Ultra-Concise Multi-genre Summarisation of Web2.0: towards Intelligent Content Generation
Elena Lloret, Ester Boldrini, Patricio Martínez-Barco, Manuel Palomar
Abstract
The electronic Word of Mouth has become the most powerful communication channel thanks to the wide usage of the Social Media. Our research proposes an approach towards the production of automatic ultra-concise summaries from multiple Web 2.0 sources. We exploit user-generated content from reviews and microblogs in different domains, and compile and analyse four types of ultra-concise summaries: a)positive information, b) negative information; c) both or d) objective information. The appropriateness and usefulness of our model is demonstrated by its successful results and great potential in real-life applications, thus meaning a relevant advancement of the state-of-the-art approaches.- Anthology ID:
- W17-1006
- Volume:
- Proceedings of the MultiLing 2017 Workshop on Summarization and Summary Evaluation Across Source Types and Genres
- Month:
- April
- Year:
- 2017
- Address:
- Valencia, Spain
- Editors:
- George Giannakopoulos, Elena Lloret, John M. Conroy, Josef Steinberger, Marina Litvak, Peter Rankel, Benoit Favre
- Venue:
- MultiLing
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 37–46
- Language:
- URL:
- https://preview.aclanthology.org/add_missing_videos/W17-1006/
- DOI:
- 10.18653/v1/W17-1006
- Cite (ACL):
- Elena Lloret, Ester Boldrini, Patricio Martínez-Barco, and Manuel Palomar. 2017. Ultra-Concise Multi-genre Summarisation of Web2.0: towards Intelligent Content Generation. In Proceedings of the MultiLing 2017 Workshop on Summarization and Summary Evaluation Across Source Types and Genres, pages 37–46, Valencia, Spain. Association for Computational Linguistics.
- Cite (Informal):
- Ultra-Concise Multi-genre Summarisation of Web2.0: towards Intelligent Content Generation (Lloret et al., MultiLing 2017)
- PDF:
- https://preview.aclanthology.org/add_missing_videos/W17-1006.pdf