21 to 30 of 185 Results
Nov 13, 2023 -
Datasets for Dependency Tree Reranking
Gzip Archive - 21.1 MB -
MD5: ceed7b0509f5d95f9d6a5003229cf770
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Nov 13, 2023 -
Datasets for Dependency Tree Reranking
Gzip Archive - 54.3 MB -
MD5: e1df54b815eec985f102d48a31426107
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Oct 8, 2019 -
Affixoid Dataset (DE)
Tabular Data - 61.6 KB - 1 Variables, 1787 Observations - UNF:6:+MGK9lTPTXx7Rclu1BpPnw==
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Nov 13, 2023 - Neural Techniques for German Dependency Parsing
Do, Bich-Ngoc; Rehbein, Ines, 2023, "Datasets for Dependency Tree Reranking", https://doi.org/10.11588/data/E5NOYH, heiDATA, V1
This resource contains the datasets for dependency tree reranking in 3 languages: English, German and Czech. The creation, analysis and experiment results of the datasets are described in the paper: Do and Rehbein (2020). "Neural Reranking for Dependency Parsing: An Evaluation". |
Nov 13, 2023 -
Neural Rerankers for Dependency Parsing
Gzip Archive - 72.6 MB -
MD5: 932ba4a18453cb66131e05b0a5296b59
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Nov 13, 2023 -
Neural Rerankers for Dependency Parsing
Gzip Archive - 36.5 MB -
MD5: fe026cd97d3f3853cf31bae9251fcbf5
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Nov 13, 2023 -
Datasets for Dependency Tree Reranking
Gzip Archive - 12.3 MB -
MD5: e2a3ced99373c5e471d1cfc840b37c41
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Nov 13, 2023 -
Datasets for Dependency Tree Reranking
Gzip Archive - 32.4 MB -
MD5: bcaf176e4f2a5b396441afb78ae698d7
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Jul 15, 2019
Nastase, Vivi; Fritz, Devon; Frank, Anette, 2019, "DeModify", https://doi.org/10.11588/data/KIWEMF, heiDATA, V1
deModify consists of 3631 instances, each with three annotations obtained through CrowdFlower. An instance is a short story in which a modifier is annotated with respect to its impact on the information in the story, assessed through its deletion from the context: crucial, not-cr... |
Jul 15, 2019 -
DeModify
Tab-Separated Values - 112.2 KB -
MD5: 9859efc83ee0b6a30af19448be4d6f0b
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