Haibo Ding

According to our database, Haibo Ding authored at least 19 papers between 2010 and 2022.

Collaborative distances:

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

2022

Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer.

Zhengbao Jiang, Luyu Gao, Zhiruo Wang, Jun Araki, Haibo Ding, Jamie Callan, Graham Neubig

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering.

Zhengbao Jiang, Jun Araki, Haibo Ding, Graham Neubig

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

How Can We Know <i>When</i> Language Models Know? On the Calibration of Language Models for Question Answering.

Zhengbao Jiang, Jun Araki, Haibo Ding, Graham Neubig

Trans. Assoc. Comput. Linguistics, 2021

GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition.

Xinyan Zhao, Haibo Ding, Zhe Feng

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Weakly Supervised Named Entity Tagging with Learnable Logical Rules.

Jiacheng Li, Haibo Ding, Jingbo Shang, Julian J. McAuley, Zhe Feng

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

Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity Recognition.

Pei Chen, Haibo Ding, Jun Araki, Ruihong Huang

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

2020

How Can We Know When Language Models Know?

Zhengbao Jiang, Jun Araki, Haibo Ding, Graham Neubig

CoRR, 2020

X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models.

Zhengbao Jiang, Antonios Anastasopoulos, Jun Araki, Haibo Ding, Graham Neubig

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

Learning to Classify Human Needs of Events from Category Definitions with Prototypical Instantiation.

Haibo Ding, Zhe Feng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Improving Human Needs Categorization of Events with Semantic Classification.

Haibo Ding, Ellen Riloff, Zhe Feng

Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics, 2019

2018

Affective Polarity Recognition and Human Needs Categorization for Affective Events.

Haibo Ding

PhD thesis, 2018

Human Needs Categorization of Affective Events Using Labeled and Unlabeled Data.

Haibo Ding, Ellen Riloff

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Weakly Supervised Induction of Affective Events by Optimizing Semantic Consistency.

Haibo Ding, Ellen Riloff

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Why Is an Event Affective? Classifying Affective Events Based on Human Needs.

Haibo Ding, Tianyu Jiang, Ellen Riloff

Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016

Acquiring Knowledge of Affective Events from Blogs Using Label Propagation.

Haibo Ding, Ellen Riloff

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Extracting Information about Medication Use from Veterinary Discussions.

Haibo Ding, Ellen Riloff

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

2011

The <i>NiuTrans</i> Machine Translation System for NTCIR-9 PatentMT.

Tong Xiao, Qiang Li, Qi Lu, Hao Zhang, Haibo Ding, Shujie Yao, Xiaoming Xu, Xiaoxu Fei, Jingbo Zhu, Feiliang Ren, Huizhen Wang

Proceedings of the 9th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, 2011

2010

A reranking method for syntactic parsing with heterogeneous treebanks.

Haibo Ding, Muhua Zhu, Jingbo Zhu

Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering, 2010

A Multi-stage Clustering Framework for Chinese Personal Name Disambiguation.

Huizhen Wang, Haibo Ding, Yingchao Shi, Ji Ma, Xiao Zhou, Jingbo Zhu

Proceedings of the CIPS-SIGHAN Joint Conference on Chinese Language Processing, 2010