Sarcastic RoBERTa: A RoBERTa-Based Deep Neural Network Detecting Sarcasm on Twitter

被引：2

作者：

Hercog, Maciej ^{[1
]}

Jaronski, Piotr ^{[1
]}

Kolanowski, Jan ^{[1
,3
]}

Mieczynski, Pawel ^{[1
]}

Wisniewski, Dawid ^{[1
]}

Potoniec, Jedrzej ^{[1
,2
]}

机构：

[1] Poznan Univ Tech, Inst Comp Sci, Ul Piotrowo 2, PL-60965 Poznan, Poland

[2] Poznan Univ Tech, Ctr Artificial Intelligence & Machine Learning, Ul Piotrowo 2, PL-60965 Poznan, Poland

[3] Cisco Syst Poland, Warsaw, Poland

来源：

BIG DATA ANALYTICS AND KNOWLEDGE DISCOVERY, DAWAK 2022 | 2022年 / 13428卷

关键词：

Text classification; Sarcasm detection; RoBERTa; iSarcasm; SARC; Knowledge transfer;

D O I：

10.1007/978-3-031-12670-3_4

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Sarcastic RoBERTa is an approach to recognizing sarcastic tweets written in English. It is based on a pre-trained RoBERTa model supported by a 3-layer feed-forward fully-connected neural network. It establishes a new state-of-the-art result on the iSarcasm dataset, attaining the F-1 score of 0.526, and being not far from the human performance of 0.616.

引用

页码：46 / 52

页数：7

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