title: How to perform information extraction from news paper articles with a NLP library?
body: <p>I am doing university final year project, My task is to extract causalities from news containing crime. I need to extract also location of crime. I used OPENNLP name entity recognizer to extract location. I trained a model for location names and its working fine for my scenario till now. Now I am searching some thing(a way OR a library) to extract causality. Here is a snap shot of a news which i am using and the Bold and Italic text is that which I want to extract. Need help for a library for this purpose same like OPENNLP, or any thing which can be useful or me in order to perform this task.</p>
  
  <blockquote>
    <p>News 1:</p>
    
    <p>KARACHI: At least <strong><em>12 people were gunned down</em></strong> in the city on Monday, two of them
        apparently killed in sectarian attacks and one of the other victims a Muttahida Qaumi 
        Movement activist. </p>
    
    <p>News 2:</p>
    
    <p>KARACHI: Police on Tuesday <strong><em>arrested three accused</em></strong> in different raids at Gulistan-e-Jauhar and Brigade areas, Geo News reported.</p>
    
    <p>News 3: </p>
    
    <p>KARACHI: <strong><em>Five members of a family were found dead</em></strong> inside their house in Baldia Town here on Monday, Geo News reported.</p>
    
    <p>News 4:</p>
    
    <p>KARACHI: Sindh Rangers in their continued targeted operation in the city last night <strong><em>rounded up eight professional criminals</em></strong> and recovered weapons from them, Geo News reported.</p>
  </blockquote>