Search Results for author:
Found 6 papers, 3 papers with code
Generalizable Implicit Hate Speech Detection Using Contrastive Learning
However, it is challenging to identify implicit hate speech in nuance or context when there are insufficient lexical cues.
Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification
Based on these findings, we propose to boost the attribution scores of the model trained with partial labels to make its explanation resemble that of the model trained with full labels.
Modularized Transfer Learning with Multiple Knowledge Graphs for Zero-shot Commonsense Reasoning
Towards this goal, we propose to mitigate the loss of knowledge from the interference among the different knowledge sources, by developing a modular variant of the knowledge aggregation as a new zero-shot commonsense reasoning framework.
Large Loss Matters in Weakly Supervised Multi-Label Classification
In this work, we first regard unobserved labels as negative labels, casting the WSML task into noisy multi-label classification.
Dual Task Framework for Improving Persona-grounded Dialogue Dataset
This paper introduces a simple yet effective data-centric approach for the task of improving persona-conditioned dialogue agents.
TrustAL: Trustworthy Active Learning using Knowledge Distillation
A traditional view of data acquisition is that, through iterations, knowledge from human labels and models is implicitly distilled to monotonically increase the accuracy and label consistency.
