Code-switching patterns can be an effective route to improve performance of downstream NLP applications: A case study of humour, sarcasm and hate speech detection

5 May 2020

Papers citing "Code-switching patterns can be an effective route to improve performance of downstream NLP applications: A case study of humour, sarcasm and hate speech detection"

9 / 9 papers shown

Title
Cross-lingual Offensive Language Detection: A Systematic Review of Datasets, Transfer Approaches and Challenges Aiqi Jiang A. Zubiaga AAML 36 3 0 17 Jan 2024
Cordyceps@LT-EDI: Patching Language-Specific Homophobia/Transphobia Classifiers with a Multilingual Understanding Dean Ninalga 40 2 0 24 Sep 2023
Persona-aware Generative Model for Code-mixed Language Ayan Sengupta Md. Shad Akhtar Tanmoy Chakraborty 21 0 0 06 Sep 2023
The Decades Progress on Code-Switching Research in NLP: A Systematic Survey on Trends and Challenges Genta Indra Winata Alham Fikri Aji Zheng-Xin Yong Thamar Solorio 37 34 0 19 Dec 2022
Automatic Identification of Motivation for Code-Switching in Speech Transcripts Ritu Belani Jeffrey Flanigan 38 0 0 30 Nov 2022
A Comprehensive Understanding of Code-mixed Language Semantics using Hierarchical Transformer Ayan Sengupta Tharun Suresh Md. Shad Akhtar Tanmoy Chakraborty 35 7 0 27 Apr 2022
IISERB Brains at SemEval 2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in English Tanuj Singh Shekhawat M. Kumar Udaybhan Rathore Aditya Joshi Jasabanta Patro 21 2 0 04 Mar 2022
How Effective is Incongruity? Implications for Code-mix Sarcasm Detection Aditya Shah Chandresh Kumar Maurya 27 3 0 06 Feb 2022
HIT: A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation Ayan Sengupta S. Bhattacharjee Tanmoy Chakraborty Md. Shad Akhtar 36 13 0 30 May 2021