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
Venues:
MultiLing | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
37–46
Language:
URL:
https://aclanthology.org/W17-1006
DOI:
10.18653/v1/W17-1006
Bibkey:
Copy Citation:
PDF:
https://aclanthology.org/W17-1006.pdf