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<?xml version="1.0" standalone="yes"?> <Paper uid="W06-2937"> <Title>The Exploration of Deterministic and Efficient Dependency Parsing</Title> <Section position="7" start_page="244" end_page="244" type="concl"> <SectionTitle> 5 Conclusion and Future Remarks </SectionTitle> <Paragraph position="0"> Dependency parsing is one of the most important issues in NLP community. This paper presents and analyzes the impact of the efficient parsing model that only combines with lexical and part-of-speech information. To go language-independent, we did not tune any parameter settings in our model and exclude most of the language-dependent feature set, which provided by the CoNLL (Buchholz et al., 2006). The main focus of our work coincides with the target goal of the CoNLL shared task, i.e., go multilingual dependency parsing without taking the language-specific knowledge into account. A future work on the deterministic parsing strategy is to convert the existing model toward N-best parsing. null</Paragraph> </Section> class="xml-element"></Paper>