no code implementations • 28 Jun 2023 • Quanzhi Li, Yang Chao, Dong Li, Yao Lu, Chi Zhang
Social media streams contain large and diverse amount of information, ranging from daily-life stories to the latest global and local events and news.
no code implementations • WS 2019 • Quanzhi Li, Qiong Zhang, Luo Si, Yingchi Liu
Social media platforms have been used for information and news gathering, and they are very valuable in many applications.
no code implementations • IJCNLP 2019 • Yingchi Liu, Quanzhi Li, Marika Cifor, Xiaozhong Liu, Qiong Zhang, Luo Si
Sexual harassment occurred in a variety of situations, and categorization of the stories and extraction of their key elements will provide great help for the related parties to understand and address sexual harassment.
no code implementations • ACL 2019 • Quanzhi Li, Qiong Zhang, Luo Si
In this study, we propose a new multi-task learning approach for rumor detection and stance classification tasks.
no code implementations • SEMEVAL 2019 • Quanzhi Li, Qiong Zhang, Luo Si
This paper describes our system for SemEval 2019 RumorEval: Determining rumor veracity and support for rumors (SemEval 2019 Task 7).
no code implementations • SEMEVAL 2018 • Yingchi Liu, Quanzhi Li, Luo Si
In this paper, we describe Alibaba{'}s participating system in the semEval-2018 Task5: Counting Events and Participants in the Long Tail.
no code implementations • 11 Nov 2017 • Xiaomo Liu, Armineh Nourbakhsh, Quanzhi Li, Sameena Shah, Robert Martin, John Duprey
It has a bottom-up approach to news detection, and does not rely on a predefined set of sources or subjects.
Social and Information Networks
no code implementations • 14 Aug 2017 • Quanzhi Li, Sameena Shah, Xiaomo Liu, Armineh Nourbakhsh
In addition to the data sets learned from just tweet data, we also built embedding sets from the general data and the combination of tweets with the general data.
no code implementations • CONLL 2017 • Quanzhi Li, Sameena Shah
Previous studies have shown that investor sentiment indicators can predict stock market change.
no code implementations • SEMEVAL 2017 • Quanzhi Li, Sameena Shah, Armineh Nourbakhsh, Rui Fang, Xiaomo Liu
This paper describes the approach we used for SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs.
no code implementations • SEMEVAL 2017 • Quanzhi Li, Armineh Nourbakhsh, Xiaomo Liu, Rui Fang, Sameena Shah
This paper describes the approach we used for SemEval-2017 Task 4: Sentiment Analysis in Twitter.