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. Transferring knowledge from discourse to arguments: A case study with scientific abstracts. 6th ACL Workshop on Argument Mining

Accuosto P, Saggion H. Transferring knowledge from discourse to arguments: A case study with scientific abstracts. 6th ACL Workshop on Argument Mining

In this work we propose to leverage resources available with discourse-level annotations to facilitate the identification of argumentative components and relations in scientific texts, which has been recognized as a particularly challenging task. In particular, we implement and evaluate a transfer learning approach in which contextualized representations learned from discourse parsing tasks are used as input of argument mining models. As a pilot application, we explore the feasibility of using automatically identified argumentative components and relations to predict the acceptance of papers in computer science venues. In or-der to conduct our experiments, we propose an annotation scheme for argumentative units and relations and use it to enrich an existing corpus with an argumentation layer

Additional material:

Corpus with annotations http://scientmin.taln.upf. edu/argmin/scidtb_argmin_annotations.tgz.

Best paper award at 6th ACL Workshop on Argument Mining

 

Link: https://www.aclweb.org/anthology/W19-4505

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