📣 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.

Mining argumentative structure from natural language text using automatically generated premise-conclusion topic models (2017)

First Author: Lawrence J.

Attributed to: Argument Mining funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.18653/v1/w17-5105

Publication URI: https://api.elsevier.com/content/abstract/scopus_id/85121452233

Type: Other

Parent Publication: EMNLP 2017 - Proceedings of the 4th Workshop on Argument Mining, ArgMining 2017