반응형 자연어처리572 [2022-10-13] 오늘의 자연어처리 On Text Style Transfer via Style Masked Language Models Text Style Transfer (TST) is performable through approaches such as latent space disentanglement, cycle-consistency losses, prototype editing etc. The prototype editing approach, which is known to be quite successful in TST, involves two key phases a) Masking of source style-associated tokens and b) Reconstruction of this source-style maske.. 2022. 10. 13. [2022-10-13] 오늘의 자연어처리 Machine Translation between Spoken Languages and Signed Languages Represented in SignWriting This paper presents work on novel machine translation (MT) systems between spoken and signed languages, where signed languages are represented in SignWriting, a sign language writing system. Our work seeks to address the lack of out-of-the-box support for signed languages in current MT systems and is bas.. 2022. 10. 13. [2022-10-12] 오늘의 자연어처리 Robustification of Multilingual Language Models to Real-world Noise with Robust Contrastive Pretraining Advances in neural modeling have achieved state-of-the-art (SOTA) results on public natural language processing (NLP) benchmarks, at times surpassing human performance. However, there is a gap between public benchmarks and real-world applications where noise such as typos or grammatical mistak.. 2022. 10. 12. [2022-10-11] 오늘의 자연어처리 PARAGEN : A Parallel Generation Toolkit PARAGEN is a PyTorch-based NLP toolkit for further development on parallel generation. PARAGEN provides thirteen types of customizable plugins, helping users to experiment quickly with novel ideas across model architectures, optimization, and learning strategies. We implement various features, such as unlimited data loading and automatic model selection, t.. 2022. 10. 11. 이전 1 ··· 117 118 119 120 121 122 123 ··· 143 다음 반응형