Wenhan Xiong
5 papers in the PaperMetrix corpus
Papers by this author
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DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
2017 · arXiv (Cornell University)
We study the problem of learning to reason in large scale knowledge graphs (KGs). More specifically, we describe a novel reinforcement learning framework for learning multi-hop relational paths: we use a policy-based agent with continuous …
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Do Multi-hop Readers Dream of Reasoning Chains?
2019 · arXiv (Cornell University)
General Question Answering (QA) systems over texts require the multi-hop reasoning capability, i.e. the ability to reason with information collected from multiple passages to derive the answer. In this paper we conduct a systematic analysis …
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Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader
2019
We propose a new end-to-end question answering model, which learns to aggregate answer evidence from an incomplete knowledge base (KB) and a set of retrieved text snippets. Under the assumptions that the structured KB is …
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Sentence Embedding Alignment for Lifelong Relation Extraction
2019
Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long …
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Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language\n Model
2019 · arXiv (Cornell University)
Recent breakthroughs of pretrained language models have shown the\neffectiveness of self-supervised learning for a wide range of natural language\nprocessing (NLP) tasks. In addition to standard syntactic and semantic NLP\ntasks, pretrained models achieve strong improvements on …