Search Results for author: Yueheng Sun

Found 6 papers, 6 papers with code

A Fine-Grained Domain Adaption Model for Joint Word Segmentation and POS Tagging

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.

Domain Adaptation POS +1

Visual Spatial Description: Controlled Spatial-Oriented Image-to-Text Generation

1 code implementation20 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.

Image Captioning Text Generation

Domain-Specific NER via Retrieving Correlated Samples

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.

Named Entity Recognition

Identifying Chinese Opinion Expressions with Extremely-Noisy Crowdsourcing Annotations

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.

A Graph-Based Neural Model for End-to-End Frame Semantic Parsing

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.

graph construction Semantic Parsing +1

Crowdsourcing Learning as Domain Adaptation: A Case Study on Named Entity Recognition

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.

Domain Adaptation named-entity-recognition +3

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