This overview describes the official results of the CL-SciSumm Shared Task 2018--the first
medium-scale shared task on scientific document summarization in the computational …

The CL-SciSumm Shared Task is the first medium-scale shared task on scientific document
summarization in the computational linguistics~(CL) domain. In 2019, it comprised three …

We present our approach for the identification of cited text spans in scientific literature, using
pre-trained encoders (BERT) in combination with different neural networks. We further …

Scientific articles often include in-text citations quoting from external sources. When the cited
source is an article, the citation context can be analyzed by exploring the article full-text. To …

This paper introduces IR&TM-NJUST system submitted in CL-SciSumm 2019 Shared Task
at BIRNDL 2019 Workshop. Overall, there are three basic tasks. Task 1A is to identify cited …

Scientific summarization aims to provide condensed summary of important contributions of
scientific papers. This problem has been extensively explored and recent interest has been …

[Objective] This paper proposes a new algorithm to identify the cited contents, aiming to
address the issues facing the existing unsupervised models and extend the granularity of …

Automatic research paper summarization is a fairly interesting topic that has garnered
significant interest in the research community in recent years. In this paper, we introduce …

Automatic research paper summarization is a fairly interesting topic that has garnered
significant interest in the research community in recent years. In this paper, we introduce …