In this work we propose to tackle the limitations posed by the lack of annotated data for argument mining in scientific texts by annotating argumentative units and relations in research abstracts in two scientific domains. ...

Argument mining consists in the automatic identification of argumentative structures in texts. In this work we address the open question of whether discourse-level annotations can contribute to facilitate the identification ...

In recent years there has been an increasing interest in approaches to scienti c summarization that take advantage of the citations a research paper has received in order to extract its main contributions. In this ...

Argument mining consists in the automatic identification of argumentative structures in natural language, a task that has been recognized as particularly challenging in the scientific domain. In this work we propose SciARG, ...

In the current online Open Science context, scientific datasets and tools for deep text analysis, visualization and exploitation play a major role.We present a system for deep analysis and annotation of scientific text ...