반응형 오늘의 자연어 처리572 [2022-08-19] 오늘의 자연어처리 Learning Transductions to Test Systematic Compositionality Recombining known primitive concepts into larger novel combinations is a quintessentially human cognitive capability. Whether large neural models in NLP acquire this ability while learning from data is an open question. In this paper, we look at this problem from the perspective of formal languages. We use deterministic finite-state tran.. 2022. 8. 19. [2022-08-18] 오늘의 자연어처리 Temporal Concept Drift and Alignment: An empirical approach to comparing Knowledge Organization Systems over time This research explores temporal concept drift and temporal alignment in knowledge organization systems (KOS). A comparative analysis is pursued using the 1910 Library of Congress Subject Headings, 2020 FAST Topical, and automatic indexing. The use case involves a sample of 90 ninetee.. 2022. 8. 18. [2022-08-17] 오늘의 자연어처리 Exploring Generative Models for Joint Attribute Value Extraction from Product Titles Attribute values of the products are an essential component in any e-commerce platform. Attribute Value Extraction (AVE) deals with extracting the attributes of a product and their values from its title or description. In this paper, we propose to tackle the AVE task using generative frameworks. We present two t.. 2022. 8. 17. [2022-08-17] 오늘의 자연어처리 Exploring Generative Models for Joint Attribute Value Extraction from Product Titles Attribute values of the products are an essential component in any e-commerce platform. Attribute Value Extraction (AVE) deals with extracting the attributes of a product and their values from its title or description. In this paper, we propose to tackle the AVE task using generative frameworks. We present two t.. 2022. 8. 17. 이전 1 ··· 135 136 137 138 139 140 141 ··· 143 다음 반응형