Few-Sample Named Entity Recognition for Security Vulnerability Reports by Fine-Tuning Pre-Trained Language Models

1 code implementation • 14 Aug 2021 • Guanqun Yang, Shay Dineen, Zhipeng Lin, Xueqing Liu

In this work, for the first time, we propose to investigate this problem where only a small number of labeled training samples are available.

named-entity-recognition Named Entity Recognition +2

TestAug: A Framework for Augmenting Capability-based NLP Tests

1 code implementation • COLING 2022 • Guanqun Yang, Mirazul Haque, Qiaochu Song, Wei Yang, Xueqing Liu

Our experiments show that TestAug has three advantages over the existing work on behavioral testing: (1) TestAug can find more bugs than existing work; (2) The test cases in TestAug are more diverse; and (3) TestAug largely saves the manual efforts in creating the test suites.

HateModerate: Testing Hate Speech Detectors against Content Moderation Policies

1 code implementation • 23 Jul 2023 • Jiangrui Zheng, Xueqing Liu, Guanqun Yang, Mirazul Haque, Xing Qian, Ravishka Rathnasuriya, Wei Yang, Girish Budhrani

We observe significant improvement in the models' conformity to content policies while having comparable scores on the original test data.

Hate Speech Detection