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            <name>Title</name>
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                <text>Conference Papers</text>
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    <name>Conference Paper</name>
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          <name>Title</name>
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              <text>Building an Industry Standard Novel Language Model Using Named Entities</text>
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              <text>CTC(Connectionist Temporal Classification); FSM(Finite State Machine); LM(Language Model); NER(Named Entity Recognition); NLP(Natural Language Processing); PTB(Pen Tree Bank)</text>
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              <text>In every Industry, there is a significant amount of text used in their specific domains. As these are less prevalent in the testing set, anticipating entity names in a language model is a problem faced by the entire industry. In this research a unique and very effective strategy for creating exclusionary classification models that could map entity names based on entity type information is provided. A group of benchmark datasets based on Mortgage is presented, which we used to test the below-presented model. According to experimental findings, our model achieves a perplexity level that is 64% higher than that of the most advanced language models.   2022 IEEE.</text>
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          <name>Creator</name>
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              <text>Ananth K.; Kirubanand V.B.</text>
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              <text>2022 International Conference on Trends in Quantum Computing and Emerging Business Technologies, TQCEBT 2022</text>
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          <name>Publisher</name>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>2022-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1109/TQCEBT54229.2022.10041678" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/TQCEBT54229.2022.10041678&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149177678&amp;amp;doi=10.1109%2FTQCEBT54229.2022.10041678&amp;amp;partnerID=40&amp;amp;md5=8b883391cc85d667ad3de2b63c34d38a" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149177678&amp;amp;doi=10.1109%2fTQCEBT54229.2022.10041678&amp;amp;partnerID=40&amp;amp;md5=8b883391cc85d667ad3de2b63c34d38a&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISBN: 978-166545361-5</text>
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              <text>Online</text>
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          <name>Language</name>
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              <text>English</text>
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              <text>Ananth K., CHRIST (Deemed to Be University), Department of Computer Science, India; Kirubanand V.B., CHRIST (Deemed to Be University), Department of Computer Science, India</text>
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