반응형 오늘의 자연어 처리572 [2023-02-23] 오늘의 자연어처리 Dynamic Named Entity Recognition Named Entity Recognition (NER) is a challenging and widely studied task that involves detecting and typing entities in text. So far,NER still approaches entity typing as a task of classification into universal classes (e.g. date, person, or location). Recent advances innatural language processing focus on architectures of increasing complexity that may lead to ov.. 2023. 2. 23. [2023-02-22] 오늘의 자연어처리 HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers Knowledge distillation has been shown to be a powerful model compression approach to facilitate the deployment of pre-trained language models in practice. This paper focuses on task-agnostic distillation. It produces a compact pre-trained model that can be easily fine-tuned on various tasks with small computational cost.. 2023. 2. 22. [2023-02-21] 오늘의 자연어처리 What A Situated Language-Using Agent Must be Able to Do: A Top-Down Analysis Even in our increasingly text-intensive times, the primary site of language use is situated, co-present interaction. It is primary ontogenetically and phylogenetically, and it is arguably also still primary in negotiating everyday social situations. Situated interaction is also the final frontier of Natural Language Pro.. 2023. 2. 21. [2023-02-20] 오늘의 자연어처리 Auditing large language models: a three-layered approach The emergence of large language models (LLMs) represents a major advance in artificial intelligence (AI) research. However, the widespread use of LLMs is also coupled with significant ethical and social challenges. Previous research has pointed towards auditing as a promising governance mechanism to help ensure that AI systems are designed.. 2023. 2. 20. 이전 1 ··· 82 83 84 85 86 87 88 ··· 143 다음 반응형