Abstract
We participate in the FNS-Summarisation 2020 shared task to be held at FNP 2020 workshop at COLING 2020. Based on Determinantal Point Processes (DPPs), we build an extractive automatic financial summarisation system for the specific task. In this system, we first analyze the long report data to select the important narrative parts and generate an intermediate document. Next, we build the kernel Matrix L for the intermediate document, which represents the quality of its sentences. On the basis of L, we then can use the DPPs sampling algorithm to choose those sentences with high quality and diversity as the final summary sentences.- Anthology ID:
- 2020.fnp-1.17
- Volume:
- Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation
- Month:
- December
- Year:
- 2020
- Address:
- Barcelona, Spain (Online)
- Editors:
- Dr Mahmoud El-Haj, Dr Vasiliki Athanasakou, Dr Sira Ferradans, Dr Catherine Salzedo, Dr Ans Elhag, Dr Houda Bouamor, Dr Marina Litvak, Dr Paul Rayson, Dr George Giannakopoulos, Nikiforos Pittaras
- Venue:
- FNP
- SIG:
- Publisher:
- COLING
- Note:
- Pages:
- 100–104
- Language:
- URL:
- https://aclanthology.org/2020.fnp-1.17
- DOI:
- Cite (ACL):
- Lei Li, Yafei Jiang, and Yinan Liu. 2020. Extractive Financial Narrative Summarisation based on DPPs. In Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation, pages 100–104, Barcelona, Spain (Online). COLING.
- Cite (Informal):
- Extractive Financial Narrative Summarisation based on DPPs (Li et al., FNP 2020)
- PDF:
- https://preview.aclanthology.org/proper-vol2-ingestion/2020.fnp-1.17.pdf