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

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

4. 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

5. 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)

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

7. Rhetorical Pattern in Related Work Section

8. 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)

9. 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,’ …

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

11. Experimental Results

12. 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