Yangfan Zhang — accepted AI-conference papers

2023

Event-Centric Query Expansion in Web Search

Yanan Zhang, Weijie Cui, Yangfan Zhang, Xiaoling Bai, Zhe Zhang, Jin Ma +2

ACL 2023industry

In search engines, query expansion (QE) is a crucial technique to improve search experience. Previous studies often rely on long-term search log mining, which leads to slow updates and is sub-optimal for time-sensitive news searches. In this work, we present Event-Centric Query Expansion (EQE), the…

Cited by 2 Source ↗PDF ↗Scholar ↗

2022

Title2Event: Benchmarking Open Event Extraction with a Large-scale Chinese Title Dataset

Haolin Deng, Yanan Zhang, Yangfan Zhang, Wangyang Ying, Changlong Yu, Jun Gao +6

EMNLP 2022main

Event extraction (EE) is crucial to downstream tasks such as new aggregation and event knowledge graph construction. Most existing EE datasets manually define fixed event types and design specific schema for each of them, failing to cover diverse events emerging from the online text. Moreover, news…

Cited by 10 Source ↗PDF ↗code ↗Scholar ↗