UMDSub at SemEval-2018 Task 2: Multilingual Emoji Prediction Multi-channel Convolutional Neural Network on Subword Embedding

2018-05-25 · SEMEVAL 2018 6 · Zhenduo Wang, Ted Pedersen

This paper describes the UMDSub system that participated in Task 2 of SemEval-2018. We developed a system that predicts an emoji given the raw text in a English tweet. The system is a Multi-channel Convolutional Neural Network based on subword embeddings for the representation of tweets. This model improves on character or word based methods by about 2\%. Our system placed 21st of 48 participating systems in the official evaluation.

📄 PDF Abstract BibTeX arXiv:1805.10274

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Tasks

Task 2

LIS at SemEval-2018 Task 2: Mixing Word Embeddings and Bag of Features for Multilingual Emoji Prediction

2018-06-01 · SEMEVAL 2018 6 · Ga{\"e}l Guibon, Magalie Ochs, Patrice Bellot

In this paper we present the system submitted to the SemEval2018 task2 : Multilingual Emoji Prediction. Our system approaches both languages as being equal by first; considering word embeddings associated to automaticall…

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2018-06-01 · SEMEVAL 2018 6 · Larisa Alexa, Alina Loren{\textcommabelow{t}}, Daniela G{\^\i}fu, Tr 외

The {``}Multilingual Emoji Prediction{''} task focuses on the ability of predicting the correspondent emoji for a certain tweet. In this paper, we investigate the relation between words and emojis. In order to do that, w…

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2018-06-01 · SEMEVAL 2018 6 · Yufei Xie, Qingqing Song

The advent of social media has brought along a novel way of communication where meaning is composed by combining short text messages and visual enhancements, the so-called emojis. We describe our system for participating…

Information Retrieval Prediction Sentiment Analysis Task 2+1

SemEval 2018 Task 2: Multilingual Emoji Prediction

2018-06-01 · SEMEVAL 2018 6 · Francesco Barbieri, Jose Camacho-Collados, Francesco Ronzano, Luis Espinosa-Anke 외

This paper describes the results of the first Shared Task on Multilingual Emoji Prediction, organized as part of SemEval 2018. Given the text of a tweet, the task consists of predicting the most likely emoji to be used a…

Emotion Recognition Information Retrieval Prediction Sentiment Analysis+1

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