Name
Title | ||
|---|---|---|
NIHRIO at SemEval-2018 Task 3: A Simple and Accurate Neural Network Model for Irony Detection in Twitter. |
Abstract | ||
|---|---|---|
This paper describes our NIHRIO system for SemEval-2018 Task 3 Irony detection in English We propose to use a simple neural network architecture of Multilayer Perceptron with various types of input features including: lexical, syntactic, semantic and polarity features. Our system achieves very high performance in both subtasks of binary and multi-class irony detection in tweets. In particular, we rank third using the accuracy metric and fifth using the F1 metric. Our code is available at this https URL |
Year | DOI | Venue |
|---|---|---|
2018 | 10.18653/v1/s18-1085 | SemEval@NAACL-HLT |
DocType | Volume | Citations |
Conference | abs/1804.00520 | 0 |
PageRank | References | Authors |
0.34 | 20 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thanh Vu | 1 | 40 | 6.87 |
| Dat Quoc Nguyen | 2 | 246 | 25.87 |
| Xuan-Son Vu | 3 | 6 | 5.88 |
| Dai Quoc Nguyen | 4 | 107 | 13.49 |
| Michael Catt | 5 | 0 | 1.69 |
| Michael Trenell | 6 | 3 | 1.09 |