WING-NUS submission at CL-SciSumm 2017. This is the code used for experiment. The work proposes pair-wise ranking model instread of classification or retrival model.
Related Publication(s):
@InProceedings{prasad:2017:CL-SciSumm,
author = {Prasad, Animesh},
title={WING-NUS at CL-SciSumm 2017: Learning from Syntactic and Semantic Similarity for Citation Contextualization},
booktitle = {Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries},
month = {August},
year = {2017},
address = {Tokyo, Japan},
publisher = {CEUR},
pages = {26–32},
url = {http://ceur-ws.org/Vol-2002/nusclscisumm2017.pdf}
}