8 citations · 12 across the 8 of their papers we have counts for
8 papers
ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion
Pei Chen, Wenlin Yao, Hongming Zhang +4
Knowledge base completion (KBC) aims to predict the missing links in knowledge graphs. Previous KBC tasks and approaches mainly focus on the setting where all test entities and rel…
Efficient Zero-shot Event Extraction with Context-Definition Alignment
Hongming Zhang, Wenlin Yao, Dong Yu
Event extraction (EE) is the task of identifying interested event mentions from text. Conventional efforts mainly focus on the supervised setting. However, these supervised models…
Salience Allocation as Guidance for Abstractive Summarization
Fei Wang, Kaiqiang Song, Hongming Zhang +6
Abstractive summarization models typically learn to capture the salient information from scratch implicitly. Recent literature adds extractive summaries as guidance for abstractive…
Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination
Yue Yang, Wenlin Yao, Hongming Zhang +3
Large-scale pretrained language models have made significant advances in solving downstream language understanding tasks. However, they generally suffer from reporting bias, the ph…
C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References
Xiang Yue, Xiaoman Pan, Wenlin Yao +3
We consider the problem of pretraining a two-stage open-domain question answering (QA) system (retriever + reader) with strong transfer capabilities. The key challenge is how to co…
Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension
Chao Zhao, Wenlin Yao, Dian Yu +3
Comprehending a dialogue requires a model to capture diverse kinds of key information in the utterances, which are either scattered around or implicitly implied in different turns…