This article summarizes the research on computational methods to detect academic
plagiarism by systematically reviewing 239 research papers published between 2013 and …

Data and software are immaterial. Scientists in computer science hence have the unique
chance to let other scientists easily reproduce their findings. Similarly, and with the same …

The evaluation of artificial intelligence systems and components is crucial for the progress of
the discipline. In this paper we describe and critically assess the different ways AI systems …

We introduce a new pretraining approach geared for multi-document language modeling,
incorporating two key ideas into the masked language modeling self-supervised objective …

This paper presents the BUCC 2017 shared task on parallel sentence extraction from
comparable corpora. It recalls the design of the datasets, presents their final construction …

This paper reports on the PAN 2014 evaluation lab which hosts three shared tasks on
plagiarism detection, author identification, and author profiling. To improve the …

Plagiarism is a misconduct, which refers to the use of scientific and literary content contained
in other sources without reference to them. Today, the rise of plagiarism has become a …

Cross-language plagiarism detection aims to detect plagiarised fragments of text among
documents in different languages. In this paper, we perform a systematic examination of …

We study the problem of automatic fact-checking, paying special attention to the impact of
contextual and discourse information. We address two related tasks:(i) detecting check …

This paper proposed an artificial bee colony optimization (ABC) algorithm based
despeckling framework to overcome the effect of speckle noise present in real ultrasound …