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Found 7 papers, 3 papers with code
KOAS: Korean Text Offensiveness Analysis System
Warning: This manuscript contains a certain level of offensive expression.
Learning from Missing Relations: Contrastive Learning with Commonsense Knowledge Graphs for Commonsense Inference
Commonsense inference poses a unique challenge to reason and generate the physical, social, and causal conditions of a given event.
Dynamic Structure Pruning for Compressing CNNs
In this work, we introduce a novel structure pruning method, termed as dynamic structure pruning, to identify optimal pruning granularities for intra-channel pruning.
Efficient Pre-training of Masked Language Model via Concept-based Curriculum Masking
Masked language modeling (MLM) has been widely used for pre-training effective bidirectional representations, but incurs substantial training costs.
Multi-pretraining for Large-scale Text Classification
In addition, we propose a weakly supervised pretraining, where labels for text classification are obtained automatically from an existing approach.
A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings
We present an operator-free, measure-theoretic approach to the conditional mean embedding (CME) as a random variable taking values in a reproducing kernel Hilbert space.
Adaptive Convolution for Text Classification
We show the efficacy of our approach in existing CNNs based on the performance evaluation.
