반응형 자연어처리572 [2022-12-22] 오늘의 자연어처리 Semantically-informed Hierarchical Event Modeling Prior work has shown that coupling sequential latent variable models with semantic ontological knowledge can improve the representational capabilities of event modeling approaches. In this work, we present a novel, doubly hierarchical, semi-supervised event modeling framework that provides structural hierarchy while also accounting for ontologica.. 2022. 12. 22. [2022-12-21] 오늘의 자연어처리 Resoling Open-textured Rules with Templated Interpretive Arguments Open-textured terms in written rules are typically settled through interpretive argumentation. Ongoing work has attempted to catalogue the schemes used in such interpretive argumentation. But how can the use of these schemes affect the way in which people actually use and reason over the proper interpretations of open-textured te.. 2022. 12. 21. [2022-12-20] 오늘의 자연어처리 Fast Rule-Based Decoding: Revisiting Syntactic Rules in Neural Constituency Parsing Most recent studies on neural constituency parsing focus on encoder structures, while few developments are devoted to decoders. Previous research has demonstrated that probabilistic statistical methods based on syntactic rules are particularly effective in constituency parsing, whereas syntactic rules are not use.. 2022. 12. 20. [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. 이전 1 ··· 98 99 100 101 102 103 104 ··· 143 다음 반응형