반응형 분류 전체보기599 [2023-02-27] 오늘의 자연어처리 What makes a language easy to deep-learn? Neural networks drive the success of natural language processing. A fundamental property of natural languages is their compositional structure, allowing us to describe new meanings systematically. However, neural networks notoriously struggle with systematic generalization and do not necessarily benefit from a compositional structure in emergent communic.. 2023. 2. 27. [2023-02-26] 오늘의 자연어처리 Coarse-to-Fine Knowledge Selection for Document Grounded Dialogs Multi-document grounded dialogue systems (DGDS) belong to a class of conversational agents that answer users' requests by finding supporting knowledge from a collection of documents. Most previous studies aim to improve the knowledge retrieval model or propose more effective ways to incorporate external knowledge into a parametric .. 2023. 2. 26. [2023-02-25] 오늘의 자연어처리 Empathetic Response Generation via Emotion Cause Transition Graph Empathetic dialogue is a human-like behavior that requires the perception of both affective factors (e.g., emotion status) and cognitive factors (e.g., cause of the emotion). Besides concerning emotion status in early work, the latest approaches study emotion causes in empathetic dialogue. These approaches focus on understanding a.. 2023. 2. 25. [2023-02-24] 오늘의 자연어처리 Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities Large-scale multi-modal pre-training models such as CLIP and PaLI exhibit strong generalization on various visual domains and tasks. However, existing image classification benchmarks often evaluate recognition on a specific domain (e.g., outdoor images) or a specific task (e.g., classifying plant species), .. 2023. 2. 24. 이전 1 ··· 81 82 83 84 85 86 87 ··· 150 다음 반응형