Techniques from Natural-Language-Processing offer the opportunities to design new dialog-
based forms of human-computer interaction as well as to analyze the argumentation quality …

Recent advances in Natural Language Processing (NLP) bear the opportunity to analyze the
argumentation quality of texts. This can be leveraged to provide students with individual and …

Abstract Recent advances in Natural Language Processing not only bear the opportunity to
design new dialog-based forms of human-computer interaction but also to analyze the …

In this paper, we present a novel annotation approach to capture claims and premises of
arguments and their relations in student-written persuasive peer reviews on business …

Despite a large number of available techniques around Deep Learning in Natural Language
Processing (NLP), no holistic framework exists which supports researchers and practitioners …

The qualitative information of companies' financial statements provides useful information
that can increase the accuracy of bankruptcy prediction models. In this research, a dataset of …

Abstract Recent advances in Natural Language Processing (NLP) bear the opportunity to
design new forms of human-computer interaction with conversational interfaces. However …

There has been a significant increase in academic processes to ensure the quality of
educational resources such as curricula, examinations, and educational content. This has …

By combining recent advances in Natural Language Processing and Conversational Agent
(CAs), we suggest a new form of human-computer interaction for individuals to receive …

How can useful information extracted from unstructured data be used to contribute to a better
prediction of corporate failure or bankruptcy? In this research, we examine a data set of …