9 citations · 18 across the 8 of their papers we have counts for
8 papers
AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language Processing
Asaad Alghamdi, Xinyu Duan, Wei Jiang +9
Developing monolingual large Pre-trained Language Models (PLMs) is shown to be very successful in handling different tasks in Natural Language Processing (NLP). In this work, we pr…
A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends
Xiaoye Qu, Yingjie Gu, Qingrong Xia +3
As more and more Arabic texts emerged on the Internet, extracting important information from these Arabic texts is especially useful. As a fundamental technology, Named entity reco…
MuCPAD: A Multi-Domain Chinese Predicate-Argument Dataset
Yahui Liu, Haoping Yang, Chen Gong +3
During the past decade, neural network models have made tremendous progress on in-domain semantic role labeling (SRL). However, performance drops dramatically under the out-of-doma…
Fast and Accurate End-to-End Span-based Semantic Role Labeling as Word-based Graph Parsing
Shilin Zhou, Qingrong Xia, Zhenghua Li +3
This paper proposes to cast end-to-end span-based SRL as a word-based graph parsing task. The major challenge is how to represent spans at the word level. Borrowing ideas from rese…
Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments
Yu Zhang, Qingrong Xia, Shilin Zhou +3
Semantic role labeling (SRL) is a fundamental yet challenging task in the NLP community. Recent works of SRL mainly fall into two lines: 1) BIO-based; 2) span-based. Despite ubiqui…
A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling
Qingrong Xia, Zhenghua Li, Min Zhang
Semantic role labeling (SRL) aims to identify the predicate-argument structure of a sentence. Inspired by the strong correlation between syntax and semantics, previous works pay mu…
Syntax-aware Neural Semantic Role Labeling
Qingrong Xia, Zhenghua Li, Min Zhang +4
Semantic role labeling (SRL), also known as shallow semantic parsing, is an important yet challenging task in NLP. Motivated by the close correlation between syntactic and semantic…
Word Segmentation on Micro-blog Texts with External Lexicon and Heterogeneous Data
Qingrong Xia, Zhenghua Li, Jiayuan Chao +1
This paper describes our system designed for the NLPCC 2016 shared task on word segmentation on micro-blog texts.