Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Low-latency solutions for syntactic parsing are needed if parsing is to become an integral part of user-facing natural language applications. Unfortunately, most state-of-the-art constituency parsers employ large probabilistic context-free grammars for disambiguation, which renders them impractical for real-time use. Meanwhile, Graphics Processor Units (GPUs) have become widely available, offering the opportunity to alleviate this bottleneck by exploiting the fine-grained data parallelism found in the CKY algorithm. ,  explore the design space of parallelizing the dynamic programming computations carried out by the CKY algorithm.  use the Compute Unified Device Architecture (CUDA) programming model to reimplement a state-of-the-art parser, and compare its performance on two recent GPUs with different architectural features. Our best results show a 26-fold speedup compared to a sequential C implementation.
['Youngmin Yi', 'Chao-Yue Lai', 'Slav Petrov', 'Kurt Keutzer']
I am writing a research paper on a idea Efficient Parallel CKY Parsing on GPUs
[{"from": "human", "value": "I am writing a research paper on a idea Efficient Parallel CKY Parsing on GPUs"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Low-latency solutions for syntactic parsing are needed if parsing is to become an integral part of user-facing natural language applications. Unfortunately, most state-of-the-art constituency parsers employ large probabilistic context-free grammars for disambiguation, which renders them impractical for real-time use. Meanwhile, Graphics Processor Units (GPUs) have become widely available, offering the opportunity to alleviate this bottleneck by exploiting the fine-grained data parallelism found in the CKY algorithm. ,  explore the design space of parallelizing the dynamic programming computations carried out by the CKY algorithm.  use the Compute Unified Device Architecture (CUDA) programming model to reimplement a state-of-the-art parser, and compare its performance on two recent GPUs with different architectural features. Our best results show a 26-fold speedup compared to a sequential C implementation."}]