Increasing NLP Parsing Efficiency with Chunking†
AbstractWe introduce a “Chunk-and-Pass” parsing technique influenced by a psycholinguistic model, where linguistic information is processed not word-by-word but rather in larger chunks of words. We present preliminary results that show that it is feasible to compress linguistic data into chunks without significantly diminishing parsing performance and potentially increasing the speed.
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Anderson, M.D.; Vilares, D. Increasing NLP Parsing Efficiency with Chunking. Proceedings 2018, 2, 1160.
Anderson MD, Vilares D. Increasing NLP Parsing Efficiency with Chunking. Proceedings. 2018; 2(18):1160.Chicago/Turabian Style
Anderson, Mark Dáibhidh; Vilares, David. 2018. "Increasing NLP Parsing Efficiency with Chunking." Proceedings 2, no. 18: 1160.
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