13">
<title>The <fixed-case>F</fixed-case>in<fixed-case>S</fixed-case>im 2020 Shared Task: Learning Semantic Representations for the Financial Domain</title>
<author><first>Ismail El</first><last>Maarouf</last></author>
<author><first>Youness</first><last>Mansar</last></author>
<author><first>Virginie</first><last>Mouilleron</last></author>
<author><first>Dialekti</first><last>Valsamou-Stanislawski</last></author>
<pages>81–86</pages>
<url hash="bce6cf17">2020.finnlp-1.13</url>
</paper>
<paper id="14">
<title><fixed-case>IITK</fixed-case> at the <fixed-case>F</fixed-case>in<fixed-case>S</fixed-case>im Task: Hypernym Detection in Financial Domain via Context-Free and Contextualized Word Embeddings</title>
<author><first>Vishal</first><last>Keswani</last></author>
<author><first>Sakshi</first><last>Singh</last></author>
<author><first>Ashutosh</first><last>Modi</last></author>
<pages>87–92</pages>
<url hash="a50c502a">2020.finnlp-1.14</url>
</paper>
<paper id="15">
<title>Anuj at the <fixed-case>F</fixed-case>in<fixed-case>S</fixed-case>im Task: Anuj@<fixed-case>FINSIM</fixed-case>¡<fixed-case>VL</fixed-case>earning Semantic Representation of Financial Domain with Investopedia</title>
<author><first>Anuj</first><last>Saini</last></author>
<pages>93–97</pages>
<url hash="91057920">2020.finnlp-1.15</url>
</paper>
<paper id="16">
<title><fixed-case>P</fixed-case>rosper<fixed-case>AM</fixed-case>net at the <fixed-case>F</fixed-case>in<fixed-case>S</fixed-case>im Task: Detecting hypernyms of financial concepts via measuring the information stored in sparse word representations</title>
<author><first>Gábor</first><last>Berend</last></author>
<author><first>Norbert</first><last>Kis-Szabó</last></author>
<author><first>Zsolt</first><last>Szántó</last></author>
<pages>98–103</pages>
<url hash="a974ac5b">2020.finnlp-1.16</url>
</paper>
<paper id="17">
<title><fixed-case>FINSIM</fixed-case>20 at the <fixed-case>F</fixed-case>in<fixed-case>S</fixed-case>im Task: Making Sense of Text in Financial Domain</title>
<author><first>Vivek</first><last>Anand</last></author>
<author><first>Yash</first><last>Agrawal</last></author>
<author><first>Aarti</first><last>Pol</last></author>
<author><first>Vasudeva</first><last>Varma</last></author>
<pages>104–107</pages>
<url hash="b6539356">2020.finnlp-1.17</url>
</paper>
</volume>
</collection>