@inproceedings{lloret-etal-2017-ultra,
title = "Ultra-Concise Multi-genre Summarisation of Web2.0: towards Intelligent Content Generation",
author = "Lloret, Elena and
Boldrini, Ester and
Mart{\'\i}nez-Barco, Patricio and
Palomar, Manuel",
editor = "Giannakopoulos, George and
Lloret, Elena and
Conroy, John M. and
Steinberger, Josef and
Litvak, Marina and
Rankel, Peter and
Favre, Benoit",
booktitle = "Proceedings of the {M}ulti{L}ing 2017 Workshop on Summarization and Summary Evaluation Across Source Types and Genres",
month = apr,
year = "2017",
address = "Valencia, Spain",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W17-1006",
doi = "10.18653/v1/W17-1006",
pages = "37--46",
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.",
}
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%0 Conference Proceedings
%T Ultra-Concise Multi-genre Summarisation of Web2.0: towards Intelligent Content Generation
%A Lloret, Elena
%A Boldrini, Ester
%A Martínez-Barco, Patricio
%A Palomar, Manuel
%Y Giannakopoulos, George
%Y Lloret, Elena
%Y Conroy, John M.
%Y Steinberger, Josef
%Y Litvak, Marina
%Y Rankel, Peter
%Y Favre, Benoit
%S Proceedings of the MultiLing 2017 Workshop on Summarization and Summary Evaluation Across Source Types and Genres
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F lloret-etal-2017-ultra
%X 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.
%R 10.18653/v1/W17-1006
%U https://aclanthology.org/W17-1006
%U https://doi.org/10.18653/v1/W17-1006
%P 37-46
Markdown (Informal)
[Ultra-Concise Multi-genre Summarisation of Web2.0: towards Intelligent Content Generation](https://aclanthology.org/W17-1006) (Lloret et al., MultiLing 2017)
ACL