반응형 분류 전체보기599 [2022-09-18] 오늘의 자연어처리 The Impact of Edge Displacement Vaserstein Distance on UD Parsing Performance We contribute to the discussion on parsing performance in NLP by introducing a measurement that evaluates the differences between the distributions of edge displacement (the directed distance of edges) seen in training and test data. We hypothesize that this measurement will be related to differences observed in parsin.. 2022. 9. 18. [2022-09-17] 오늘의 자연어처리 Hierarchical Attention Network for Explainable Depression Detection on Twitter Aided by Metaphor Concept Mappings Automatic depression detection on Twitter can help individuals privately and conveniently understand their mental health status in the early stages before seeing mental health professionals. Most existing black-box-like deep learning methods for depression detection largely focused o.. 2022. 9. 17. [2022-09-16] 오늘의 자연어처리 CNN-Trans-Enc: A CNN-Enhanced Transformer-Encoder On Top Of Static BERT representations for Document Classification BERT achieves remarkable results in text classification tasks, it is yet not fully exploited, since only the last layer is used as a representation output for downstream classifiers. The most recent studies on the nature of linguistic features learned by BERT, suggest that differen.. 2022. 9. 16. [2022-09-15] 오늘의 자연어처리 Non-Parametric Temporal Adaptation for Social Media Topic Classification User-generated social media data is constantly changing as new trends influence online discussion, causing distribution shift in test data for social media NLP applications. In addition, training data is often subject to change as user data is deleted. Most current NLP systems are static and rely on fixed training data. As .. 2022. 9. 15. 이전 1 ··· 126 127 128 129 130 131 132 ··· 150 다음 반응형