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<Paper uid="I05-3013">
  <Title>NIL Is Not Nothing: Recognition of Chinese Network Informal Language Expressions</Title>
  <Section position="8" start_page="101" end_page="101" type="concl">
    <SectionTitle>
7 Conclusions and Future Works
</SectionTitle>
    <Paragraph position="0"> Network informal language processing is a new NLP research application, which seeks to recognize and normalize NIL expressions automatically in a robust and adaptive manner. This research is crucial to improve capability of NLP techniques in dealing with NIL text. With empirical study on Chinese network informal text and NIL expressions, we propose two NIL expression recognition methods, i.e. pattern matching and support vector machines. The experimental results show that PM method produces higher precision, i.e. 91.5%, and SVM method higher F-1 measure, i.e. 87.1%.</Paragraph>
    <Paragraph position="1"> These results are encouraging and justify our future research effort in NIL processing.</Paragraph>
    <Paragraph position="2"> Research presented in this paper is preliminary but significant. We address future works as follow.</Paragraph>
    <Paragraph position="3"> Firstly, NIL corpus constructed in our work is fundamental. Not only will difficulty in seeking for text resource be overcome, but a large quantity of manpower will be allocated to this laborious and significant work. Secondly, new NIL expressions will appear constantly with booming of network-mediated communication. A powerful NIL expression recognizer will be designed to improve adaptivity of the recognition methods and handle the unseen NIL expressions effectively. Finally, we state that research in this paper targets in special at NIL expressions in China mainland. Due to cultural/geographical variance, NIL expressions in Hong Kong and Taiwan could be different. Further research will be conducted to adapt our methods to other NIL communities.</Paragraph>
  </Section>
class="xml-element"></Paper>