반응형 자연어처리572 [2023-02-19] 오늘의 자연어처리 Dialogue State Distillation Network with Inter-Slot Contrastive Learning for Dialogue State Tracking In task-oriented dialogue systems, Dialogue State Tracking (DST) aims to extract users' intentions from the dialogue history. Currently, most existing approaches suffer from error propagation and are unable to dynamically select relevant information when utilizing previous dialogue states. Moreov.. 2023. 2. 19. [2023-02-18] 오늘의 자연어처리 A Survey on Event-based News Narrative Extraction Narratives are fundamental to our understanding of the world, providing us with a natural structure for knowledge representation over time. Computational narrative extraction is a subfield of artificial intelligence that makes heavy use of information retrieval and natural language processing techniques. Despite the importance of computational na.. 2023. 2. 18. [2023-02-17] 오늘의 자연어처리 Alloprof: a new French question-answer education dataset and its use in an information retrieval case study Teachers and students are increasingly relying on online learning resources to supplement the ones provided in school. This increase in the breadth and depth of available resources is a great thing for students, but only provided they are able to find answers to their queries. Question-ans.. 2023. 2. 17. [2023-02-16] 오늘의 자연어처리 SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains Prompting pre-trained language models leads to promising results across natural language processing tasks but is less effective when applied in low-resource domains, due to the domain gap between the pre-training data and the downstream task. In this work, we bridge this gap with a novel and ligh.. 2023. 2. 16. 이전 1 ··· 83 84 85 86 87 88 89 ··· 143 다음 반응형