In this paper, we present our system addressing Task 1 of CL-SciSumm Shared Task at BIRNDL 2016. Our system makes use of lexical and syntactic dependency cues, and applies rule-based approach to extract text spans in the Reference Paper that accurately reflect the citances. Further, we make use of lexical cues to identify discourse facets of the paper to which cited text belongs. The lexical and syntactic cues are obtained on pre-processed text of the citances, and the reference paper. We report our results obtained for development set using our system for identifying reference scope of citances in this paper. Keywords: Natural Language Processing, Syntactic Analysis, Scientific Document Summarisation, Bag of Words The scientific research community needs different viewpoints of research contributions in summarized form. Abstract of the research contribution presents summary from the author(s) perspective. Citations of a reference paper reflect the viewpoint of the citing authors for that reference paper, and possibly in a certain context only. Summary drawn for a reference paper from its citations can put forward a different and interesting context of that reference paper. There have been several efforts towards extracting reference scope of citances, and such citations-based summary in recent years like
REF employed lexical and syntactic dependency cues in writing rules to extract text spans in the RP for a given CP citance.
Lexical and Syntactic cues to identify Reference Scope of Citance
BIRNDL@JCDL
Computer Science