This project involves the presentation and analysis of a corpus of Spanish extractive and abstractive summaries of opinions. The purpose of this work is to display a corpus of diverse summaries that could be used as a reference for academic research as we have not found one for the Spanish language as far as we know. We have analyzed the summaries based on the agreement between them as this shows how different they are written between each other and on aspect coverage and sentiment orientation as this proves the difference between the content that each summary tries to express. After the experimentation, we have found that even if each annotator uses a different expression to summarize a text, all of them contain similar messages. Furthermore, when writing, all of them prioritize on common aspects that are more representative of the corpus.
@InProceedings{PEÑALOZA18.959, author = {Daniel Peñaloza and Juanjosé Tenorio and Rodrigo López and Héctor Gomez and Arturo Oncevay and Marco Antonio Sobrevilla Cabezudo}, title = "{Corpus Building and Evaluation of Aspect-based Opinion Summaries from Tweets in Spanish}", booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {May 7-12, 2018}, address = {Miyazaki, Japan}, editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga}, publisher = {European Language Resources Association (ELRA)}, isbn = {979-10-95546-00-9}, language = {english} }
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