IIIDYT at SemEval-2018 Task 3: Irony detection in English tweets

04/22/2018
by   Edison Marrese-Taylor, et al.
0

In this paper we introduce our system for the task of Irony detection in English tweets, a part of SemEval 2018. We propose representation learning approach that relies on a multi-layered bidirectional LSTM, without using external features that provide additional semantic information. Although our model is able to outperform the baseline in the validation set, our results show limited generalization power over the test set. Given the limited size of the dataset, we think the usage of more pre-training schemes would greatly improve the obtained results.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
09/08/2020

LynyrdSkynyrd at WNUT-2020 Task 2: Semi-Supervised Learning for Identification of Informative COVID-19 English Tweets

We describe our system for WNUT-2020 shared task on the identification o...
research
05/03/2018

Binarizer at SemEval-2018 Task 3: Parsing dependency and deep learning for irony detection

In this paper, we describe the system submitted for the SemEval 2018 Tas...
research
04/08/2023

tmn at SemEval-2023 Task 9: Multilingual Tweet Intimacy Detection using XLM-T, Google Translate, and Ensemble Learning

The paper describes a transformer-based system designed for SemEval-2023...
research
11/11/2020

NIT COVID-19 at WNUT-2020 Task 2: Deep Learning Model RoBERTa for Identify Informative COVID-19 English Tweets

This paper presents the model submitted by the NIT_COVID-19 team for ide...
research
11/13/2018

Hate Speech Detection from Code-mixed Hindi-English Tweets Using Deep Learning Models

This paper reports an increment to the state-of-the-art in hate speech d...
research
06/29/2017

Improving Distributed Representations of Tweets - Present and Future

Unsupervised representation learning for tweets is an important research...
research
11/02/2020

QMUL-SDS @ SardiStance: Leveraging Network Interactions to Boost Performance on Stance Detection using Knowledge Graphs

This paper presents our submission to the SardiStance 2020 shared task, ...

Please sign up or login with your details

Forgot password? Click here to reset