31.0CLAug 24, 2020
syrapropa at SemEval-2020 Task 11: BERT-based Models Design For Propagandistic Technique and Span DetectionJinfen Li, Lu Xiao
This paper describes the BERT-based models proposed for two subtasks in SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles. We first build the model for Span Identification (SI) based on SpanBERT, and facilitate the detection by a deeper model and a sentence-level representation. We then develop a hybrid model for the Technique Classification (TC). The hybrid model is composed of three submodels including two BERT models with different training methods, and a feature-based Logistic Regression model. We endeavor to deal with imbalanced dataset by adjusting cost function. We are in the seventh place in SI subtask (0.4711 of F1-measure), and in the third place in TC subtask (0.6783 of F1-measure) on the development set.
5.8HCMar 3, 2015
Design for Online Deliberative Processes and Technologies: Towards a Multidisciplinary Research AgendaLu Xiao, Weiyu Zhang, Anna Przybylska et al.
There has been rapidly growing interest in studying and designing online deliberative processes and technologies. This SIG aims at providing a venue for continuous and constructive dialogue between social, political and cognitive sciences as well as computer science, HCI, and CSCW. Through an online community and a modified version of world cafe discussions, we contribute to the definition of the theoretical building blocks, the identification of a research agenda for the CHI community, and the network of individuals from academia, industry, and the public sector who share interests in different aspects of online deliberation.
3.2HCApr 16, 2012
Rationale awareness for quality assurance in iterative human computation processesLu Xiao
Human computation refers to the outsourcing of computation tasks to human workers. It offers a new direction for solving a variety of problems and calls for innovative ways of managing human computation processes. The majority of human computation tasks take a parallel approach, whereas the potential of an iterative approach, i.e., having workers iteratively build on each other's work, has not been sufficiently explored. This study investigates whether and how human workers' awareness of previous workers' rationales affects the performance of the iterative approach in a brainstorming task and a rating task. Rather than viewing this work as a conclusive piece, the author believes that this research endeavor is just the beginning of a new research focus that examines and supports meta-cognitive processes in crowdsourcing activities.