activity
20142023
most citedEmpower Sequence Labeling with Task-Aware Neural Language Model

151 citations · 498 across the 65 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.LG2020★ 1 cited

Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training

Zichao Li, Liyuan Liu, Chengyu Dong +1

Our goal is to understand why the robustness drops after conducting adversarial training for too long. Although this phenomenon is commonly explained as overfitting, our analysis s…

cs.CL2020★ 7 cited

X-Class: Text Classification with Extremely Weak Supervision

Zihan Wang, Dheeraj Mekala, Jingbo Shang

In this paper, we explore text classification with extremely weak supervision, i.e., only relying on the surface text of class names. This is a more challenging setting than the se…

cs.CL2020

SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery

Jiaming Shen, Wenda Qiu, Jingbo Shang +3

Entity set expansion and synonym discovery are two critical NLP tasks. Previous studies accomplish them separately, without exploring their interdependencies. In this work, we hypo…

cs.CL2020★ 1 cited

User-Guided Aspect Classification for Domain-Specific Texts

Peiran Li, Fang Guo, Jingbo Shang

Aspect classification, identifying aspects of text segments, facilitates numerous applications, such as sentiment analysis and review summarization. To alleviate the human effort o…

cs.CL2020★ 2 cited

Empower Entity Set Expansion via Language Model Probing

Yunyi Zhang, Jiaming Shen, Jingbo Shang +1

Entity set expansion, aiming at expanding a small seed entity set with new entities belonging to the same semantic class, is a critical task that benefits many downstream NLP and I…