반응형 자연어처리572 [2022-08-16] 오늘의 자연어처리 Memory-Driven Text-to-Image Generation We introduce a memory-driven semi-parametric approach to text-to-image generation, which is based on both parametric and non-parametric techniques. The non-parametric component is a memory bank of image features constructed from a training set of images. The parametric component is a generative adversarial network. Given a new text description at inference .. 2022. 8. 16. [2022-08-16] 오늘의 자연어처리 Domain-Specific Text Generation for Machine Translation Preservation of domain knowledge from the source to target is crucial in any translation workflow. It is common in the translation industry to receive highly specialized projects, where there is hardly any parallel in-domain data. In such scenarios where there is insufficient in-domain data to fine-tune Machine Translation (MT) models, prod.. 2022. 8. 16. [2022-08-15] 오늘의 자연어처리 Speech Synthesis with Mixed Emotions Emotional speech synthesis aims to synthesize human voices with various emotional effects. The current studies are mostly focused on imitating an averaged style belonging to a specific emotion type. In this paper, we seek to generate speech with a mixture of emotions at run-time. We propose a novel formulation that measures the relative difference between the.. 2022. 8. 15. [2022-08-15] 오늘의 자연어처리 The Moral Foundations Reddit Corpus Moral framing and sentiment can affect a variety of online and offline behaviors, including donation, pro-environmental action, political engagement, and even participation in violent protests. Various computational methods in Natural Language Processing (NLP) have been used to detect moral sentiment from textual data, but in order to achieve better performanc.. 2022. 8. 15. 이전 1 ··· 136 137 138 139 140 141 142 143 다음 반응형