3 citations · 6 across the 5 of their papers we have counts for
5 papers
AcTED: Automatic Acquisition of Typical Event Duration for Semi-supervised Temporal Commonsense QA
Felix Virgo, Fei Cheng, Lis Kanashiro Pereira +3
We propose a voting-driven semi-supervised approach to automatically acquire the typical duration of an event and use it as pseudo-labeled data. The human evaluation demonstrates t…
OCHADAI at SemEval-2022 Task 2: Adversarial Training for Multilingual Idiomaticity Detection
Lis Kanashiro Pereira, Ichiro Kobayashi
We propose a multilingual adversarial training model for determining whether a sentence contains an idiomatic expression. Given that a key challenge with this task is the limited s…
Targeted Adversarial Training for Natural Language Understanding
Lis Pereira, Xiaodong Liu, Hao Cheng +3
We present a simple yet effective Targeted Adversarial Training (TAT) algorithm to improve adversarial training for natural language understanding. The key idea is to introspect cu…
Posterior Differential Regularization with f-divergence for Improving Model Robustness
Hao Cheng, Xiaodong Liu, Lis Pereira +2
We address the problem of enhancing model robustness through regularization. Specifically, we focus on methods that regularize the model posterior difference between clean and nois…
Adversarial Training for Commonsense Inference
Lis Pereira, Xiaodong Liu, Fei Cheng +2
We propose an AdversariaL training algorithm for commonsense InferenCE (ALICE). We apply small perturbations to word embeddings and minimize the resultant adversarial risk to regul…