183 citations · 390 across the 7 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.CL2018★ 7 cited
Relation Mention Extraction from Noisy Data with Hierarchical Reinforcement Learning
Jun Feng, Minlie Huang, Yijie Zhang +2
In this paper we address a task of relation mention extraction from noisy data: extracting representative phrases for a particular relation from noisy sentences that are collected…
cs.AI2018★ 14 cited
Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning
Jun Feng, Heng Li, Minlie Huang +4
Ranking is a fundamental and widely studied problem in scenarios such as search, advertising, and recommendation. However, joint optimization for multi-scenario ranking, which aims…
cs.IR2018★ 183 cited
Reinforcement Learning for Relation Classification from Noisy Data
Jun Feng, Minlie Huang, Li Zhao +2
Existing relation classification methods that rely on distant supervision assume that a bag of sentences mentioning an entity pair are all describing a relation for the entity pair…