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This paper presents a generic method for transforming the source code of various algorithms to numerical embeddings, by dynamically analysing the behaviour of computer programs against different inputs and by tailoring multiple generic complexity ...$\mathrm{}$

Natural language processing has had a significant growth in recent years, two key factors being the increase of processing capabilities leading to very large models and the availability of larger standardized datasets. However, not every specific ...

Games on the Atari 2600 platform have served as a benchmark for reinforcement learning algorithms in recent years, and while deep reinforcement learning approaches make progress on most games, there are still some games that the majority of these ...

Transformers are becoming more and more used for solving various Natural Language Processing tasks. Recently, they have also been employed to process source code to analyze very large code-bases automatically. This paper presents a custom-designed ...

This paper tackles the classical problem of plagiarism detection by employing current state-of-the-art NLP methods based on Deep Learning. We investigate whether transformer models may be used along with existing solutions for plagiarism detection,...

The COVID-19 pandemic has changed the entire world, while the impact and usage of online learning environments has greatly increased. This paper presents a new version of the ReaderBench framework, grounded in Cohesion Network Analysis,...

• We evaluate students' behaviors before and during COVID-19 as a plug-in to Moodle.

Multi-participant chat conversations are one of the most frequently employed Computer Supported Collaborative Learning tools due to their ease of use. Moreover, chats enhance knowledge sharing, sustain creativity and aid in collaborative problem ...

This paper details a novel method for grouping together online social networking profiles of the same person extracted from different sources. Name ambiguity arises naturally in any culture due to the popularity of specific names which are shared ...

In recent years, there have been several advancements in question answering systems. These were achieved both due to the availability of a greater number of datasets, some of them significantly larger in size than any of the existing corpora, and to the ...

Many historic periods (or events) are remembered by slogans, expressions or words that are strongly linked to them. Educated people are also able to determine whether a particular word or expression is related to a specific period in human history. The ...

Chat conversations with multiple participants are widely used in solving a wide range of CSCL tasks. One of the reasons for their success is that they encourage multiple conversation threads to exist in parallel, thus allowing multiple topics and ideas ...

In this paper, we present an application that can be used for assessing the participants' contributions to multiple chat conversations that debate the same topics according to different criteria involvement, knowledge and innovation, along with the ...

In this paper we propose a new method for identifying creativity that is based on analyzing a corpus of chat conversations on the same topic and extracting the new ideas expressed by participants. The application is a first step in supporting creativity ...

Vandalism of the content has always been one of the greatest problems for Wikipedia, yet only few completely automatic solutions for solving it have been developed so far. Volunteers still spend large amounts of time correcting vandalized page edits, ...

Plagiarism in the academic writing is considered one of the worst breaches of professional conduct in western society and automatic detection of it has become an important use case for Natural Language Processing research. We created a new system, ...

There are many web platforms that are used to share non-textual content, such as videos, images, animations, etc. and that allow users to add comments for each item. YouTube is probably the most popular of them, with billions of videos uploaded by its ...

There are many applications that are incorporating a human appearance and intending to simulate human dialog, but in most of the cases the knowledge of the conversational bot is stored in a database created by a human experts. However, very few ...

The paper presents a system for helping the analysis of Computer-Supported Collaborative Learning chat (instant messenger) sessions, starting from a polyphonic model of the discourse inspired by the dialogistics of Bakhtin. Some theoretical basics of ...

The wider acceptance and usage of instant messaging (chat) represents one of the consequences of undertaking Computer-Supported Collaborative Learning (CSCL) practices in formal education settings. However, the difficulty of analyzing these textual ...

This paper presents a model and an application that can be used to assess chat conversations according to their content, which is related to a number of imposed topics, and to the personal involvement of the participants. The main theoretical ideas that ...