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Increasing NLP Parsing Efficiency with Chunking

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URI: http://hdl.handle.net/2183/21161
DOI: 10.3390/proceedings2181160

Publication date

2018-09-19

Authors

Anderson, Mark

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Journal Title

Bibliographic citation

Dáibhidh, Mark and Vilares, David. Increasing NLP Parsing Efficiency with Chunking. En Proceedings 2018, 2, p. 1160

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Academic degree

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.

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Trátase dun resumo extendido da ponencia

Keywords

Parsing Syntax Natural language processing Dependency parsing Chunking

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https://doi.org/10.3390/proceedings2181160

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