Increasing NLP Parsing Efficiency with Chunking
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Increasing NLP Parsing Efficiency with ChunkingDate
2018-09-19Citation
Dáibhidh, Mark and Vilares, David. Increasing NLP Parsing Efficiency with Chunking. En Proceedings 2018, 2, p. 1160
Abstract
[Abstract] We 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.
Keywords
Parsing
Syntax
Natural language processing
Dependency parsing
Chunking
Syntax
Natural language processing
Dependency parsing
Chunking
Description
Trátase dun resumo extendido da ponencia
Editor version
Rights
Atribución
ISSN
2504-3900