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IEST: WASSA-2018 Implicit Emotions Shared Task
2018
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
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Based on this intention, we call this the Implicit Emotion Shared Task (IEST) because the systems have to infer the emotion mostly from the context. ...
Past shared tasks on emotions use data with both overt expressions of emotions (I am so happy to see you!) ...
Acknowledgments This work has been partially supported by the German Research Council (DFG), project SEAT (Structured Multi-Domain Emotion Analysis from Text, KL 2869/1-1). ...
doi:10.18653/v1/w18-6206
dblp:conf/wassa/KlingerCMB18
fatcat:bwueutoj7ngrfnq4bys4oextai
IEST: WASSA-2018 Implicit Emotions Shared Task
[article]
2018
arXiv
pre-print
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Based on this intention, we call this the Implicit Emotion Shared Task (IEST) because the systems have to infer the emotion mostly from the context. ...
Past shared tasks on emotions use data with both overt expressions of emotions (I am so happy to see you!) ...
Acknowledgments This work has been partially supported by the German Research Council (DFG), project SEAT (Structured Multi-Domain Emotion Analysis from Text, KL 2869/1-1). ...
arXiv:1809.01083v2
fatcat:e46l4uyemncfpnsjhplxyrudba
Disney at IEST 2018: Predicting Emotions using an Ensemble
2018
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
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This paper describes our participating system in the WASSA 2018 shared task on emotion prediction. The task focuses on implicit emotion prediction in a tweet. ...
In this task, keywords corresponding to the six emotion labels used (anger, fear, disgust, joy, sad, and surprise) have been removed from the tweet text, making emotion prediction implicit and the task ...
We have designed a robust classifier for sentences without any assumptions about the intrinsic properties of the task which make it generalizable to other tasks (e.g., explicit emotion prediction) on other ...
doi:10.18653/v1/w18-6236
dblp:conf/wassa/WitonCMK18
fatcat:fhrholrlj5hwzlem3f2wcble24
Amobee at IEST 2018: Transfer Learning from Language Models
2018
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
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This paper describes the system developed at Amobee for the WASSA 2018 implicit emotions shared task (IEST). ...
The goal of this task was to predict the emotion expressed by missing words in tweets without an explicit mention of those words. ...
Review and Conclusions In this paper we described the system developed for the WASSA 2018 implicit emotion shared task. ...
doi:10.18653/v1/w18-6207
dblp:conf/wassa/RozentalFK18
fatcat:xelmrahk4jajbdstzi2wcnrwn4
Amobee at IEST 2018: Transfer Learning from Language Models
[article]
2018
arXiv
pre-print
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This paper describes the system developed at Amobee for the WASSA 2018 implicit emotions shared task (IEST). ...
The goal of this task was to predict the emotion expressed by missing words in tweets without an explicit mention of those words. ...
Review and Conclusions In this paper we described the system developed for the WASSA 2018 implicit emotion shared task. ...
arXiv:1808.08782v2
fatcat:euxici337rhl7ocuju24473doy
IIIDYT at IEST 2018: Implicit Emotion Classification With Deep Contextualized Word Representations
[article]
2018
arXiv
pre-print
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In this paper we describe our system designed for the WASSA 2018 Implicit Emotion Shared Task (IEST), which obtained 2^nd place out of 26 teams with a test macro F1 score of 0.710. ...
In light of this, the WASSA 2018 Implicit Emotion Shared Task (IEST) (Klinger et al., 2018) was proposed to help find ways to automatically learn the link between situations and the emotion they trigger ...
Conclusions and Future Work We described the model that got second place in the WASSA 2018 Implicit Emotion Shared Task. ...
arXiv:1808.08672v2
fatcat:cfjb2gjwdfdedfgetjoluf5umm
BrainT at IEST 2018: Fine-tuning Multiclass Perceptron For Implicit Emotion Classification
2018
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
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The model is trained on an annotated corpus of 153,383 tweets and predictions on the test data were submitted to the WASSA-2018 Implicit Emotion Shared Task. BrainT 1 attained a Macro F-score of 0.63. ...
We present BrainT, a multi-class, averaged perceptron tested on implicit emotion prediction of tweets. ...
Conclusion In this paper we evaluate a multiclass averaged perceptron on implicit emotion detection in tweets. We discuss how different preprocessing options and feature sets affect its performance. ...
doi:10.18653/v1/w18-6235
dblp:conf/wassa/GratianH18
fatcat:u3d2e7evibdptbg7jep4fkfufm
IIIDYT at IEST 2018: Implicit Emotion Classification With Deep Contextualized Word Representations
2018
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In this paper we describe our system designed for the WASSA 2018 Implicit Emotion Shared Task (IEST), which obtained 2 nd place out of 30 teams with a test macro F1 score of 0.710. ...
In light of this, the WASSA 2018 Implicit Emotion Shared Task (IEST) (Klinger et al., 2018) was proposed to help find ways to automatically learn the link between situations and the emotion they trigger ...
Conclusions and Future Work We described the model that got second place in the WASSA 2018 Implicit Emotion Shared Task. ...
doi:10.18653/v1/w18-6208
dblp:conf/wassa/BalazsMM18
fatcat:zdccok5nbjhcxkgkhbkmlm4v2m
SINAI at IEST 2018: Neural Encoding of Emotional External Knowledge for Emotion Classification
2018
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
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The file type is application/pdf.
In this paper, we describe our participation in WASSA 2018 Implicit Emotion Shared Task (IEST 2018). ...
We claim that the use of emotional external knowledge may enhance the performance and the capacity of generalization of an emotion classification system based on neural networks. ...
In this paper, we describe the four systems submitted to the IEST shared-task of the WASSA Workshop (Klinger et al., 2018) . ...
doi:10.18653/v1/w18-6227
dblp:conf/wassa/ArcoMML18
fatcat:sdpq3r4urnaudjpezwyphh5rdm
USI-IR at IEST 2018: Sequence Modeling and Pseudo-Relevance Feedback for Implicit Emotion Detection
2018
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
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The file type is application/pdf.
This paper describes the participation of USI-IR in WASSA 2018 Implicit Emotion Shared Task. ...
In particular, Implicit Emotion Shared Task (IEST) is a shared task by WASSA 2018 that focuses on emotion analysis. ...
In this paper, we describe our submitted system to the IEST: WASSA-2018 Implicit Emotion Shared Task. ...
doi:10.18653/v1/w18-6233
dblp:conf/wassa/RissolaGC18
fatcat:ftlsxlvegbgu7ahj2ivhit2x5m
Sentylic at IEST 2018: Gated Recurrent Neural Network and Capsule Network Based Approach for Implicit Emotion Detection
[article]
2018
arXiv
pre-print
Preserved Fulltext
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The file type is application/pdf.
In this paper, we present the system we have used for the Implicit WASSA 2018 Implicit Emotion Shared Task. ...
The task is to predict the emotion of a tweet of which the explicit mentions of emotion terms have been removed. ...
Conclusion WASSA 2018 Implicit Emotion Shared Task (Klinger et al., 2018) introduces a task to predict the emotion of a tweet of which the explicit mentions of emotion terms have been removed. ...
arXiv:1809.01452v1
fatcat:z223bh5w6banbmlo7ikavz2hh4
DataSEARCH at IEST 2018: Multiple Word Embedding based Models for Implicit Emotion Classification of Tweets with Deep Learning
2018
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
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This approach is ranked 8 th in Implicit Emotion Shared Task (IEST) at WASSA-2018. ...
This paper describes an approach to solve implicit emotion classification with the use of pre-trained word embedding models to train multiple neural networks. ...
We would also like to thank the organizers of IEST at WASSA-2018 for organizing this shared task. ...
doi:10.18653/v1/w18-6230
dblp:conf/wassa/SenarathT18
fatcat:gt5pejianra7jn3k4gil4cuusy
UWB at IEST 2018: Emotion Prediction in Tweets with Bidirectional Long Short-Term Memory Neural Network
2018
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
This paper describes our system created for the WASSA 2018 Implicit Emotion Shared Task. ...
The goal of this task is to predict the emotion of a given tweet, from which a certain emotion word is removed. ...
2018 Implicit Emotion Shared Task. ...
doi:10.18653/v1/w18-6232
dblp:conf/wassa/PribanM18
fatcat:hhpd23bigbfbjpz5phvpgufmzq
Sentylic at IEST 2018: Gated Recurrent Neural Network and Capsule Network Based Approach for Implicit Emotion Detection
2018
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In this paper, we present the system we have used for the Implicit WASSA 2018 Implicit Emotion Shared Task. ...
The task is to predict the emotion of a tweet of which the explicit mentions of emotion terms have been removed. ...
Conclusion WASSA 2018 Implicit Emotion Shared Task (Klinger et al., 2018) introduces a task to predict the emotion of a tweet of which the explicit mentions of emotion terms have been removed. ...
doi:10.18653/v1/w18-6237
dblp:conf/wassa/RathnayakaASMW18
fatcat:mav5xv7jvfeyxeqj26bpwllmue
NTUA-SLP at IEST 2018: Ensemble of Neural Transfer Methods for Implicit Emotion Classification
[article]
2018
arXiv
pre-print
Preserved Fulltext
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The file type is application/pdf.
In this paper we present our approach to tackle the Implicit Emotion Shared Task (IEST) organized as part of WASSA 2018 at EMNLP 2018. ...
Given a tweet, from which a certain word has been removed, we are asked to predict the emotion of the missing word. In this work, we experiment with neural Transfer Learning (TL) methods. ...
In this paper, we present our work submitted to the WASSA 2018 IEST (Klinger et al., 2018 ). ...
arXiv:1809.00717v1
fatcat:z2ghiricfrgq3f3bbrtxydqohm
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