<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1405-5546</journal-id>
<journal-title><![CDATA[Computación y Sistemas]]></journal-title>
<abbrev-journal-title><![CDATA[Comp. y Sist.]]></abbrev-journal-title>
<issn>1405-5546</issn>
<publisher>
<publisher-name><![CDATA[Instituto Politécnico Nacional, Centro de Investigación en Computación]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-55462017000400627</article-id>
<article-id pub-id-type="doi">10.13053/cys-21-4-2853</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Sentence Similarity Computation based on WordNet and VerbNet]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Wali]]></surname>
<given-names><![CDATA[Wafa]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Gargouri]]></surname>
<given-names><![CDATA[Bilel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Hamadou]]></surname>
<given-names><![CDATA[Abdelmajid Ben]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,MIRACL Laboratory  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Tunisia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,MIRACL Laboratory  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Tunisia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2017</year>
</pub-date>
<volume>21</volume>
<numero>4</numero>
<fpage>627</fpage>
<lpage>635</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462017000400627&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462017000400627&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462017000400627&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: Sentence similarity computing is increasingly growing in several applications, such as question answering, machine-translation, information retrieval and automatic abstracting systems. This paper firstly sums up several methods to calculate similarity between sentences which consider semantic and syntactic knowledge. Second, it presents a new method for the sentence similarity measure that aggregates, in a linear function, three components: the Lexical similarity Lexsim including the common words, the semantic similarity SemSim using the synonymy words and the syntactico-semantic similarity SynSemSim based on common semantic arguments, notably, thematic role and semantic class. Concerning the word-based semantic similarity, a measure is computed to estimate the semantic degree between words by exploiting the WordNet &#8221;is a&#8221; taxonomy. Moreover, the semantic argument determination is based on the VerbNet database. The proposed method yielded competitive results compared to previously proposed measures and with regard to the Li&#8217;s benchmark, which shown a high correlation with human ratings. Furthermore, experiments performed on the Microsoft Paraphrase Corpus showed the best F-measure values compared to other measures for high similarity thresholds.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Sentence similarity]]></kwd>
<kwd lng="en"><![CDATA[syntactico-semantic similarity]]></kwd>
<kwd lng="en"><![CDATA[thematic role]]></kwd>
<kwd lng="en"><![CDATA[semantic class]]></kwd>
<kwd lng="en"><![CDATA[WordNet]]></kwd>
<kwd lng="en"><![CDATA[VerbNet]]></kwd>
</kwd-group>
</article-meta>
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