반응형 분류 전체보기599 [2022-09-25] 오늘의 자연어처리 Scope of Pre-trained Language Models for Detecting Conflicting Health Information An increasing number of people now rely on online platforms to meet their health information needs. Thus identifying inconsistent or conflicting textual health information has become a safety-critical task. Health advice data poses a unique challenge where information that is accurate in the context of one diagnosi.. 2022. 9. 25. [2022-09-25] 오늘의 자연어처리 Predicting pairwise preferences between TTS audio stimuli using parallel ratings data and anti-symmetric twin neural networks Automatically predicting the outcome of subjective listening tests is a challenging task. Ratings may vary from person to person even if preferences are consistent across listeners. While previous work has focused on predicting listeners' ratings (mean opinion scores) of .. 2022. 9. 25. [2022-09-24] 오늘의 자연어처리 Approaching English-Polish Machine Translation Quality Assessment with Neural-based Methods This paper presents our contribution to the PolEval 2021 Task 2: Evaluation of translation quality assessment metrics. We describe experiments with pre-trained language models and state-of-the-art frameworks for translation quality assessment in both nonblind and blind versions of the task. Our solutions .. 2022. 9. 24. [2022-09-23] 오늘의 자연어처리 Setting the rhythm scene: deep learning-based drum loop generation from arbitrary language cues Generative artificial intelligence models can be a valuable aid to music composition and live performance, both to aid the professional musician and to help democratize the music creation process for hobbyists. Here we present a novel method that, given an English word or phrase, generates 2 compasses.. 2022. 9. 23. 이전 1 ··· 124 125 126 127 128 129 130 ··· 150 다음 반응형