no code implementations • 2 Mar 2024 • Chiyu Zhang, Honglong Cai, Yuezhang, Li, Yuexin Wu, Le Hou, Muhammad Abdul-Mageed
Text Style Transfer (TST) seeks to alter the style of text while retaining its core content.
1 code implementation • 16 Feb 2024 • Chiyu Zhang, Yifei Sun, Jun Chen, Jie Lei, Muhammad Abdul-Mageed, Sinong Wang, Rong Jin, Sem Park, Ning Yao, Bo Long
Leveraging users' long engagement histories is essential for personalized content recommendations.
1 code implementation • 17 Dec 2023 • Renxi Wang, Haonan Li, Minghao Wu, Yuxia Wang, Xudong Han, Chiyu Zhang, Timothy Baldwin
Instruction tuning significantly enhances the performance of large language models (LLMs) across various tasks.
no code implementations • 24 Oct 2023 • Muhammad Abdul-Mageed, AbdelRahim Elmadany, Chiyu Zhang, El Moatez Billah Nagoudi, Houda Bouamor, Nizar Habash
We describe the findings of the fourth Nuanced Arabic Dialect Identification Shared Task (NADI 2023).
1 code implementation • 23 Oct 2023 • Chiyu Zhang, Khai Duy Doan, Qisheng Liao, Muhammad Abdul-Mageed
We evaluate the performance of various multilingual pretrained language models (e. g., mT5) and instruction-tuned LLMs (e. g., BLOOMZ, ChatGPT) on SPARROW through fine-tuning, zero-shot, and/or few-shot learning.
no code implementations • 31 Jul 2023 • Chiyu Zhang, Ji Han, Yao Zou, Kexin Dong, Yujia Li, Junchun Ding, Xiaoling Han
LiDAR sensors play an important role in the perception stack of modern autonomous driving systems.
no code implementations • 21 Jun 2023 • Chiyu Zhang, Qi Yan, Lili Meng, Tristan Sylvain
Despite these advances, there remains a significant gap in understanding the impact of different SSCL strategies on time series forecasting performance, as well as the specific benefits that SSCL can bring.
1 code implementation • 27 Apr 2023 • Minghao Wu, Abdul Waheed, Chiyu Zhang, Muhammad Abdul-Mageed, Alham Fikri Aji
The results demonstrate that our proposed LaMini-LM models are comparable to competitive baselines, while being much smaller in size.
Ranked #15 on Word Sense Disambiguation on Words in Context
no code implementations • 2 Jan 2023 • Chiyu Zhang, Jun Yang, Zaiyan Dai, Peng Cao
In recent years, arbitrary image style transfer has attracted more and more attention.
1 code implementation • 22 Oct 2022 • Chiyu Zhang, Xiaogang Xu, Lei Wang, Zaiyan Dai, Jun Yang
Transformer's recent integration into style transfer leverages its proficiency in establishing long-range dependencies, albeit at the expense of attenuated local modeling.
1 code implementation • 18 Oct 2022 • Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim Elmadany, Houda Bouamor, Nizar Habash
We describe findings of the third Nuanced Arabic Dialect Identification Shared Task (NADI 2022).
1 code implementation • 21 Sep 2022 • Yan Liu, Maria Laricheva, Chiyu Zhang, Patrick Boutet, GuanYu Chen, Terence Tracey, Giuseppe Carenini, Richard Young
This study is to explore how to use natural language processing (NLP) methods, especially unsupervised machine learning, to assist psychologists to analyze emotions and sentiments and to use topic modeling to identify common issues and challenges that young people with IDD and their families have.
1 code implementation • 12 Aug 2022 • Maria Laricheva, Chiyu Zhang, Yan Liu, GuanYu Chen, Terence Tracey, Richard Young, Giuseppe Carenini
Conversational data is essential in psychology because it can help researchers understand individuals cognitive processes, emotions, and behaviors.
1 code implementation • 10 Apr 2022 • Chiyu Zhang, Muhammad Abdul-Mageed, El Moatez Billah Nagoudi
With the proliferation of social media, many studies resort to social media to construct datasets for developing social meaning understanding systems.
1 code implementation • 15 Mar 2022 • Chiyu Zhang, Muhammad Abdul-Mageed, Ganesh Jawahar
Recent progress in representation and contrastive learning in NLP has not widely considered the class of \textit{sociopragmatic meaning} (i. e., meaning in interaction within different language communities).
1 code implementation • WASSA (ACL) 2022 • Chiyu Zhang, Muhammad Abdul-Mageed
We test our models on $15$ different Twitter datasets for social meaning detection.
1 code implementation • EACL (WANLP) 2021 • Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim Elmadany, Houda Bouamor, Nizar Habash
This Shared Task includes four subtasks: country-level Modern Standard Arabic (MSA) identification (Subtask 1. 1), country-level dialect identification (Subtask 1. 2), province-level MSA identification (Subtask 2. 1), and province-level sub-dialect identification (Subtask 2. 2).
no code implementations • COLING (WANLP) 2020 • Muhammad Abdul-Mageed, Chiyu Zhang, Houda Bouamor, Nizar Habash
The data for the shared task covers a total of 100 provinces from 21 Arab countries and are collected from the Twitter domain.
1 code implementation • EMNLP 2020 • Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim Elmadany, Lyle Ungar
Although the prediction of dialects is an important language processing task, with a wide range of applications, existing work is largely limited to coarse-grained varieties.
no code implementations • LREC 2020 • AbdelRahim Elmadany, Chiyu Zhang, Muhammad Abdul-Mageed, Azadeh Hashemi
Social media are pervasive in our life, making it necessary to ensure safe online experiences by detecting and removing offensive and hate speech.
no code implementations • 21 Jan 2020 • Yihui Qiu, Chiyu Zhang
Verification experiments on multiple UCI standard datasets indicated that the algorithm effectively reduced the size of the feature set and significantly enhanced the prediction accuracy of the classifier.
1 code implementation • LREC 2020 • Muhammad Abdul-Mageed, Chiyu Zhang, Azadeh Hashemi, El Moatez Billah Nagoudi
We describe AraNet, a collection of deep learning Arabic social media processing tools.
no code implementations • 2 Nov 2019 • Muhammad Abdul-Mageed, Chiyu Zhang, Arun Rajendran, AbdelRahim Elmadany, Michael Przystupa, Lyle Ungar
In this work we exploit a newly-created Arabic dataset with ground truth age and gender labels to learn these attributes both individually and in a multi-task setting at the sentence level.
no code implementations • 31 Oct 2019 • Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim Elmadany, Arun Rajendran, Lyle Ungar
Prediction of language varieties and dialects is an important language processing task, with a wide range of applications.
no code implementations • 9 Sep 2019 • Chiyu Zhang, Muhammad Abdul-Mageed
We report our models for detecting age, language variety, and gender from social media data in the context of the Arabic author profiling and deception detection shared task (APDA).
no code implementations • 8 Sep 2019 • Chiyu Zhang, Muhammad Abdul-Mageed
Supervised deep learning requires large amounts of training data.
no code implementations • WS 2019 • Chiyu Zhang, Muhammad Abdul-Mageed
We present our deep leaning system submitted to MADAR shared task 2 focused on twitter user dialect identification.
no code implementations • 9 Jun 2019 • Arun Rajendran, Chiyu Zhang, Muhammad Abdul-Mageed
In this paper, we explore various approaches for learning two types of appraisal components from happy language.
no code implementations • 9 Jun 2019 • Arun Rajendran, Chiyu Zhang, Muhammad Abdul-Mageed
We examine learning offensive content on Twitter with limited, imbalanced data.
no code implementations • SEMEVAL 2019 • Arun Rajendran, Chiyu Zhang, Muhammad Abdul-Mageed
We examine learning offensive content on Twitter with limited, imbalanced data.
no code implementations • SEMEVAL 2019 • Chiyu Zhang, Arun Rajendran, Muhammad Abdul-Mageed
We present our deep learning models submitted to the SemEval-2019 Task 4 competition focused at Hyperpartisan News Detection.