Gated Relational Encoder-Decoder Model for Target-Oriented Opinion Word Extraction

Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking

객체 검출 기반 다중 모달리티 어텐션 향상

COVID-19 심각성 예측을 위한 딥러닝 전이학습

Modality Alignment between Deep Representations for Effective Video-and-Language Learning

Subgraph Representation Learning With Hard Negative Samples for Inductive Link Prediction

VarianceFlow: High-quality and Controllable Text-to-Speech Using Variance Information via Normalizing Flow

Deriving Explainable Discriminative Attributes using Confusion about Counterfactual Class

Action-driven contrastive representation for reinforcement learning

RABERT: Relation-Aware BERT for Target-Oriented Opinion Words Extraction