반응형 논문572 [2022-08-07] 오늘의 자연어처리 A Representation Modeling Based Language GAN with Completely Random Initialization Text generative models trained via Maximum Likelihood Estimation (MLE) suffer from the notorious exposure bias problem, and Generative Adversarial Networks (GANs) are shown to have potential to tackle it. Existing language GANs adopt estimators like REINFORCE or continuous relaxations to model word distributions. .. 2022. 8. 7. [2022-08-07] 오늘의 자연어처리 Large scale analysis of gender bias and sexism in song lyrics We employ Natural Language Processing techniques to analyse 377808 English song lyrics from the "Two Million Song Database" corpus, focusing on the expression of sexism across five decades (1960-2010) and the measurement of gender biases. Using a sexism classifier, we identify sexist lyrics at a larger scale than previous studies usin.. 2022. 8. 7. [2022-08-07] 오늘의 자연어처리 Vocabulary Transfer for Medical Texts Vocabulary transfer is a transfer learning subtask in which language models fine-tune with the corpus-specific tokenization instead of the default one, which is being used during pretraining. This usually improves the resulting performance of the model, and in the paper, we demonstrate that vocabulary transfer is especially beneficial for medical text proces.. 2022. 8. 7. [2022-08-07] 오늘의 자연어처리 Dynamic Planning in Open-Ended Dialogue using Reinforcement Learning Despite recent advances in natural language understanding and generation, and decades of research on the development of conversational bots, building automated agents that can carry on rich open-ended conversations with humans "in the wild" remains a formidable challenge. In this work we develop a real-time, open-ended dialogue.. 2022. 8. 7. 이전 1 ··· 140 141 142 143 다음 반응형
