We have relevant datasets, repositories, frameworks and tools of relevance for research and technology transfer initiatives related to knowledge extraction. This section provides an overview on a selection of them and links to download or contact details.

The MdM Strategic Research Program has its own community in Zenodo for material available in this repository  as well as at the UPF e-repository  . Below a non-exhaustive list of datasets representative of the research in the Department.

As part of the promotion of the availability of resources, the creation of specific communities in Zenodo has also been promoted, at level of research communities (for instance, MIR and Educational Data Analytics) or MSc programs (for instance, the Master in Sound and Music Computing)

 

 

Back Accuosto P, Saggion H. Discourse-Driven Argument Mining in Scientific Abstracts. Natural Language Processing and Information Systems. NLDB 2019

Accuosto P, Saggion H. Discourse-Driven Argument Mining in Scientific Abstracts. Natural Language Processing and Information Systems. NLDB 2019

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 of argumentative components and relations in scientific literature. We conduct a pilot study by enriching a corpus of computational linguistics abstracts that contains discourse annotations with a new argumentative annotation level. The results obtained from preliminary experiments confirm the potential value of the proposed approach.

https://doi.org/10.1007/978-3-030-23281-8_15

Open access version at UPF e-repository: http://hdl.handle.net/10230/41907

Link: https://doi.org/10.1007/978-3-030-23281-8_15

Related Assets