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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Conference Papers</text>
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    <name>Conference Paper</name>
    <description>Faculty Publications- Conference Papers</description>
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      <name>Dublin Core</name>
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        <element elementId="50">
          <name>Title</name>
          <description>A name given to the resource</description>
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            <elementText elementTextId="188502">
              <text>Polynomial time learner for inferring subclasses of internal contextual grammars with local maximum selectors</text>
            </elementText>
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        <element elementId="49">
          <name>Subject</name>
          <description>The topic of the resource</description>
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            <elementText elementTextId="188503">
              <text>Identification in the limit from positive data; Internal contextual grammar with local maximum selectors</text>
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          <name>Description</name>
          <description>An account of the resource</description>
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              <text>Natural languages contain regular, context-free, and context-sensitive syntactic constructions, yet none of these classes of formal languages can be identified in the limit from positive examples. Mildly context-sensitive languages are capable to represent some context-sensitive constructions such as multiple agreement, crossed agreement, and duplication. These languages are important for natural language applications due to their expressiveness, and the fact that they are not fully context-sensitive. In this paper, we present a polynomial-time algorithm for inferring subclasses of internal contextual languages using positive examples only, namely strictly and k-uniform internal contextual languages with local maximum selectors which can contain mildly context-sensitive languages.  2017, Springer International Publishing AG.</text>
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        <element elementId="39">
          <name>Creator</name>
          <description>An entity primarily responsible for making the resource</description>
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            <elementText elementTextId="188505">
              <text>Midya A.; Thomas D.G.; Malik S.; Pani A.K.</text>
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        <element elementId="48">
          <name>Source</name>
          <description>A related resource from which the described resource is derived</description>
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            <elementText elementTextId="188506">
              <text>Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol-10580 LNCS, pp. 174-191.</text>
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          <name>Publisher</name>
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            <elementText elementTextId="188507">
              <text>Springer Verlag</text>
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          <name>Date</name>
          <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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            <elementText elementTextId="188508">
              <text>2017-01-01</text>
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          <name>Identifier</name>
          <description>An unambiguous reference to the resource within a given context</description>
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              <text>&lt;a href="https://doi.org/10.1007/978-3-319-67729-3_11" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-3-319-67729-3_11&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031409842&amp;amp;doi=10.1007%2F978-3-319-67729-3_11&amp;amp;partnerID=40&amp;amp;md5=df0fb54e8a42d36f7d7fe1bb53171f46" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031409842&amp;amp;doi=10.1007%2f978-3-319-67729-3_11&amp;amp;partnerID=40&amp;amp;md5=df0fb54e8a42d36f7d7fe1bb53171f46&lt;/a&gt;</text>
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          <name>Rights</name>
          <description>Information about rights held in and over the resource</description>
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            <elementText elementTextId="188510">
              <text>Restricted Access</text>
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          </elementTextContainer>
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        <element elementId="46">
          <name>Relation</name>
          <description>A related resource</description>
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            <elementText elementTextId="188511">
              <text>ISSN: 3029743; ISBN: 978-331967728-6</text>
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          <name>Format</name>
          <description>The file format, physical medium, or dimensions of the resource</description>
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              <text>Online</text>
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          </elementTextContainer>
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          <name>Language</name>
          <description>A language of the resource</description>
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              <text>English</text>
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          </elementTextContainer>
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          <name>Type</name>
          <description>The nature or genre of the resource</description>
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              <text>Conference paper</text>
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          </elementTextContainer>
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          <name>Coverage</name>
          <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <text>Midya A., Computer Science and Engineering, Icfai Tech School, Hyderabad, 501203, India; Thomas D.G., Department of Mathematics, Madras Christian College, Chennai, 600059, India; Malik S., Computer Science and Engineering, Alliance University, Bangalore, 562106, India; Pani A.K., Computer Science and Engineering, Faculty of Engineering, Christ University, Bangalore, 560074, India</text>
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