1 code implementation • EMNLP 2021 • Peijie Jiang, Dingkun Long, Yueheng Sun, Meishan Zhang, Guangwei Xu, Pengjun Xie
Self-training is one promising solution for it, which struggles to construct a set of high-quality pseudo training instances for the target domain.
1 code implementation • 20 Oct 2022 • Yu Zhao, Jianguo Wei, Zhichao Lin, Yueheng Sun, Meishan Zhang, Min Zhang
Accordingly, we manually annotate a dataset to facilitate the investigation of the newly-introduced task and build several benchmark encoder-decoder models by using VL-BART and VL-T5 as backbones.
1 code implementation • COLING 2022 • Xin Zhang, Yong Jiang, Xiaobin Wang, Xuming Hu, Yueheng Sun, Pengjun Xie, Meishan Zhang
Successful Machine Learning based Named Entity Recognition models could fail on texts from some special domains, for instance, Chinese addresses and e-commerce titles, where requires adequate background knowledge.
1 code implementation • ACL 2022 • Xin Zhang, Guangwei Xu, Yueheng Sun, Meishan Zhang, Xiaobin Wang, Min Zhang
Recent works of opinion expression identification (OEI) rely heavily on the quality and scale of the manually-constructed training corpus, which could be extremely difficult to satisfy.
1 code implementation • EMNLP 2021 • Zhichao Lin, Yueheng Sun, Meishan Zhang
The three subtasks are closely related while previous studies model them individually, which ignores their intern connections and meanwhile induces error propagation problem.
1 code implementation • ACL 2021 • Xin Zhang, Guangwei Xu, Yueheng Sun, Meishan Zhang, Pengjun Xie
Crowdsourcing is regarded as one prospective solution for effective supervised learning, aiming to build large-scale annotated training data by crowd workers.