In-text citation analysis is one of the most frequently used methods in research evaluation.
We are seeing significant growth in citation analysis through bibliometric metadata, primarily …

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 …

The exponential growth in the number of scientific articles has made it difficult for the
researchers to keep themselves updated with the new developments. Scientific document …

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 …

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 …

The extraction of information from the extensive volume of online textual data poses a
significant challenge, and text summarization plays a pivotal role in overcoming this …

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 …

This paper describes our methods and experiments applied for CLSciSumm-17. We try
Convolutional Neural Network, word vectors and sentence similarities for citation linkage …

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