1 code implementation • EMNLP 2021 • Nianzu Ma, Alexander Politowicz, Sahisnu Mazumder, Jiahua Chen, Bing Liu, Eric Robertson, Scott Grigsby
This paper proposes to study a fine-grained semantic novelty detection task, which can be illustrated with the following example.
no code implementations • 4 Feb 2022 • Lei Shu, Hu Xu, Bing Liu, Jiahua Chen
Aspect-based sentiment analysis (ABSA) typically requires in-domain annotated data for supervised training/fine-tuning.
no code implementations • 3 Jul 2021 • Qiong Zhang, Jiahua Chen
Do we gain anything by learning finite location-scale mixtures via a minimum Wasserstein distance estimator (MWDE)?
1 code implementation • 20 Oct 2020 • Qiong Zhang, Jiahua Chen
Experiments based on simulated and real-world data show that the proposed split-and-conquer approach has comparable statistical performance with the global estimator based on the full dataset, if the latter is feasible.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Jiahua Chen, Shuai Wang, Sahisnu Mazumder, Bing Liu
Classifying and resolving coreferences of objects (e. g., product names) and attributes (e. g., product aspects) in opinionated reviews is crucial for improving the opinion mining performance.
1 code implementation • 19 Feb 2020 • Qiong Zhang, Archer Gong Zhang, Jiahua Chen
Although existing clustering-based methods are known for their satisfactory performance and computational efficiency, their convergence properties and optimal targets remain unknown.
no code implementations • 5 Jul 2016 • Jiahua Chen
The large-sample properties of likelihood-based statistical inference under mixture models have received much attention from statisticians.
Statistics Theory Statistics Theory 62F12