Search Results for author: Guangwei Xu

Found 10 papers, 5 papers with code

Prompt-Learning for Fine-Grained Entity Typing

no code implementations24 Aug 2021 Ning Ding, Yulin Chen, Xu Han, Guangwei Xu, Pengjun Xie, Hai-Tao Zheng, Zhiyuan Liu, Juanzi Li, Hong-Gee Kim

In this work, we investigate the application of prompt-learning on fine-grained entity typing in fully supervised, few-shot and zero-shot scenarios.

Entity Typing Language Modelling +2

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

2 code implementations 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 +2

Few-NERD: A Few-Shot Named Entity Recognition Dataset

1 code implementation ACL 2021 Ning Ding, Guangwei Xu, Yulin Chen, Xiaobin Wang, Xu Han, Pengjun Xie, Hai-Tao Zheng, Zhiyuan Liu

In this paper, we present Few-NERD, a large-scale human-annotated few-shot NER dataset with a hierarchy of 8 coarse-grained and 66 fine-grained entity types.

Few-shot NER NER

Probing BERT in Hyperbolic Spaces

1 code implementation ICLR 2021 Boli Chen, Yao Fu, Guangwei Xu, Pengjun Xie, Chuanqi Tan, Mosha Chen, Liping Jing

We introduce a Poincare probe, a structural probe projecting these embeddings into a Poincare subspace with explicitly defined hierarchies.

Word Embeddings

Keyphrase Extraction with Dynamic Graph Convolutional Networks and Diversified Inference

no code implementations24 Oct 2020 Haoyu Zhang, Dingkun Long, Guangwei Xu, Pengjun Xie, Fei Huang, Ji Wang

Keyphrase extraction (KE) aims to summarize a set of phrases that accurately express a concept or a topic covered in a given document.

Keyphrase Extraction Representation Learning

Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation

1 code implementation ACL 2020 Ning Ding, Dingkun Long, Guangwei Xu, Muhua Zhu, Pengjun Xie, Xiaobin Wang, Hai-Tao Zheng

In order to simultaneously alleviate these two issues, this paper proposes to couple distant annotation and adversarial training for cross-domain CWS.

Chinese Word Segmentation

Hierarchy-Aware Global Model for Hierarchical Text Classification

no code implementations ACL 2020 Jie Zhou, Chunping Ma, Dingkun Long, Guangwei Xu, Ning Ding, Haoyu Zhang, Pengjun Xie, Gongshen Liu

Hierarchical text classification is an essential yet challenging subtask of multi-label text classification with a taxonomic hierarchy.

Classification General Classification +1

A Hybrid System for Chinese Grammatical Error Diagnosis and Correction

no code implementations WS 2018 Chen Li, Junpei Zhou, Zuyi Bao, Hengyou Liu, Guangwei Xu, Linlin Li

In the correction stage, candidates were generated by the three GEC models and then merged to output the final corrections for M and S types.

Grammatical Error Correction

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