Vladimir Andryushechkin


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A Comparison Of Emotion Annotation Schemes And A New Annotated Data Set
Ian Wood | John P. McCrae | Vladimir Andryushechkin | Paul Buitelaar
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)


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NUIG at EmoInt-2017: BiLSTM and SVR Ensemble to Detect Emotion Intensity
Vladimir Andryushechkin | Ian Wood | James O’ Neill
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

This paper describes the entry NUIG in the WASSA 2017 (8th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis) shared task on emotion recognition. The NUIG system used an SVR (SVM regression) and BLSTM ensemble, utilizing primarily n-grams (for SVR features) and tweet word embeddings (for BLSTM features). Experiments were carried out on several other candidate features, some of which were added to the SVR model. Parameter selection for the SVR model was run as a grid search whilst parameters for the BLSTM model were selected through a non-exhaustive ad-hoc search.