no code implementations • WS 2020 • Edison Marrese-Taylor, Cristian Rodriguez-Opazo, Jorge A. Balazs, Stephen Gould, Yutaka Matsuo
Despite the recent advances in opinion mining for written reviews, few works have tackled the problem on other sources of reviews.
1 code implementation • NAACL 2019 • Jorge A. Balazs, Yutaka Matsuo
In this paper we study how different ways of combining character and word-level representations affect the quality of both final word and sentence representations.
1 code implementation • WS 2018 • Suzana Ilić, Edison Marrese-Taylor, Jorge A. Balazs, Yutaka Matsuo
Predicting context-dependent and non-literal utterances like sarcastic and ironic expressions still remains a challenging task in NLP, as it goes beyond linguistic patterns, encompassing common sense and shared knowledge as crucial components.
1 code implementation • WS 2018 • Jorge A. Balazs, Edison Marrese-Taylor, Yutaka Matsuo
In this paper we describe our system designed for the WASSA 2018 Implicit Emotion Shared Task (IEST), which obtained 2$^{\text{nd}}$ place out of 26 teams with a test macro F1 score of $0. 710$.
no code implementations • SEMEVAL 2018 • Edison Marrese-Taylor, Suzana Ilic, Jorge A. Balazs, Yutaka Matsuo, Helmut Prendinger
In this paper we introduce our system for the task of Irony detection in English tweets, a part of SemEval 2018.
1 code implementation • WS 2017 • Edison Marrese-Taylor, Jorge A. Balazs, Yutaka Matsuo
These results, as well as further experiments on domain adaptation for aspect extraction, suggest that differences between speech and written text, which have been discussed extensively in the literature, also extend to the domain of product reviews, where they are relevant for fine-grained opinion mining.
1 code implementation • WS 2017 • Jorge A. Balazs, Edison Marrese-Taylor, Pablo Loyola, Yutaka Matsuo
Finally it combines the refined representations of both sentences into a single vector to be used for classification.