Andrew O. Arnold

According to our database, Andrew O. Arnold authored at least 24 papers between 2007 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Uncertainty-Based Active Learning for Reading Comprehension.

Jing Wang, Jie Shen, Xiaofei Ma, Andrew O. Arnold

Trans. Mach. Learn. Res., 2022

Debiasing Neural Retrieval via In-batch Balancing Regularization.

Yuantong Li, Xiaokai Wei, Zijian Wang, Shen Wang, Parminder Bhatia, Xiaofei Ma, Andrew O. Arnold

CoRR, 2022

Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner.

Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Rui Dong, Xiaokai Wei, Henry Zhu, Xinchi Chen, Zhiheng Huang, Peng Xu, Andrew O. Arnold, Dan Roth

CoRR, 2022

QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition.

Andy T. Liu, Wei Xiao, Henghui Zhu, Dejiao Zhang, Shang-Wen Li, Andrew O. Arnold

CoRR, 2022

Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner.

Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Rui Dong, Xiaokai Wei, Henghui Zhu, Xinchi Chen, Peng Xu, Zhiheng Huang, Andrew O. Arnold, Dan Roth

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora.

Xisen Jin, Dejiao Zhang, Henghui Zhu, Wei Xiao, Shang-Wen Li, Xiaokai Wei, Andrew O. Arnold, Xiang Ren

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Learning Dialogue Representations from Consecutive Utterances.

Zhihan Zhou, Dejiao Zhang, Wei Xiao, Nicholas Dingwall, Xiaofei Ma, Andrew O. Arnold, Bing Xiang

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Self-Supervised Speaker Verification with Simple Siamese Network and Self-Supervised Regularization.

Mufan Sang, Haoqi Li, Fang Liu, Andrew O. Arnold, Li Wan

Proceedings of the IEEE International Conference on Acoustics, 2022

Virtual Augmentation Supported Contrastive Learning of Sentence Representations.

Dejiao Zhang, Wei Xiao, Henghui Zhu, Xiaofei Ma, Andrew O. Arnold

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization.

Zheng Li, Zijian Wang, Ming Tan, Ramesh Nallapati, Parminder Bhatia, Andrew O. Arnold, Bing Xiang, Dan Roth

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021

Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey.

Xiaokai Wei, Shen Wang, Dejiao Zhang, Parminder Bhatia, Andrew O. Arnold

CoRR, 2021

Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion.

Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu, Isabel F. Cruz

Proceedings of the WWW '21: The Web Conference 2021, 2021

Supporting Clustering with Contrastive Learning.

Dejiao Zhang, Feng Nan, Xiaokai Wei, Shang-Wen Li, Henghui Zhu, Kathleen R. McKeown, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Pairwise Supervised Contrastive Learning of Sentence Representations.

Dejiao Zhang, Shang-Wen Li, Wei Xiao, Henghui Zhu, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Knowledge Graph Representation via Hierarchical Hyperbolic Neural Graph Embedding.

Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Philip S. Yu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Improving Factual Consistency of Abstractive Summarization via Question Answering.

Feng Nan, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Kathleen R. McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O. Arnold, Bing Xiang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Contrastive Fine-tuning Improves Robustness for Neural Rankers.

Xiaofei Ma, Cícero Nogueira dos Santos, Andrew O. Arnold

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction.

Yifan Gao, Henghui Zhu, Patrick Ng, Cícero Nogueira dos Santos, Zhiguo Wang, Feng Nan, Dejiao Zhang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Guessing What's Plausible But Remembering What's True: Accurate Neural Reasoning for Question-Answering.

Haitian Sun, Andrew O. Arnold, Tania Bedrax-Weiss, Fernando Pereira, William W. Cohen

CoRR, 2020

Faithful Embeddings for Knowledge Base Queries.

Haitian Sun, Andrew O. Arnold, Tania Bedrax-Weiss, Fernando Pereira, William W. Cohen

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network.

Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Instance-based Transfer Learning for Multilingual Deep Retrieval.

Andrew O. Arnold, William W. Cohen

CoRR, 2019

2008

Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition.

Andrew O. Arnold, Ramesh Nallapati, William W. Cohen

Proceedings of the ACL 2008, 2008

2007

A Comparative Study of Methods for Transductive Transfer Learning.

Andrew O. Arnold, Ramesh Nallapati, William W. Cohen

Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007