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논문572

[2023-01-10] 오늘의 자연어처리 Causal Categorization of Mental Health Posts using Transformers With recent developments in digitization of clinical psychology, NLP research community has revolutionized the field of mental health detection on social media. Existing research in mental health analysis revolves around the cross-sectional studies to classify users' intent on social media. For in-depth analysis, we investigate exis.. 2023. 1. 10.
[2023-01-09] 오늘의 자연어처리 HIT-SCIR at MMNLU-22: Consistency Regularization for Multilingual Spoken Language Understanding Multilingual spoken language understanding (SLU) consists of two sub-tasks, namely intent detection and slot filling. To improve the performance of these two sub-tasks, we propose to use consistency regularization based on a hybrid data augmentation strategy. The consistency regularization enforces th.. 2023. 1. 9.
[2023-01-08] 오늘의 자연어처리 Reprogramming Pretrained Language Models for Protein Sequence Representation Learning Machine Learning-guided solutions for protein learning tasks have made significant headway in recent years. However, success in scientific discovery tasks is limited by the accessibility of well-defined and labeled in-domain data. To tackle the low-data constraint, recent adaptions of deep learning models pretr.. 2023. 1. 8.
[2023-01-07] 오늘의 자연어처리 Audio-Visual Efficient Conformer for Robust Speech Recognition End-to-end Automatic Speech Recognition (ASR) systems based on neural networks have seen large improvements in recent years. The availability of large scale hand-labeled datasets and sufficient computing resources made it possible to train powerful deep neural networks, reaching very low Word Error Rate (WER) on academic benchmarks. .. 2023. 1. 7.
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