반응형 논문572 [2022-10-10] 오늘의 자연어처리 Detecting Narrative Elements in Informational Text Automatic extraction of narrative elements from text, combining narrative theories with computational models, has been receiving increasing attention over the last few years. Previous works have utilized the oral narrative theory by Labov and Waletzky to identify various narrative elements in personal stories texts. Instead, we direct our focus .. 2022. 10. 10. [2022-10-09] 오늘의 자연어처리 Retrieval of Soft Prompt Enhances Zero-Shot Task Generalization During zero-shot inference with language models (LMs), using hard prompts alone may not be able to fully describe the target task. In this paper, we explore how the retrieval of soft prompts obtained through prompt tuning can assist hard prompts in zero-shot task generalization. Specifically, we train soft prompt embeddings for each.. 2022. 10. 9. [2022-10-08] 오늘의 자연어처리 Detecting Narrative Elements in Informational Text Automatic extraction of narrative elements from text, combining narrative theories with computational models, has been receiving increasing attention over the last few years. Previous works have utilized the oral narrative theory by Labov and Waletzky to identify various narrative elements in personal stories texts. Instead, we direct our focus .. 2022. 10. 8. [2022-10-07] 오늘의 자연어처리 COMPS: Conceptual Minimal Pair Sentences for testing Property Knowledge and Inheritance in Pre-trained Language Models A characteristic feature of human semantic memory is its ability to not only store and retrieve the properties of concepts observed through experience, but to also facilitate the inheritance of properties (can breathe) from superordinate concepts (animal) to their subordinates (.. 2022. 10. 7. 이전 1 ··· 118 119 120 121 122 123 124 ··· 143 다음 반응형