Abstract
Chain construction is an important requirement for understanding news and establishing the context. A news chain can be defined as a coherent set of articles that explains an event or a story. There’s a lack of well-established methods in this area. In this work, we propose a methodology to evaluate the “goodness” of a given news chain and implement a concept lattice-based news chain construction method by Hossain et al.. The methodology part is vital as it directly affects the growth of research in this area. Our proposed methodology consists of collected news chains from different studies and two “goodness” metrics, minedge and dispersion coefficient respectively. We assess the utility of the lattice-based news chain construction method by our proposed methodology.- Anthology ID:
- W17-4217
- Volume:
- Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism
- Month:
- September
- Year:
- 2017
- Address:
- Copenhagen, Denmark
- Editors:
- Octavian Popescu, Carlo Strapparava
- Venue:
- WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 95–99
- Language:
- URL:
- https://aclanthology.org/W17-4217
- DOI:
- 10.18653/v1/W17-4217
- Cite (ACL):
- Mustafa Toprak, Özer Özkahraman, and Selma Tekir. 2017. A News Chain Evaluation Methodology along with a Lattice-based Approach for News Chain Construction. In Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism, pages 95–99, Copenhagen, Denmark. Association for Computational Linguistics.
- Cite (Informal):
- A News Chain Evaluation Methodology along with a Lattice-based Approach for News Chain Construction (Toprak et al., 2017)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/W17-4217.pdf