Xiao Ding

e-CARE: a New Dataset for Exploring Explainable Causal Reasoning

2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Understanding causality has vital importance for various Natural Language Processing (NLP) applications. Beyond the labeled instances, conceptual explanations of the causality can provide deep understanding of the causal facts to facilitate the causal reasoning process. …

Final: Combining First-Order Logic With Natural Logic for Question Answering

2025 · IEEE Transactions on Knowledge and Data Engineering

Many question-answering problems can be approached as textual entailment tasks, where the hypotheses are formed by the question and candidate answers, and the premises are derived from an external knowledge base. However, current neural methods …