반응형 오늘의 자연어 처리572 [2023-08-15] 오늘의 자연어처리 Lip2Vec: Efficient and Robust Visual Speech Recognition via Latent-to-Latent Visual to Audio Representation Mapping Visual Speech Recognition (VSR) differs from the common perception tasks as it requires deeper reasoning over the video sequence, even by human experts. Despite the recent advances in VSR, current approaches rely on labeled data to fully train or finetune their models predicting th.. 2023. 8. 15. [2023-08-14] 오늘의 자연어처리 AST-MHSA : Code Summarization using Multi-Head Self-Attention Code summarization aims to generate concise natural language descriptions for source code. The prevailing approaches adopt transformer-based encoder-decoder architectures, where the Abstract Syntax Tree (AST) of the source code is utilized for encoding structural information. However, ASTs are much longer than the corresponding source.. 2023. 8. 14. [2023-08-13] 오늘의 자연어처리 Investigating disaster response through social media data and the Susceptible-Infected-Recovered (SIR) model: A case study of 2020 Western U.S. wildfire season Effective disaster response is critical for affected communities. Responders and decision-makers would benefit from reliable, timely measures of the issues impacting their communities during a disaster, and social media offers a potential.. 2023. 8. 13. [2023-08-12] 오늘의 자연어처리 Finding Already Debunked Narratives via Multistage Retrieval: Enabling Cross-Lingual, Cross-Dataset and Zero-Shot Learning The task of retrieving already debunked narratives aims to detect stories that have already been fact-checked. The successful detection of claims that have already been debunked not only reduces the manual efforts of professional fact-checkers but can also contribute to slow.. 2023. 8. 12. 이전 1 ··· 35 36 37 38 39 40 41 ··· 143 다음 반응형