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MEAD - A Platform for Multidocument Multilingual Text Summarization
TLDR
The functionality of MEAD is described, a comprehensive, public domain, open source, multidocument multilingual summarization environment that has been thus far downloaded by more than 500 organizations. Expand
Evaluation Challenges in Large-Scale Document Summarization
TLDR
A large-scale meta evaluation of eight evaluation measures for both single-document and multi-document summarizers is presented, showing the strengths and draw-backs of all evaluation methods and how they rank the different summarizers. Expand
What does this Emoji Mean? A Vector Space Skip-Gram Model for Twitter Emojis
Comunicacio presentada a la Tenth International Conference on Language Resources and Evaluation (LREC 2016), celebrada els dies 23 a 28 de maig de 2016 a Portorož, Eslovenia.
Can Spanish Be Simpler? LexSiS: Lexical Simplification for Spanish
TLDR
LexSiS is presented, a lexical simplification system for Spanish that does not require a parallel corpus, but instead relies on freely available resources, such as an on-line dictionary and the Web as a corpus. Expand
Modelling Sarcasm in Twitter, a Novel Approach
TLDR
A novel computational model capable to detect sarcasm in the social network Twitter (a popular microblogging service which allows users to post short messages), which is easy to implement and, unlike previous systems, does not include patterns of words as features. Expand
Are Emojis Predictable?
TLDR
The experimental results show that the neural model outperforms a baseline as well as humans solving the same task, suggesting that computational models are able to better capture the underlying semantics of emojis. Expand
A Deeper Exploration of the Standard PB-SMT Approach to Text Simplification and its Evaluation
Comunicacio presentada a: the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing del 26 al 31 de juliol deExpand
Multi-source, Multilingual Information Extraction and Summarization
TLDR
This volume contains a selection of papers that present a variety of methodologies for content identification and extraction, as well as for content fusion and regeneration. Expand
How Cosmopolitan Are Emojis?: Exploring Emojis Usage and Meaning over Different Languages with Distributional Semantics
TLDR
The results suggest that the overall semantics of the subset of the emojis the authors studied is preserved across all the languages they analysed, however, some emoj is interpreted in a different way from language to language, and this could be related to socio-geographical differences. Expand
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