The DOI matches its Crossref record.
Prospects for practical parsing of unrestricted text: Robust statistical parsing techniques
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The Natural Language Processing community has moved to the use of stochastic grammars to overcome the problems of combinatorial explosion.
“The Natural Language Processing communityhas moved to the use of stochastic grammars to overcome these problems.”
From FREQUENCY EFFECTS IN LANGUAGE PROCESSING: A Review with Implications for Theories of Implicit and Explicit Language Acquisition (2002) · cites this paper as Briscoe, 1994
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Ellis, N. C. (2002) · Studies in Second Language Acquisition · doi:10.1017/s0272263102002024 · Cited by 2,230
Metadata
- Authors
- Briscoe, T.
- Corresponding author
- Briscoe, Ted
- Venue
- Corpus-Based Research into Language
- Publisher
- BRILL
- Published
- 1994-01-01
- Pages
- 97-119
- OpenAlex
- W4389015687
- Cited by
- 4
- References
- 0
- FWCI
- 1.99
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- BRILL eBooks (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Social Sciences › Arts and Humanities › Language and Linguistics › Syntax, Semantics, Linguistic Variation
- Physical Sciences › Computer Science › Artificial Intelligence › Advanced Text Analysis Techniques
- Keywords
- statistical parsing, unrestricted text, robust parsing, natural language parsing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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