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ORCIDXinying Qiu
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- affiliation: Guangdong University of Foreign Studies, Guangzhou, China
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2020 – today
- 2024
[i10]Jingshen Zhang, Jiajun Xie, Xinying Qiu:
Controlling Cloze-test Question Item Difficulty with PLM-based Surrogate Models for IRT Assessment. CoRR abs/2403.01456 (2024)- [i9]Jingshen Zhang, Xinglu Chen, Xinying Qiu, Zhimin Wang, Wenhe Feng:
Readability-guided Idiom-aware Sentence Simplification (RISS) for Chinese. CoRR abs/2406.02974 (2024) - [i8]Kailin Zhang, Xinying Qiu:
Comparing Feature-based and Context-aware Approaches to PII Generalization Level Prediction. CoRR abs/2407.02837 (2024) - [i7]Jingshen Zhang, Xinying Qiu, Teng Shen, Wenyu Wang, Kailin Zhang, Wenhe Feng:
Cross-Lingual Word Alignment for ASEAN Languages with Contrastive Learning. CoRR abs/2407.05054 (2024) - [i6]Jingshen Zhang, Xiangyu Yang, Xinkai Su, Xinglu Chen, Tianyou Huang, Xinying Qiu:
System Report for CCL24-Eval Task 7: Multi-Error Modeling and Fluency-Targeted Pre-training for Chinese Essay Evaluation. CoRR abs/2407.08206 (2024) - 2022
- [j5]Xinying Qiu
, Shuxuan Liao, Jiajun Xie, Jian-Yun Nie:
Tapping the Potential of Coherence and Syntactic Features in Neural Models for Automatic Essay Scoring. Int. J. Asian Lang. Process. 32(2&3): 2350006:1-2350006:16 (2022) - [c17]Xinying Qiu, Shuxuan Liao, Jiajun Xie, Jian-Yun Nie:
Tapping the Potential of Coherence and Syntactic Features in Neural Models for Automatic Essay Scoring. IALP 2022: 407-412 - [c16]Xinying Qiu, Guofeng Shi:
InDEX: Indonesian Idiom and Expression Dataset for Cloze Test. IALP 2022: 439-444 - [i5]Yingwen Fu, Jinyi Chen, Nankai Lin, Xixuan Huang, Xinying Qiu, Shengyi Jiang:
Yunshan Cup 2020: Overview of the Part-of-Speech Tagging Task for Low-resourced Languages. CoRR abs/2204.02658 (2022) - [i4]Xinying Qiu, Shuxuan Liao, Jiajun Xie, Jian-Yun Nie:
Tapping the Potential of Coherence and Syntactic Features in Neural Models for Automatic Essay Scoring. CoRR abs/2211.13373 (2022) - [i3]Xinying Qiu, Guofeng Shi:
InDEX: Indonesian Idiom and Expression Dataset for Cloze Test. CoRR abs/2211.13376 (2022) - 2021
- [c15]Xinying Qiu, Yuan Chen, Hanwu Chen, Jian-Yun Nie, Yuming Shen, Dawei Lu:
Learning Syntactic Dense Embedding with Correlation Graph for Automatic Readability Assessment. ACL/IJCNLP (1) 2021: 3013-3025 - [c14]Xiaotian Lin, Nankai Lin, Lixian Xiao, Shengyi Jiang, Xinying Qiu:
Towards Indonesian Phrase Extraction: Framework and Corpus. Big Data (CCF) 2021: 25-37 - [c13]Xinying Qiu, Haiwei Xue, Lingfeng Liang, Zexin Xie, Shuxuan Liao, Guofeng Shi:
Automatic Generation of Multiple-choice Cloze-test Questions for Lao Language Learning. IALP 2021: 125-130 - [i2]Xinying Qiu, Yuan Chen, Hanwu Chen, Jian-Yun Nie, Yuming Shen, Dawei Lu:
Learning Syntactic Dense Embedding with Correlation Graph for Automatic Readability Assessment. CoRR abs/2107.04268 (2021)
2010 – 2019
- 2019
- [c12]Dawei Lu, Xinying Qiu, Yi Cai:
Sentence-Level Readability Assessment for L2 Chinese Learning. CLSW 2019: 381-392 - [c11]Xinying Qiu, Dawei Lu, Yuming Shen, Yi Cai:
Linguistic Feature Representation with Statistical Relational Learning for Readability Assessment. NLPCC (2) 2019: 360-369 - 2017
- [c10]Xinying Qiu, Kebin Deng, Likun Qiu, Xin Wang:
Exploring the Impact of Linguistic Features for Chinese Readability Assessment. NLPCC 2017: 771-783 - 2016
- [c9]Xinying Qiu, Xiaoxin Lin, Likun Qiu:
Feature Representation Models for Cyber Attack Event Extraction. WI Workshops 2016: 29-32 - [c8]Xinying Qiu, Gangqin Zhu:
Learning Indonesian-Chinese Lexicon with Bilingual Word Embedding Models and Monolingual Signals. WSSANLP@COLING 2016: 188-193 - 2015
- [c7]Tianyong Hao, Xinying Qiu, Shengyi Jiang:
Leveraging Semantic Labeling for Question Matching to Facilitate Question-Answer Archive Reuse. ICIC (1) 2015: 65-75 - 2014
- [j4]Xin Ying Qiu, Padmini Srinivasan, Yong Hu:
Supervised learning models to predict firm performance with annual reports: An empirical study. J. Assoc. Inf. Sci. Technol. 65(2): 400-413 (2014) - 2013
- [c6]Xinying Qiu, Shengyi Jiang, Kebin Deng:
Automatic Assessment of Information Disclosure Quality in Chinese Annual Reports. NLPCC 2013: 288-298 - [c5]Yong Hu, Bin Feng, Xiangzhou Zhang, Xin Ying Qiu, Risong Li, Kang Xie:
A Prediction Model for Stock Market: A Comparison of The World's Top Investors with Data Mining Method. WHICEB 2013: 107 - 2012
- [i1]Xin Ying Qiu, Xiaoting Li, Weijian Mo, Manli Zheng, Zhuhe Zheng:
GDUFS at Slot Filling TAC-KBP 2012. TAC 2012 - 2010
- [j3]Ramji Balakrishnan, Xin Ying Qiu, Padmini Srinivasan:
On the predictive ability of narrative disclosures in annual reports. Eur. J. Oper. Res. 202(3): 789-801 (2010) - [j2]Xin Ying Qiu:
Towards Building Ranking Models with Annual Reports. J. Digit. Inf. Manag. 8(5): 339-344 (2010)
2000 – 2009
- 2009
- [c4]Xin Ying Qiu:
Learning to rank firms with annual reports. ICDIM 2009: 178-183 - 2007
- [j1]Padmini Srinivasan, Xin Ying Qiu:
GO for gene documents. BMC Bioinform. 8(S-9) (2007) - 2006
- [c3]Xin Ying Qiu, Padmini Srinivasan, W. Nick Street:
Exploring the Forecasting Potential of Company Annual Reports. ASIST 2006: 1-15 - 2004
- [c2]David Eichmann, Yi Zhang, Shannon Bradshaw, Xin Ying Qiu, Li Zhou, Padmini Srinivasan, Aditya Kumar Sehgal, Hudon Wong:
Novelty, Question Answering and Genomics: The University of Iowa Response. TREC 2004 - 2003
- [c1]David Eichmann, Padmini Srinivasan, Marc Light, Hudong Wang, Xin Ying Qiu, Robert J. Arens, Aditya Kumar Sehgal:
Experiments in Novelty, Genes and Questions at the University of Iowa. TREC 2003: 678-685
Coauthor Index
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