<?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>S1405-55462017000400749</article-id>
<article-id pub-id-type="doi">10.13053/cys-21-4-2854</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Cause and Effect Extraction from Biomedical Corpus]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Gopalan]]></surname>
<given-names><![CDATA[Sindhuja]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Devi]]></surname>
<given-names><![CDATA[Sobha Lalitha]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Anna University  ]]></institution>
<addr-line><![CDATA[Chennai ]]></addr-line>
<country>India</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>749</fpage>
<lpage>757</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462017000400749&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462017000400749&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462017000400749&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: The objective of the present work is to automatically extract the cause and effect from discourse analyzed biomedical corpus. Cause-effect is defined as a relation established between two events, where first event acts as the cause of second event and the second event is the effect of first event. Any causative constructions need three components, a causal marker, cause and effect. In this study, we consider the automatic extraction of cause and effect realized by explicit discourse connective markers. We evaluated our system using BIONLP/NLPBA 2004 shared task test data and obtained encouraging results.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Discourse relation]]></kwd>
<kwd lng="en"><![CDATA[cause-effect]]></kwd>
<kwd lng="en"><![CDATA[discourse connective]]></kwd>
<kwd lng="en"><![CDATA[causal entity]]></kwd>
<kwd lng="en"><![CDATA[discourse parser]]></kwd>
<kwd lng="en"><![CDATA[named entity recognition]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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