반응형 논문572 [2022-10-29] 오늘의 자연어처리 FCTalker: Fine and Coarse Grained Context Modeling for Expressive Conversational Speech Synthesis Conversational Text-to-Speech (TTS) aims to synthesis an utterance with the right linguistic and affective prosody in a conversational context. The correlation between the current utterance and the dialogue history at the utterance level was used to improve the expressiveness of synthesized speech. .. 2022. 10. 29. [2022-10-28] 오늘의 자연어처리 Unifying Data Perspectivism and Personalization: An Application to Social Norms Instead of using a single ground truth for language processing tasks, several recent studies have examined how to represent and predict the labels of the set of annotators. However, often little or no information about annotators is known, or the set of annotators is small. In this work, we examine a corpus of social.. 2022. 10. 28. [2022-10-27] 오늘의 자연어처리 Learning to Reuse Distractors to support Multiple Choice Question Generation in Education Multiple choice questions (MCQs) are widely used in digital learning systems, as they allow for automating the assessment process. However, due to the increased digital literacy of students and the advent of social media platforms, MCQ tests are widely shared online, and teachers are continuously challenged.. 2022. 10. 27. [2022-10-26] 오늘의 자연어처리 Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Delta Tuning Delta tuning (DET, also known as parameter-efficient tuning) is deemed as the new paradigm for using pre-trained language models (PLMs). Up to now, various DETs with distinct design elements have been proposed, achieving performance on par with fine-tuning. However, the mechanisms behind the above.. 2022. 10. 26. 이전 1 ··· 113 114 115 116 117 118 119 ··· 143 다음 반응형