Aker, A., Paramita, M., Kurtic, E. et al. (4 more authors) (2016) Automatic Label Generation for News Comment Clusters. In: Proceedings of the 9th International Natural Language Generation Conference. 9th International Natural Language Generation Conference (INLG 2016), 05-08 Sep 2016, Edinburgh, UK. Association for Computational Linguistics , pp. 61-69.
Abstract
We present a supervised approach to automat- ically labelling topic clusters of reader com- ments to online news. We use a feature set that includes both features capturing proper- ties local to the cluster and features that cap- ture aspects from the news article and from comments outside the cluster. We evaluate the approach in an automatic and a manual, task-based setting. Both evaluations show the approach to outperform a baseline method, which uses tf*idf to select comment-internal terms for use as topic labels. We illustrate how cluster labels can be used to generate cluster summaries and present two alternative sum- mary formats: a pie chart summary and an ab- stractive summary.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2016 Association for Computational Linguistics. Licensed on a Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/). |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - FP6/FP7 SENSEI - 610916 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 15 Jun 2017 13:50 |
Last Modified: | 19 Dec 2022 13:36 |
Published Version: | https://doi.org/10.18653/v1/W16-6610 |
Status: | Published |
Publisher: | Association for Computational Linguistics |
Identification Number: | 10.18653/v1/W16-6610 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:117786 |