Yuxiang Wu

Towards Fine-grained Causal Reasoning and QA

2022 · arXiv (Cornell University)

Understanding causality is key to the success of NLP applications, especially in high-stakes domains. Causality comes in various perspectives such as enable and prevent that, despite their importance, have been largely ignored in the literature. …

Learning to Extract Coherent Summary via Deep Reinforcement Learning

2018 · Proceedings of the AAAI Conference on Artificial Intelligence

Coherence plays a critical role in producing a high-quality summary from a document. In recent years, neural extractive summarization is becoming increasingly attractive. However, most of them ignore the coherence of summaries when extracting sentences. …

Language Models as Knowledge Bases?

2019

Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, Alexander Miller. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language …