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20202022
most citedHow Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering

40 citations · 53 across the 6 of their papers we have counts for

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Showing 2021 · cs.CLShow all

2 papers · 2 filters

cs.CL2021★ 1 cited

Weakly Supervised Named Entity Tagging with Learnable Logical Rules

Jiacheng Li, Haibo Ding, Jingbo Shang +2

We study the problem of building entity tagging systems by using a few rules as weak supervision. Previous methods mostly focus on disambiguation entity types based on contexts and…

cs.CL2021

GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition

Xinyan Zhao, Haibo Ding, Zhe Feng

Instead of using expensive manual annotations, researchers have proposed to train named entity recognition (NER) systems using heuristic labeling rules. However, devising labeling…