32 citations · 48 across the 9 of their papers we have counts for
8 papers · 1 filter
HIORE: Leveraging High-order Interactions for Unified Entity Relation Extraction
Yijun Wang, Changzhi Sun, Yuanbin Wu +3
Entity relation extraction consists of two sub-tasks: entity recognition and relation extraction. Existing methods either tackle these two tasks separately or unify them with word-…
ANALOGYKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge Base
Siyu Yuan, Jiangjie Chen, Changzhi Sun +3
Analogical reasoning is a fundamental cognitive ability of humans. However, current language models (LMs) still struggle to achieve human-like performance in analogical reasoning t…
Converge to the Truth: Factual Error Correction via Iterative Constrained Editing
Jiangjie Chen, Rui Xu, Wenxuan Zeng +3
Given a possibly false claim sentence, how can we automatically correct it with minimal editing? Existing methods either require a large number of pairs of false and corrected clai…
E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning
Jiangjie Chen, Rui Xu, Ziquan Fu +7
The ability to recognize analogies is fundamental to human cognition. Existing benchmarks to test word analogy do not reveal the underneath process of analogical reasoning of neura…
Learning Logic Rules for Document-level Relation Extraction
Dongyu Ru, Changzhi Sun, Jiangtao Feng +5
Document-level relation extraction aims to identify relations between entities in a whole document. Prior efforts to capture long-range dependencies have relied heavily on implicit…
UniRE: A Unified Label Space for Entity Relation Extraction
Yijun Wang, Changzhi Sun, Yuanbin Wu +3
Many joint entity relation extraction models setup two separated label spaces for the two sub-tasks (i.e., entity detection and relation classification). We argue that this setting…
Probabilistic Graph Reasoning for Natural Proof Generation
Changzhi Sun, Xinbo Zhang, Jiangjie Chen +5
In this paper, we investigate the problem of reasoning over natural language statements. Prior neural based approaches do not explicitly consider the inter-dependency among answers…
LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification
Jiangjie Chen, Qiaoben Bao, Changzhi Sun +5
Given a natural language statement, how to verify its veracity against a large-scale textual knowledge source like Wikipedia? Most existing neural models make predictions without g…