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1 to 10 of 55 Results
Abstract graphs, abstract paths, grounded paths for Freebase and NELL
Jul 15, 2019
Nastase, Vivi; Kotnis, Bhushan, 2019, "Abstract graphs, abstract paths, grounded paths for Freebase and NELL", https://doi.org/10.11588/data/AVLFPZ, heiDATA, V1
We describe a method for representing knowledge graphs that capture an intensional representation of the original extensional information. This representation is very compact, and it abstracts away from individual links, allowing us to find better path candidates, as shown by the...
AbstractGraphs_Garder2014data.tar.gz
Jul 15, 2019 - Abstract graphs, abstract paths, grounded paths for Freebase and NELL
Gzip Archive - 2.5 GB - MD5: dc2a64fb2d88cccf5e62d9400cbca1af
Data
AbstractPathsGroundedPaths.tar.gz
Jul 15, 2019 - Abstract graphs, abstract paths, grounded paths for Freebase and NELL
Gzip Archive - 204.7 MB - MD5: 6dfafe4e7d5b29a882b59f43ec9eb4ae
Data
ACL word segmentation correction
Jul 15, 2019
Nastase, Vivi; Hitschler, Julian, 2019, "ACL word segmentation correction", https://doi.org/10.11588/data/VK99LU, heiDATA, V1
The data in this collection consists of two parallel directories, one ("raw") containing the raw text of 18850 articles from the ACL 2013/02 collection, the other ("re-segmented") the word-resegmented version of these articles, obtained using nematus, a seq2seq neural model used...
acl-201302_word-resegmented.tar.gz
Jul 15, 2019 - ACL word segmentation correction
Gzip Archive - 371.1 MB - MD5: 96d089771cde56bb9ac5296189fb403b
Data
text files
Affixoid Dataset (DE)
Oct 8, 2019
Ruppenhofer, Josef, 2019, "Affixoid Dataset (DE)", https://doi.org/10.11588/data/QKF4LT, heiDATA, V1, UNF:6:+MGK9lTPTXx7Rclu1BpPnw== [fileUNF]
The dataset contains the manual annotations for the COLING 2018 submission "Distinguishing affixoid formations from compounds" by Josef Ruppenhofer, Michael Wiegand, Rebecca Wilm and Katja Markert. 1788 complex words containing one of 7 German suffixoid candidates (e.g. -hai, -go...
AMR parse quality prediction [Source Code]
Jul 12, 2019
Opitz, Juri, 2019, "AMR parse quality prediction [Source Code]", https://doi.org/10.11588/data/STHBGW, heiDATA, V1
Accuracy prediction for AMR parsing predicts 33 accuracy metrics for a given sentence and its (automatic) AMR parse Abstract (Opitz and Frank, 2019): Semantic proto-role labeling (SPRL) is an alternative to semantic role labeling (SRL) that moves beyond a categorical definition o...
COREC – A neural multi-label COmmonsense RElation Classification system
Oct 22, 2019
Becker, Maria, 2019, "COREC – A neural multi-label COmmonsense RElation Classification system", https://doi.org/10.11588/data/E5EHBV, heiDATA, V1
We examine the learnability of Commonsense knowledge relations as represented in CONCEPTNET. We develop a neural open world multi-label classification system that focuses on the evaluation of classification accuracy for individual relations. Based on an in-depth study of the spec...
corec-master.zip
Oct 22, 2019 - COREC – A neural multi-label COmmonsense RElation Classification system
ZIP Archive - 6.2 KB - MD5: 04927f554601f39dd7e2d86a5e62d681
Code
dataset_annotations.tab
Oct 8, 2019 - Affixoid Dataset (DE)
Tabular Data - 61.6 KB - 1 Variables, 1787 Observations - UNF:6:+MGK9lTPTXx7Rclu1BpPnw==
Data
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