@inproceedings{rissola-etal-2018-usi,
title = "{USI}-{IR} at {IEST} 2018: Sequence Modeling and Pseudo-Relevance Feedback for Implicit Emotion Detection",
author = "R{\'\i}ssola, Esteban and
Giachanou, Anastasia and
Crestani, Fabio",
editor = "Balahur, Alexandra and
Mohammad, Saif M. and
Hoste, Veronique and
Klinger, Roman",
booktitle = "Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis",
month = oct,
year = "2018",
address = "Brussels, Belgium",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-6233",
doi = "10.18653/v1/W18-6233",
pages = "231--234",
abstract = "This paper describes the participation of USI-IR in WASSA 2018 Implicit Emotion Shared Task. We propose a relevance feedback approach employing a sequential model (biLSTM) and word embeddings derived from a large collection of tweets. To this end, we assume that the top-\textit{k} predictions produce at a first classification step are correct (based on the model accuracy) and use them as new examples to re-train the network.",
}
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%0 Conference Proceedings
%T USI-IR at IEST 2018: Sequence Modeling and Pseudo-Relevance Feedback for Implicit Emotion Detection
%A Ríssola, Esteban
%A Giachanou, Anastasia
%A Crestani, Fabio
%Y Balahur, Alexandra
%Y Mohammad, Saif M.
%Y Hoste, Veronique
%Y Klinger, Roman
%S Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
%D 2018
%8 October
%I Association for Computational Linguistics
%C Brussels, Belgium
%F rissola-etal-2018-usi
%X This paper describes the participation of USI-IR in WASSA 2018 Implicit Emotion Shared Task. We propose a relevance feedback approach employing a sequential model (biLSTM) and word embeddings derived from a large collection of tweets. To this end, we assume that the top-k predictions produce at a first classification step are correct (based on the model accuracy) and use them as new examples to re-train the network.
%R 10.18653/v1/W18-6233
%U https://aclanthology.org/W18-6233
%U https://doi.org/10.18653/v1/W18-6233
%P 231-234
Markdown (Informal)
[USI-IR at IEST 2018: Sequence Modeling and Pseudo-Relevance Feedback for Implicit Emotion Detection](https://aclanthology.org/W18-6233) (Ríssola et al., WASSA 2018)
ACL