The rapid growth of scientific literature has made it difficult for the researchers to quickly
learn about the developments in their respective fields. Scientific summarization addresses …

The CL-SciSumm 2016 Shared Task is the first medium-scale shared task on scientific
document summarization in the computational linguistics (CL) domain. The task built off of …

We describe the participation and the official results of the 2nd Computational Linguistics
Scientific Summarization Shared Task (CL-SciSumm), held as a part of the BIRNDL …

This paper introduces NJUST system which is submitted in CL-SciSumm 2018 Shared Task
at BIRNDL 2018 Workshop. The training corpus contains 40 articles which are created by …

Recently, a new form of structured summary on scientific papers is explored by grou**
cited text spans from the reference paper. Its primary goal is to generate summaries based …

The number of publications is rapidly growing and it is essential to enable fast access and
analysis of relevant articles. In this paper, we describe a set of methods based on measuring …

We consider the three interesting problems posed by the CL-SciSumm series of shared
tasks. Given a reference document D and a set C_D CD of citances for D:(1) find the span of …

Feature Maximization is a feature selection method that deals efficiently with textual data: to
design systems that are altogether language-agnostic, parameter-free and do not require …

This work demonstrates how neural network models (NNs) can be exploited toward
resolving citation links in the scientific literature, which involves locating passages in the …

In this paper we present our methods and their results on the CL-SciSumm tasks of 2018. In
this round, for Task 1A, we tried deep learning methods, a variation of the Positional …