📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Machine-aided annotation for fine-grained proposition types in argumentation (2020)

First Author: Jo Y.

Attributed to: Argument Mining funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Publication URI: https://api.elsevier.com/content/abstract/scopus_id/85096534947

Type: Other

Parent Publication: LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings