Abstract
Finding quality descriptions on the web, such as those found in Wikipedia articles, of newer companies can be difficult: search engines show many pages with varying relevance, while multi-document summarization algorithms find it difficult to distinguish between core facts and other information such as news stories. In this paper, we propose an entity-focused, hybrid generation approach to automatically produce descriptions of previously unseen companies, and show that it outperforms a strong summarization baseline.
Cite
CITATION STYLE
Saldanha, G., Biran, O., McKeown, K., & Gliozzo, A. (2016). An entity-focused approach to generating company descriptions. In 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Short Papers (pp. 243–248). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/p16-2040
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