Stanza: A Python Natural Language Processing Toolkit for Many Human Languages ACL

Peng Qi | Yuhao Zhang | Yuhui Zhang | Jason Bolton | Christopher D. Manning |

Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations EMNLP Findings

Peng Qi | Yuhao Zhang | Christopher D. Manning |

Answering Complex Open-domain Questions Through Iterative Query Generation EMNLP

Peng Qi | Xiaowen Lin | Leo Mehr | Zijian Wang | Christopher D. Manning |

Graph Convolution over Pruned Dependency Trees Improves Relation Extraction EMNLP

Yuhao Zhang | Peng Qi | Christopher D. Manning |

HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering EMNLP

Zhilin Yang | Peng Qi | Saizheng Zhang | Yoshua Bengio | William Cohen | Ruslan Salakhutdinov | Christopher D. Manning |

Universal Dependency Parsing from Scratch CoNLL

Peng Qi | Timothy Dozat | Yuhao Zhang | Christopher D. Manning |

Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context ACL

Urvashi Khandelwal | He He | Peng Qi | Dan Jurafsky |

Stanford’s Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task CoNLL

Timothy Dozat | Peng Qi | Christopher D. Manning |

Arc-swift: A Novel Transition System for Dependency Parsing ACL

Peng Qi | Christopher D. Manning |