Results 21 to 30 of about 13,934,700 (305)
Gender, Text, Performance and Agency in Asian Cultural Contexts [PDF]
, 2008 Roberts, R., Creese, H.
openaire +3 more sources
Muse: Text-To-Image Generation via Masked Generative Transformers [PDF]
International Conference on Machine Learning, 2023 We present Muse, a text-to-image Transformer model that achieves state-of-the-art image generation performance while being significantly more efficient than diffusion or autoregressive models.
Huiwen Chang +11 more
semanticscholar +1 more source
ModelScope Text-to-Video Technical Report [PDF]
arXiv.org, 2023 This paper introduces ModelScopeT2V, a text-to-video synthesis model that evolves from a text-to-image synthesis model (i.e., Stable Diffusion). ModelScopeT2V incorporates spatio-temporal blocks to ensure consistent frame generation and smooth movement ...
Jiuniu Wang +5 more
semanticscholar +1 more source
Performance Study on Extractive Text Summarization Using BERT Models
Information, 2022 The task of summarization can be categorized into two methods, extractive and abstractive. Extractive summarization selects the salient sentences from the original document to form a summary while abstractive summarization interprets the original ...
Shehab Abdel-Salam, Ahmed Rafea
doaj +1 more source
InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation [PDF]
International Conference on Learning Representations, 2023 This paper introduces InternVid, a large-scale video-centric multimodal dataset that enables learning powerful and transferable video-text representations for multimodal understanding and generation.
Yi Wang +12 more
semanticscholar +1 more source
SciBERT: A Pretrained Language Model for Scientific Text [PDF]
Conference on Empirical Methods in Natural Language Processing, 2019 Obtaining large-scale annotated data for NLP tasks in the scientific domain is challenging and expensive. We release SciBERT, a pretrained language model based on BERT (Devlin et.
Iz Beltagy, Kyle Lo, Arman Cohan
semanticscholar +1 more source
Self-efficacy, Text Difficulty and EFL Learners’ Pedagogic Task Performance [PDF]
Journal of Modern Research in English Language Studies, 2019 Till recently, text difficulty has commonly been determined by employing readability formulas, however, major criticisms have been leveled against readability formulas (Graves & Graves, 2003).This research project aimed at determining text difficulty ...
Reza Bagheri Nevisi +1 more
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Universal Language Model Fine-tuning for Text Classification
Annual Meeting of the Association for Computational Linguistics, 2018 Inductive transfer learning has greatly impacted computer vision, but existing approaches in NLP still require task-specific modifications and training from scratch. We propose Universal Language Model Fine-tuning (ULMFiT), an effective transfer learning
Jeremy Howard, Sebastian Ruder
semanticscholar +1 more source
OBELISC: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents [PDF]
Neural Information Processing Systems, 2023 Large multimodal models trained on natural documents, which interleave images and text, outperform models trained on image-text pairs on various multimodal benchmarks.
Hugo Laurenccon +11 more
semanticscholar +1 more source
Digitalization Improves Enterprise Performance: New Evidence by Text Analysis
SAGE Open, 2023 The reform of digitalization has deeply influenced the development mode and production methods of traditional production in China. However, the impact of digitalization on the management performance of Chinese listed companies are not well investigated ...
Chen Ren, Sang-Joon Lee, Chenxi Hu
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