Yajuan Lyu

Neural Knowledge Bank for Pretrained Transformers

2022 · arXiv (Cornell University)

The ability of pretrained Transformers to remember factual knowledge is essential but still limited for existing models. Inspired by existing work that regards Feed-Forward Networks (FFNs) in Transformers as key-value memories, we design a Neural …

Answer-focused and Position-aware Neural Question Generation

2018

In this paper, we focus on the problem of question generation (QG). Recent neural networkbased approaches employ the sequence-tosequence model which takes an answer and its context as input and generates a relevant question as …

Improving Neural Abstractive Document Summarization with Explicit Information Selection Modeling

2018

Information selection is the most important component in document summarization task. In this paper, we propose to extend the basic neural encoding-decoding framework with an information selection layer to explicitly model and optimize the information …

Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification

2018

Yizhong Wang, Kai Liu, Jing Liu, Wei He, Yajuan Lyu, Hua Wu, Sujian Li, Haifeng Wang. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2018.

DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications

2018

Wei He, Kai Liu, Jing Liu, Yajuan Lyu, Shiqi Zhao, Xinyan Xiao, Yuan Liu, Yizhong Wang, Hua Wu, Qiaoqiao She, Xuan Liu, Tian Wu, Haifeng Wang. Proceedings of the Workshop on Machine Reading for Question …

Event Extraction as Multi-turn Question Answering

2020

Event extraction, which aims to identify event triggers of pre-defined event types and their arguments of specific roles, is a challenging task in NLP. Most traditional approaches formulate this task as classification problems, with event …

Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction

2021 · Proceedings of the AAAI Conference on Artificial Intelligence

Entities, as the essential elements in relation extraction tasks, exhibit certain structure. In this work, we formulate such entity structure as distinctive dependencies between mention pairs. We then propose SSAN, which incorporates these structural dependencies …