Haibo Ding

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 19

Top Topics

Weakly Supervised

Knowledge Retrieval

Named Entity Recognition

Top Venues

Publications

Zhengbao Jiang, Jun Araki, Haibo Ding, Graham Neubig
Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering. CoRR (2022)
Zhengbao Jiang, Luyu Gao, Jun Araki, Haibo Ding, Zhiruo Wang, Jamie Callan, Graham Neubig
Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer. CoRR (2022)
Zhengbao Jiang, Luyu Gao, Zhiruo Wang, Jun Araki, Haibo Ding, Jamie Callan, Graham Neubig
Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer. EMNLP (2022)
Zhengbao Jiang, Jun Araki, Haibo Ding, Graham Neubig
Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering. COLING (2022)
Jiacheng Li, Haibo Ding, Jingbo Shang, Julian J. McAuley, Zhe Feng
Weakly Supervised Named Entity Tagging with Learnable Logical Rules. ACL/IJCNLP (1) (2021)
Pei Chen, Haibo Ding, Jun Araki, Ruihong Huang
Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity Recognition. ACL/IJCNLP (2) (2021)
Zhengbao Jiang, Jun Araki, Haibo Ding, Graham Neubig
Language Models Know? On the Calibration of Language Models for Question Answering. Trans. Assoc. Comput. Linguistics 9 (2021)
Xinyan Zhao, Haibo Ding, Zhe Feng
GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition. EACL (2021)
Xinyan Zhao, Haibo Ding, Zhe Feng
GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition. CoRR (2021)
Jiacheng Li, Haibo Ding, Jingbo Shang, Julian J. McAuley, Zhe Feng
Weakly Supervised Named Entity Tagging with Learnable Logical Rules. CoRR (2021)
Haibo Ding, Zhe Feng
Learning to Classify Human Needs of Events from Category Definitions with Prototypical Instantiation. EMNLP (Findings) (2020)
Zhengbao Jiang, Jun Araki, Haibo Ding, Graham Neubig
How Can We Know When Language Models Know? CoRR (2020)
Zhengbao Jiang, Antonios Anastasopoulos, Jun Araki, Haibo Ding, Graham Neubig
X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models. CoRR (2020)
Zhengbao Jiang, Antonios Anastasopoulos, Jun Araki, Haibo Ding, Graham Neubig
X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models. EMNLP (1) (2020)
Haibo Ding, Ellen Riloff, Zhe Feng
Improving Human Needs Categorization of Events with Semantic Classification. *SEM@NAACL-HLT (2019)
Haibo Ding, Ellen Riloff
Weakly Supervised Induction of Affective Events by Optimizing Semantic Consistency. AAAI (2018)
Haibo Ding, Tianyu Jiang, Ellen Riloff
Why Is an Event Affective? Classifying Affective Events Based on Human Needs. AAAI Workshops (2018)
Haibo Ding, Ellen Riloff
Human Needs Categorization of Affective Events Using Labeled and Unlabeled Data. NAACL-HLT (2018)
Haibo Ding, Ellen Riloff
Acquiring Knowledge of Affective Events from Blogs Using Label Propagation. AAAI (2016)
Haibo Ding, Ellen Riloff
Extracting Information about Medication Use from Veterinary Discussions. HLT-NAACL (2015)
Tong Xiao, Qiang Li, Qi Lu, Hao Zhang, Haibo Ding, Shujie Yao, Xiaoming Xu, Xiaoxu Fei, Jingbo Zhu, Feiliang Ren, Huizhen Wang
Machine Translation System for NTCIR-9 PatentMT. NTCIR (2011)
Huizhen Wang, Haibo Ding, Yingchao Shi, Ji Ma, Xiao Zhou, Jingbo Zhu
A Multi-stage Clustering Framework for Chinese Personal Name Disambiguation. CIPS-SIGHAN (2010)
Haibo Ding, Muhua Zhu, Jingbo Zhu
A reranking method for syntactic parsing with heterogeneous treebanks. NLPKE (2010)