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JCDL/ICADL 2010 Report

JCDL/ICADL 2010 Report. Kazunari Sugiyama 9 th July, 2010. Outline of JCDL/ICADL 2010. Venue Gold Coast, Queensland, Australia. Outline of JCDL/ICADL 2010. Acceptance ratio Full paper: 29.1% (32/110) Short paper: 28.9% (13/45) Attendees 206 people Next JCDL and ICADL

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JCDL/ICADL 2010 Report

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  1. JCDL/ICADL 2010 Report Kazunari Sugiyama 9th July, 2010

  2. Outline of JCDL/ICADL 2010 • Venue • Gold Coast, Queensland, Australia

  3. Outline of JCDL/ICADL 2010 • Acceptance ratio • Full paper: 29.1% (32/110) • Short paper: 28.9% (13/45) • Attendees • 206 people • Next JCDL and ICADL • JCDL: Ottawa, Canada, June 2011 • ICADL: Beijing, China, Oct 2011

  4. Paper Introduction “Context Identification of Sentences in Related Work Sections using a Conditional Random Field: Towards Intelligent Digital Libraries” M. A. Angrosh, S. Cranefield, N. Stanger (University of Otago, New Zealand)

  5. Aim • Context identification and sentence classification with Conditional Random Field (CRF) • Target sentences • Sentences in related work sections • Features • Citation features • Sentence features

  6. Rhetorical Pattern in Related Work Section

  7. Their defined classes • Background • Background (BG) • Citation sentences • Related work description – Citation sentence (RWD_CS) • Related work outcome – Citation sentence (RWO_CS) • Related work strength – Citation sentence (RWS_CS) • Description sentences • Related work description (RWD) • Related work outcome (RWO) • Related work strength (RWS) • Research gap sentences • Related work shortcoming (RWSC) • Contrasting work for other work (CWOW) • Alternate approaches • Alternate work for a related work – Citation sentence (AWRW_CS) • Alternate approach to a related work (AARW) • Current work • Current work outcome (CWO) • Current work shortcoming (CWSC)

  8. Features • Citation features • The presence of citation in sentences • Sentence features • The presence of certain terms • Background terms • “This section presents an overview of …” ‘overview,’ ‘most research,’ ‘many researchers,’ … • Strength terms • Mainly describe the strength of cited works ‘improve,’ ‘better,’ ‘performance,’ ‘aids,’ …

  9. Experiments • Dataset • 50 research articles randomly selected from the Lecture Notes in Computer Science (LNCS) • 1063 sentences in total • Evaluation measures • Precision • Recall • F

  10. Experimental Results

  11. Summary of this paper • Proposed an approach classification of sentences in related work sections • Use CRF to achieve this goal • Effective in using both citation and sentence features

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