반응형 분류 전체보기599 [2022-12-19] 오늘의 자연어처리 Retrieval-based Disentanglement with Distant Supervision Disentangled representation learning remains challenging as ground truth factors of variation do not naturally exist. To address this, we present Vocabulary Disentanglement Retrieval~(VDR), a simple yet effective retrieval-based disentanglement framework that leverages nature language as distant supervision. Our approach is built upon the .. 2022. 12. 19. [2022-12-18] 오늘의 자연어처리 TRIP: Triangular Document-level Pre-training for Multilingual Language Models Despite the current success of multilingual pre-training, most prior works focus on leveraging monolingual data or bilingual parallel data and overlooked the value of trilingual parallel data. This paper presents \textbf{Tri}angular Document-level \textbf{P}re-training (\textbf{TRIP}), which is the first in the field t.. 2022. 12. 18. [2022-12-18] 오늘의 자연어처리 Using Natural Language Processing to Predict Costume Core Vocabulary of Historical Artifacts Historic dress artifacts are a valuable source for human studies. In particular, they can provide important insights into the social aspects of their corresponding era. These insights are commonly drawn from garment pictures as well as the accompanying descriptions and are usually stored in a standardize.. 2022. 12. 18. [2022-12-17] 오늘의 자연어처리 Using Natural Language Processing to Predict Costume Core Vocabulary of Historical Artifacts Historic dress artifacts are a valuable source for human studies. In particular, they can provide important insights into the social aspects of their corresponding era. These insights are commonly drawn from garment pictures as well as the accompanying descriptions and are usually stored in a standardize.. 2022. 12. 17. 이전 1 ··· 100 101 102 103 104 105 106 ··· 150 다음 반응형