1 / 12

JCDL/ICADL 2010 Report

This report outlines the JCDL/ICADL 2010 conference held at the Gold Coast, Queensland, Australia. The acceptance ratios for full and short papers were 29.1% and 28.9%, respectively, with a total of 206 attendees. Highlighted in this report is the research by M.A. Angrosh and colleagues on employing Conditional Random Field (CRF) models to classify sentences in related work sections of research papers. The study emphasizes the importance of citation and sentence features and presents experimental results, demonstrating effective classification methodologies aimed at enhancing digital library intelligence.

hedwig-phillips
Télécharger la présentation

JCDL/ICADL 2010 Report

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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

More Related