홈 › Papers

SemEval 2018 Task 2: Multilingual Emoji Prediction

2018-06-01 · SEMEVAL 2018 6 · Francesco Barbieri, Jose Camacho-Collados, Francesco Ronzano, Luis Espinosa-Anke, Miguel Ballesteros, Valerio Basile, Viviana Patti, Horacio Saggion

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 along such tweet. Two subtasks were proposed, one for English and one for Spanish, and participants were allowed to submit a system run to one or both subtasks. In total, 49 teams participated to the English subtask and 22 teams submitted a system run to the Spanish subtask. Evaluation was carried out emoji-wise, and the final ranking was based on macro F-Score. Data and further information about this task can be found at \url{https://competitions.codalab.org/competitions/17344}.

📄 PDF Abstract BibTeX

Code (0)

등록된 구현이 없습니다.

Tasks

Emotion Recognition Information Retrieval Prediction Sentiment AnalysisTask 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…

Information Retrieval Task 2 Word Embeddings

The Dabblers at SemEval-2018 Task 2: Multilingual Emoji Prediction

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…

BIG-bench Machine Learning Relation Task 2

EICA Team at SemEval-2018 Task 2: Semantic and Metadata-based Features for Multilingual Emoji Prediction

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

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

DUTH at SemEval-2018 Task 2: Emoji Prediction in Tweets

2018-06-01 · SEMEVAL 2018 6 · Dimitrios Effrosynidis, Georgios Peikos, Symeon Symeonidis, Avi Arampatzis

This paper describes the approach that was developed for SemEval 2018 Task 2 (Multilingual Emoji Prediction) by the DUTH Team. First, we employed a combination of pre-processing techniques to reduce the noise of tweets a…

Information Retrieval Task 2