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Csun jing li software#
Csun jing li free#

Kaifa Zhao, Le Yu, Shiyao Zhou, Jing Li, Xiapu Luo, Yat Fei Aemon Chiu, Yutong LiuĪ Fine-grained Chinese Software Privacy Policy Dataset for Sequence Labeling and Regulation Compliant Identification.Understanding Social Media Cross-Modality Discourse in Linguistic Space Chunpu Xu, Hanzhuo Tan, Jing Li, and Piji Li.PolyU Internal Fund.īorrowing Human Senses: Comment-Aware Self-Training for Social Media Multimodal Classification Oct 2019 - Sep 2022: Discourse Parsing for Online Conversations.Jan 2021 - Dec 2023: Characterize, Detect, and Neutralize: Context-Aware Computational Methods for Media Bias on Social Platforms.CCF-Tencent Rhino-Bird Young Faculty Open Research Fund (matched with RGC-RMGS). Jan 2021 - Dec 2021: Comment-Aware Weakly-Supervised Classification for Social Media Texts.CCF-Baidu Open Fund (matched with RGC-RMGS). Jan 2022 - Dec 2022: Pre-training Methods for Short Texts.

Csun jing li free#

Feel free to explore the AIDA Interactive Playground (only for internal use of PolyU students)!

PolyU Internal Fund under Freshman Seminar for the Online Teaching Development and Educational Research Grant as PI with Co-PI Dr. July 2021 - June 2022: Development of a 3-hour Online Programme on Artificial Intelligence and Data Analytics.Jan 2022 - Dec 2024: Social-Transformers: A Deep Pre-training Framework for Social Media Language Understanding.Gift Fund from Zhongjiaoyunzhi (matched with RGC-RMGS). Mar 2022 - Feb 2023: Knowledge-Enhanced Automatic Essay Grading Research.Natural Language Processing (NLP) and Multimodal Applications.

Online Conversations and Social Interaction Modeling.

Natural Language Understanding (NLU) for Social Media Contents.

Pre-training and Language Representation Learning.

To know more about our research team, feel free to visit PolyU SMART Group. Particularly, she works on novel algorithms for language representation learning, social media language understanding, conversation and social interaction modeling, and robust NLP and multimodal applications in the noisy real-world applications. Jing has broad research interests on Natural Language Processing (NLP), Computational Social Science (CSS), and Machine Learning (ML). degree from Department of Machine Intelligence, Peking University in 2013. Jing obtained her PhD degree from the Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong in 2017 under supervision of Professor Kam-Fai Wong.

Before joining PolyU, she worked in the Natural Language Processing Center, Tencent AI Lab as a senior researcher from 2017 to 2019. She is a member of Research Centre of Data Sciences and Artificial Intelligence (RC-DSAI). Jing Li is an Assistant Professor of the Department of Computing, The Hong Kong Polytechnic University (PolyU) since 2019. Li is awarded CCF-Baidu open fund for Short Text Pre-training!ĭr. One paper is accepted in Check the paper here.One paper is accepted in ACL 2022 (long paper, main conference) about Expertise Learning in Health Forums! Congrats to Xiaoxin and Yubo.One paper is accepted in NAACL 2022 (Findings) about Complaints on Social Media! Congrats to Ming and his supervisor Prof.One paper is accepted in ICML 2022 (spotlight) about Explainable AI! Congrats to Yibing and his supervisor Dr.One paper is accepted in ICSE 2022 about Programing Language Pre-training! Congrats to Zhengran, Hanzhuo, and their supervisor Prof.Congrats to Chunpu, Kaifa, and Kaifa's chief supervisor Dr. Three papers are accepted in EMNLP 2022, two in main conference and one in Findings! One is about comment retrieval for multimodal NLU on social media (Check the paper here), one is about cross-modality discourse on social media (Check the paper here), and the other one is about NER for privacy documents (Check the paper here).We took Cantonese as an example trying to draw the attention of our community over NLP for low-resource languages. We provided a tutorial in AACL 2022 about " When Cantonese NLP Meets Pre-training: Progress and Challenges".Priority will be given to students with at least 1 paper published/accepted in premier NLP/ML/AI conferences (e.g., ACL, EMNLP, NAACL, COLING). Drop me your CV if you are interested in the position. We have several opening positions for full-time/part-time PhD/Research Assistants/Project Assistants/Post-docs in our team.