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

In general, people are usually more reluctant to follow advice and directions from politicians
who do not have their ideology. In extreme cases, people can be heavily biased in favour of …

Written text often provides sufficient clues to identify the author, their gender, age, and other
important attributes. Consequently, the authorship of training and evaluation corpora can …

Data privacy is one of the highly discussed issues in recent years as we encounter data
breaches and privacy scandals often. This raises a lot of concerns about the ways the data is …

It has been demonstrated that hidden representation learned by a deep model can encode
private information of the input, hence can be exploited to recover such information with …

With the recent progress made in network and computing technology, the ubiquity of data,
and textual repositories freely available, the scientific practice evolves towards a more data …

We address the problem of how to “obfuscate” texts by removing stylistic clues which can
identify authorship, whilst preserving (as much as possible) the content of the text. In this …

We describe our participation in the PAN 2017 shared task on Author Profiling, identifying
authors' gender and language variety for English, Spanish, Arabic and Portuguese. We …

Online users generate tremendous amounts of textual information by participating in
different online activities. This data provides opportunities for researchers and business …

Open-domain dialogue agents must be able to converse about many topics while
incorporating knowledge about the user into the conversation. In this work we address the …