SyntNN at SemEval-2018 Task 2: is Syntax Useful for Emoji Prediction? Embedding Syntactic Trees in Multi Layer Perceptrons

2018-06-01 · SEMEVAL 2018 6 · Fabio Massimo Zanzotto, Andrea Santilli

In this paper, we present SyntNN as a way to include traditional syntactic models in multilayer neural networks used in the task of Semeval Task 2 of emoji prediction. The model builds on the distributed tree embedder also known as distributed tree kernel. Initial results are extremely encouraging but additional analysis is needed to overcome the problem of overfitting.

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Tasks

Task 2

TAJJEB at SemEval-2018 Task 2: Traditional Approaches Just Do the Job with Emoji Prediction

2018-06-01 · SEMEVAL 2018 6 · Angelo Basile, Kenny W. Lino

Emojis are widely used on social media andunderstanding their meaning is important forboth practical purposes (e.g. opinion mining,sentiment detection) and theoretical purposes(e.g. how different L1 speakers use them, do…

Opinion Mining Sentiment Analysis Task 2 Word Embeddings

TokyoTech\_NLP at SemEval-2019 Task 3: Emotion-related Symbols in Emotion Detection

2019-06-01 · SEMEVAL 2019 6 · Zhishen Yang, Sam Vijlbrief, Naoaki Okazaki

This paper presents our contextual emotion detection system in approaching the SemEval2019 shared task 3: EmoContext: Contextual Emotion Detection in Text. This system cooperates with an emotion detection neural network …

CENNLP at SemEval-2018 Task 2: Enhanced Distributed Representation of Text using Target Classes for Emoji Prediction Representation

2018-06-01 · SEMEVAL 2018 6 · Naveen J R, Hariharan V, Barathi Ganesh H. B., An Kumar M 외

Emoji is one of the {``}fastest growing language {''} in pop-culture, especially in social media and it is very unlikely for its usage to decrease. These are generally used to bring an extra level of meaning to the texts…

Cultural Vocal Bursts Intensity Prediction Opinion Mining Sentiment Analysis Task 2

Peperomia at SemEval-2018 Task 2: Vector Similarity Based Approach for Emoji Prediction

2018-06-01 · SEMEVAL 2018 6 · Jing Chen, Dechuan Yang, Xilian Li, Wei Chen 외

This paper describes our participation in SemEval 2018 Task 2: Multilingual Emoji Prediction, in which participants are asked to predict a tweet{'}s most associated emoji from 20 emojis. Instead of regarding it as a 20-c…

Classification General Classification Semantic Textual Similarity Sentiment Analysis+3

ECNU at SemEval-2018 Task 2: Leverage Traditional NLP Features and Neural Networks Methods to Address Twitter Emoji Prediction Task

2018-06-01 · SEMEVAL 2018 6 · Xingwu Lu, Xin Mao, Man Lan, Yuanbin Wu

This paper describes our submissions to Task 2 in SemEval 2018, i.e., Multilingual Emoji Prediction. We first investigate several traditional Natural Language Processing (NLP) features, and then design several deep learn…

Deep Learning Prediction Task 2