Negation Cues Detection Using CRF on Spanish Product Review Texts

The model used by the Aspie96 team was based upon the system presented in [4] in the context of IronITA (EVALITA 2018), a shared task for irony detection in tweets in Italian

In order to improve the CRF model, we applied two different approaches: 1) we introduced a list of rules that could help to identify multiword expressions and discontinuous cues,

In the previous edition of the NEGES Workshop (2018), two approaches have been pro- posed to automatically identify negation cues in the textual contents of Spanish product

Like the previous one, the model of the UNED team used casing information, however, this information was represented by an embedding gen- erated during training phase.. The

The number of negation structures per class (shown in Table 3) shows that there are more negation structures in documents labeled with negative sentiment in the development set,

Most basically, the semantics of negation is represented (and ought to be annotated) through (i) the identification of the negation cue (the lexical element expressing nega- tion);

Proceedings of NEGES 2018: Workshop on Negation in Spanish, pages 35-41.. et al., 2013) mostr´ o c´ omo introducir la detec- ci´ on de la negaci´ on en un sistema de an´ alisis

Taking into account that we have not generated a specific model for each domain, due to the needs of the sys- tem presented, the differences between pre- cision and recall