cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14473/csda/r87qkd
title: Naše společnost 2017 - prosinec

description: Výzkum provedl výzkumný tým CVVM Sociologického ústavu AV ČR, v.v.i., v rámci výzkumu „Naše společnost 2017". Sběr dat provedla tazatelská síť CVVM.
DOI: 10.5281/zenodo.7701111
title: Remote Sensing based Sea Surface partial pressure of CO2 (pCO2) and air-sea CO2 flux (FCO2) in the East China Sea (2003-2019)

description: Based on in situ seawater pCO2 data collected on 51 cruises/legs over the past two decades, a satellite retrieval algorithm for seawater pCO2 was developed by combining the semi-mechanistic algorithm and machine learning method (MeSAA-ML). MeSAA-ML introduces semi-analytical parameters, including the temperature-dependent seawater pCO2 (pCO2,therm ) and upwelling index (UISST), to characterise the combined effect of atmospheric CO2 forcing, thermodynamic effects, and multiple mixing processes on seawater pCO2. Additionally, considering the biological effects and various sub-regional features, multiple ocean colour parameters were also used as inputs in XGBoost, the best-selected machine learning algorithm. Independent cruise-based data were used to validate the satellite-derived pCO2, which achieved excellent performance in this complicated marginal sea, with low root mean square error (RMSE=19.6 μatm) and mean absolute percentage deviation (APD=4.12%). Air-sea CO2 fluxes are calculated based on retrieved seawater pCO2. 
description: For file corruption/missing, please kindly refer to https://doi.org/10.5281/zenodo.8042265. For any questions, feel free to contact the data producer at yushujie@sio.org.cn.
DOI: 10.5281/zenodo.7701112
title: Remote Sensing based Sea Surface partial pressure of CO2 (pCO2) and air-sea CO2 flux (FCO2) in the East China Sea (2003-2019)

description: Based on in situ seawater pCO2 data collected on 51 cruises/legs over the past two decades, a satellite retrieval algorithm for seawater pCO2 was developed by combining the semi-mechanistic algorithm and machine learning method (MeSAA-ML). MeSAA-ML introduces semi-analytical parameters, including the temperature-dependent seawater pCO2 (pCO2,therm ) and upwelling index (UISST), to characterise the combined effect of atmospheric CO2 forcing, thermodynamic effects, and multiple mixing processes on seawater pCO2. Additionally, considering the biological effects and various sub-regional features, multiple ocean colour parameters were also used as inputs in XGBoost, the best-selected machine learning algorithm. Independent cruise-based data were used to validate the satellite-derived pCO2, which achieved excellent performance in this complicated marginal sea, with low root mean square error (RMSE=19.6 μatm) and mean absolute percentage deviation (APD=4.12%). Air-sea CO2 fluxes are calculated based on retrieved seawater pCO2. 
description: For file corruption/missing, please kindly refer to https://doi.org/10.5281/zenodo.8042265. For any questions, feel free to contact the data producer at yushujie@sio.org.cn.
DOI: 10.34740/kaggle/ds/3997097
title:  Twitter / X Posts of Khaadi Brand
DOI: 10.6084/m9.figshare.21780128.v1
title: Original data

description: Original data
DOI: 10.5066/p9ivywpg
title: Environmental DNA shedding rates in laboratory conditions for Cumberlandia monodonta, Actinonaias ligamentina, and Lampsilis siliquoidea.

description: Data describe designed environmental DNA (eDNA) experiments for the estimation of eDNA shedding rates for the spectaclecase (Cumberlandia monodonta), mucket (Actinonaias ligamentina), and fatmucket (Lampsilis siliquoidea) from water samples collected in the laboratory under differing laboratory conditions. Shedding rates were tested under variable mussel biomass, diet, and temperature. Parameters described include descriptions of laboratory collected water samples that were tested to estimate concentration of spectaclecase, mucket or fatmucket DNA qPCR results, and associated quality assurance measurements.
DOI: 10.14473/csda/jq7bsr
title: Naše společnost 2017 - říjen

description: Výzkum provedl výzkumný tým CVVM Sociologického ústavu AV ČR, v.v.i., v rámci výzkumu „Naše společnost 2017". Sběr dat provedla tazatelská síť CVVM.
DOI: 10.34740/kaggle/ds/3997224
title: Facebook Posts of Khaadi Brand
DOI: 10.14473/csda/a5w05p/rw2xje
title: PR04_V1709.pdf

description: Romové a soužití s nimi očima české veřejnosti - září 2017. Tisková zpráva CVVM.
DOI: 10.14473/csda/a5w05p/q3vbql
title: K10_V1709.pdf

description: Karty 10_ Praha
DOI: 10.14473/csda/a5w05p/lbckrn
title: K09_V1709.pdf

description: Karty 09 _ Plzeňský kraj
DOI: 10.14473/csda/a5w05p/ncis1l
title: K14_V1709.pdf

description: Karty 14 _ Zlínský kraj
DOI: 10.14473/csda/a5w05p/fqrr6r
title: K02_V1709.pdf

description: Karty 02_Jihomoravský kraj
DOI: 10.14473/csda/a5w05p/z3hh4i
title: PR06_V1709.pdf

description: Důvěra stranickým představitelům – září 2017. Tisková zpráva CVVM
DOI: 10.14473/csda/a5w05p/dgfncg
title: K11_V1709.pdf

description: Karty 11_ Středočeský kraj
DOI: 10.14473/csda/a5w05p/yqt12w
title: OM_V1709.pdf

description: Ostatní materiály
DOI: 10.14473/csda/a5w05p/m0jw8s
title: K13_V1709.pdf

description: Karty 13_ Vysočina
DOI: 10.14473/csda/a5w05p/piwwdg
title: PR07_V1709.pdf

description: Občané o konfliktu v Sýrii – září 2017. Tisková zpráva CVVM.
DOI: 10.14473/csda/a5w05p/3p88m8
title: PR03_V1709.pdf

description: Postoje obyvatel České republiky k novele zákona o českém školství, platbám za vysoké školy a státním maturitám – září 2017. Tisková zpráva CVVM.
DOI: 10.14473/csda/a5w05p/xsvtnv
title: PR010_V1709.pdf

description: Postoje obyvatel České republiky k politickým stranám - září 2017. Tisková zpráva CVVM.
DOI: 10.14473/csda/a5w05p/rfxn4s
title: TI_V1709.pdf

description: Technická informace
DOI: 10.14473/csda/a5w05p/sfzxxu
title: PR08_V1709.pdf

description: Stranické preference a volební model v září 2017. Tisková zpráva CVVM.
DOI: 10.14473/csda/a5w05p/x2l8sd
title: PR02_V1709.pdf

description: Hodnocení kvality různých typů škol - září 2017.Tisková zpráva CVVM
DOI: 10.14473/csda/a5w05p/erex3w
title: PR05_V1709.pdf

description: Důvěra ústavním institucím v září 2017. Tisková zpráva CVVM.
DOI: 10.14473/csda/a5w05p/kpwkl3
title: K07_V1709.pdf

description: Karty 07_ Olomoucký kraj
DOI: 10.14473/csda/a5w05p/4d0lee
title: K04_V1709.pdf

description: Karty 04 _ Královéhradecký kraj
DOI: 10.14473/csda/a5w05p/9f3t1f
title: K01_V1709.pdf

description: Karty 01_Jihočeský kraj
DOI: 10.14473/csda/a5w05p/fv4uyd
title: K12_V1709.pdf

description: Karty 12 _ Ústecký kraj
DOI: 10.14473/csda/a5w05p/znlzko
title: NS_1709_DataFile-FINAL_bezjmen.tab

description: Data
DOI: 10.14473/csda/a5w05p/g7xnnc
title: K03_V1709.pdf

description: Karty 03 _ Karlovarský kraj
DOI: 10.14473/csda/a5w05p/2uakb2
title: D_V1709.pdf

description: Dotazník
DOI: 10.14473/csda/a5w05p/17c7pz
title: K05_V1709.pdf

description: Karty 05 _ Liberecký kraj
DOI: 10.14473/csda/a5w05p/0gifex
title: PR01_V1709.pdf

description: Občané o hospodářské situaci ČR a o životní úrovni svých domácností – září 2017. Tisková zpráva CVVM
DOI: 10.14473/csda/a5w05p/z86zs5
title: PR09_V1709.pdf

description: Preference prezidentských kandidátů v září 2017. tisková zpráva CVVM.
DOI: 10.14473/csda/a5w05p/rjrg4j
title: K06_V1709.pdf

description: Karty 06 _ Moravskoslezský kraj
DOI: 10.14473/csda/a5w05p/sfdv8z
title: K08_V1709.pdf

description: Karty 08 _ Pardubický kraj
DOI: 10.14473/csda/a5w05p
title: Naše společnost 2017 - září

description: Výzkum provedl výzkumný tým CVVM Sociologického ústavu AV ČR, v.v.i., v rámci výzkumu „Naše společnost 2017". Sběr dat provedla tazatelská síť CVVM.
DOI: 10.5281/zenodo.10118594
title: Enhanced Biosafety of the Sleeping Beauty Transposon System by Using mRNA as Source of Transposase to Efficiently and Stably Transfect Retinal Pigment Epithelial Cells

description: Raw data of the publication "Enhanced Biosafety of the Sleeping Beauty Transposon System by Using mRNA as Source of Transposase to Efficiently and Stably Transfect Retinal Pigment Epithelial Cells".


Abstract:  Neovascular age-related macular degeneration (nvAMD) is characterized by choroidal
neovascularization (CNV), which leads to retinal pigment epithelial (RPE) cell and photoreceptor
degeneration and blindness if untreated. Since blood vessel growth is mediated by endothelial cell
growth factors, including vascular endothelial growth factor (VEGF), treatment consists of repeated,
often monthly, intravitreal injections of anti-angiogenic biopharmaceuticals. Frequent injections are
costly and present logistic difficulties; therefore, our laboratories are developing a cell-based gene
therapy based on autologous RPE cells transfected ex vivo with the pigment epithelium derived factor
(PEDF), which is the most potent natural antagonist of VEGF. Gene delivery and long-term expression
of the transgene are enabled by the use of the non-viral Sleeping Beauty (SB100X) transposon system
that is introduced into the cells by electroporation. The transposase may have a cytotoxic effect and a
low risk of remobilization of the transposon if supplied in the form of DNA. Here, we investigated
the use of the SB100X transposase delivered as mRNA and showed that ARPE-19 cells as well as
primary human RPE cells were successfully transfected with the Venus or the PEDF gene, followed
by stable transgene expression. In human RPE cells, secretion of recombinant PEDF could be detected
in cell culture up to one year. Non-viral ex vivo transfection using SB100X-mRNA in combination
with electroporation increases the biosafety of our gene therapeutic approach to treat nvAMD while
ensuring high transfection efficiency and long-term transgene expression in RPE cells.
DOI: 10.5281/zenodo.10118754
title: Enhanced Biosafety of the Sleeping Beauty Transposon System by Using mRNA as Source of Transposase to Efficiently and Stably Transfect Retinal Pigment Epithelial Cells

description: Raw data of the publication "Enhanced Biosafety of the Sleeping Beauty Transposon System by Using mRNA as Source of Transposase to Efficiently and Stably Transfect Retinal Pigment Epithelial Cells".


Abstract:  Neovascular age-related macular degeneration (nvAMD) is characterized by choroidal
neovascularization (CNV), which leads to retinal pigment epithelial (RPE) cell and photoreceptor
degeneration and blindness if untreated. Since blood vessel growth is mediated by endothelial cell
growth factors, including vascular endothelial growth factor (VEGF), treatment consists of repeated,
often monthly, intravitreal injections of anti-angiogenic biopharmaceuticals. Frequent injections are
costly and present logistic difficulties; therefore, our laboratories are developing a cell-based gene
therapy based on autologous RPE cells transfected ex vivo with the pigment epithelium derived factor
(PEDF), which is the most potent natural antagonist of VEGF. Gene delivery and long-term expression
of the transgene are enabled by the use of the non-viral Sleeping Beauty (SB100X) transposon system
that is introduced into the cells by electroporation. The transposase may have a cytotoxic effect and a
low risk of remobilization of the transposon if supplied in the form of DNA. Here, we investigated
the use of the SB100X transposase delivered as mRNA and showed that ARPE-19 cells as well as
primary human RPE cells were successfully transfected with the Venus or the PEDF gene, followed
by stable transgene expression. In human RPE cells, secretion of recombinant PEDF could be detected
in cell culture up to one year. Non-viral ex vivo transfection using SB100X-mRNA in combination
with electroporation increases the biosafety of our gene therapeutic approach to treat nvAMD while
ensuring high transfection efficiency and long-term transgene expression in RPE cells.
DOI: 10.5281/zenodo.7816966
title: Enhanced Biosafety of the Sleeping Beauty Transposon System by Using mRNA as Source of Transposase to Efficiently and Stably Transfect Retinal Pigment Epithelial Cells

description: Raw data of the publication "Enhanced Biosafety of the Sleeping Beauty Transposon System by Using mRNA as Source of Transposase to Efficiently and Stably Transfect Retinal Pigment Epithelial Cells".


Abstract:  Neovascular age-related macular degeneration (nvAMD) is characterized by choroidal
neovascularization (CNV), which leads to retinal pigment epithelial (RPE) cell and photoreceptor
degeneration and blindness if untreated. Since blood vessel growth is mediated by endothelial cell
growth factors, including vascular endothelial growth factor (VEGF), treatment consists of repeated,
often monthly, intravitreal injections of anti-angiogenic biopharmaceuticals. Frequent injections are
costly and present logistic difficulties; therefore, our laboratories are developing a cell-based gene
therapy based on autologous RPE cells transfected ex vivo with the pigment epithelium derived factor
(PEDF), which is the most potent natural antagonist of VEGF. Gene delivery and long-term expression
of the transgene are enabled by the use of the non-viral Sleeping Beauty (SB100X) transposon system
that is introduced into the cells by electroporation. The transposase may have a cytotoxic effect and a
low risk of remobilization of the transposon if supplied in the form of DNA. Here, we investigated
the use of the SB100X transposase delivered as mRNA and showed that ARPE-19 cells as well as
primary human RPE cells were successfully transfected with the Venus or the PEDF gene, followed
by stable transgene expression. In human RPE cells, secretion of recombinant PEDF could be detected
in cell culture up to one year. Non-viral ex vivo transfection using SB100X-mRNA in combination
with electroporation increases the biosafety of our gene therapeutic approach to treat nvAMD while
ensuring high transfection efficiency and long-term transgene expression in RPE cells.
DOI: 10.5281/zenodo.7816967
title: Enhanced Biosafety of the Sleeping Beauty Transposon System by Using mRNA as Source of Transposase to Efficiently and Stably Transfect Retinal Pigment Epithelial Cells

description: Raw data of the publication "Enhanced Biosafety of the Sleeping Beauty Transposon System by Using mRNA as Source of Transposase to Efficiently and Stably Transfect Retinal Pigment Epithelial Cells". Abstract: Neovascular age-related macular degeneration (nvAMD) is characterized by choroidal<br> neovascularization (CNV), which leads to retinal pigment epithelial (RPE) cell and photoreceptor<br> degeneration and blindness if untreated. Since blood vessel growth is mediated by endothelial cell<br> growth factors, including vascular endothelial growth factor (VEGF), treatment consists of repeated,<br> often monthly, intravitreal injections of anti-angiogenic biopharmaceuticals. Frequent injections are<br> costly and present logistic difficulties; therefore, our laboratories are developing a cell-based gene<br> therapy based on autologous RPE cells transfected ex vivo with the pigment epithelium derived factor<br> (PEDF), which is the most potent natural antagonist of VEGF. Gene delivery and long-term expression<br> of the transgene are enabled by the use of the non-viral Sleeping Beauty (SB100X) transposon system<br> that is introduced into the cells by electroporation. The transposase may have a cytotoxic effect and a<br> low risk of remobilization of the transposon if supplied in the form of DNA. Here, we investigated<br> the use of the SB100X transposase delivered as mRNA and showed that ARPE-19 cells as well as<br> primary human RPE cells were successfully transfected with the Venus or the PEDF gene, followed<br> by stable transgene expression. In human RPE cells, secretion of recombinant PEDF could be detected<br> in cell culture up to one year. Non-viral ex vivo transfection using SB100X-mRNA in combination<br> with electroporation increases the biosafety of our gene therapeutic approach to treat nvAMD while<br> ensuring high transfection efficiency and long-term transgene expression in RPE cells.
DOI: 10.5281/zenodo.10118831
title: Moat Areas Tend to Form in Tropical Cyclones with Broader Wind Fields

description: azimuthal-mean data for CNTL and SMALL
DOI: 10.5281/zenodo.10118832
title: Moat Areas Tend to Form in Tropical Cyclones with Broader Wind Fields

description: azimuthal-mean data for CNTL and SMALL
DOI: 10.11588/data/yynqff
title: Topological Field Labeler for German

description: This resource contains the code of the topological labeler used in the paper: Do and Rehbein (2020). Parsers Know Best: German PP Attachment Revisited. For this tool, labeling topological field is formulated as a sequence labeling task. We also include in this resource two pre-trained models on the TüBa-D/Z dataset with German SPMRL styled POS tags that are used in the paper.
DOI: 10.11588/data/0u6iwl
title: Neural Dependency Parser with Biaffine Attention and BERT Embeddings

description: This resource contains the code of the dependency parser used in the paper: Do and Rehbein (2020). Parsers Know Best: German PP Attachment Revisited. The parser is a re-implementation of the neural dependency parser from Dozat and Manning (2017) and is extended to use the BERT language model as input features. The pre-trained models on the German dataset of the SPMRL 2014 Shared Task used to report results in the paper are also included.
DOI: 10.11588/data/nb46xr
title: Real-World PP Attachment Disambiguation Dataset

description: This resource contains a German dataset for real-world PP attachment disambiguation. The creation, analysis and experiment results of the dataset are described in the paper: Do and Rehbein (2020). Parsers Know Best: German PP Attachment Revisited
DOI: 10.11588/data/dkwkgj
title: Neural PP Attachment Disambiguation Systems

description: This resource contains code for different types of neural PP attachment disambiguation systems: A disambiguation system inspired by de Kok et al. (2017) but with the ranking loss function. A disambiguation system with biaffine attention similar to the neural dependency parser in Dozat and Manning (2017). The systems are described in details in the paper: Do and Rehbein (2020). Parsers Know Best: German PP Attachment Revisited. We also include all pre-trained models reported in the paper.
DOI: 10.11588/data/rhd3ks
title: Tool for Extracting PP Attachment Disambiguation Dataset

description: This resource contains code to extract a PP attachment disambiguation dataset as described in the paper: Do and Rehbein (2020). Parsers Know Best: German PP Attachment Revisited. The input is in CoNLL format, and the output format is similar to the one described in de Kok et al. (2017).
DOI: 10.6084/m9.figshare.23551473
title: Supplementary Table 2. Details of IO-score in each factor (7289) and fish.

description: Score based on the ratio of gene expression between intersexual gonad and ovary（IO-score）
DOI: 10.6084/m9.figshare.23551473.v1
title: Supplementary Table 2. Details of IO-score in each factor (7289) and fish.

description: Score based on the ratio of gene expression between intersexual gonad and ovary（IO-score）
DOI: 10.6084/m9.figshare.23551473.v2
title: Supplementary Table 2. Details of IO-score in each factor (7289) and fish.

description: Score based on the ratio of gene expression between intersexual gonad and ovary（IO-score）
DOI: 10.11588/data/nngpqz
title: Neural Rerankers for Dependency Parsing

description: This resource contains code for different types of neural rerankers (RCNN, RCNN-shared and GCN) from the paper: Do and Rehbein (2020). Neural Reranking for Dependency Parsing: An Evaluation. We also include in this resource the pre-trained models of different rerankers on 3 languages: English, German and Czech that are used to report results in the paper.
DOI: 10.14473/csda/mpaxey/bwapqw
title: TI_V1706.pdf

description: Technická informace
DOI: 10.14473/csda/mpaxey/euxz9h
title: K_V1706a.pdf

description: Karty
DOI: 10.14473/csda/mpaxey/soudz4
title: OM_V1706a.pdf

description: Ostatní materiály
DOI: 10.14473/csda/mpaxey/kpuxjm
title: NS_1706_DataFile-FINAL_bezjmen-1.tab

description: Data
DOI: 10.14473/csda/mpaxey/8z8vje
title: D_V1706a.pdf

description: Dotazník
DOI: 10.14473/csda/mpaxey/ukc3g1
title: PR12_V1706a.pdf

description: Hodnocení činnosti politických stran a vybraných institucí – červen 2017. Tisková zpráva CVVM.
DOI: 10.14473/csda/mpaxey/qdf8aa
title: PR11_V1706a.pdf

description: Názory na EU v středoevropském srovnání – léto 2017. Tisková zpráva CVVM.
DOI: 10.14473/csda/mpaxey/rxbqbn
title: PR08_V1706a.pdf

description: Česká veřejnost k problematice geneticky upravených potravin – červen 2017. Tisková zpráva CVVM
DOI: 10.11588/data/bpwwjl
title: Head Selection Parsers and LSTM Labelers

description: This resource contains code, data and pre-trained models for various types of neural dependency parsers and LSTM labelers used in the papers: Do et al. (2017). What Do We Need to Know About an Unknown Word When Parsing German Do and Rehbein (2017). Evaluating LSTM Models for Grammatical Function Labelling The parsers and labelers are inspired by the head-selection parser of Zhang et al., (2017). We extend the parser to use different input features, namely: Word embeddings POS tag embeddings Constituent embeddings (e.g., characters or compound) and their combinations. Grammatical function labeling is formulated as a sequence labeling task. We introduce two new bidirectional LSTMs labelers with different orders of tree nodes (linear and BFS order) and another labeler based on top-down tree LSTMs.
DOI: 10.14473/csda/mpaxey/nd6ra1
title: PR01_V1706a.pdf

description: Česká veřejnost o nezaměstnanosti – červen 2017. Tisková zpráva CVVM.
DOI: 10.14473/csda/mpaxey/qii13i
title: PR07_V1706a.pdf

description: Zájem o bio potraviny v České republice a jejich spotřeba – červen 2017.Tisková zpráva CVVM.
DOI: 10.14473/csda/mpaxey/k6gqgs
title: PR14_V1706a.pdf

description: Stranické preference a volební model v červnu 2017. Tisková zpráva CVVM
DOI: 10.14473/csda/mpaxey/6w5brx
title: PR13_V1706a.pdf

description: Sebezarazení na levopravé škále politické orientace - červen 2017. Tisková zpráva CVVM
DOI: 10.14473/csda/mpaxey/cnhaoi
title: PR03_V1706a.pdf

description: Postoje české veřejnosti ke svému zaměstnání – červen 2017. Tisková zpráva CVVM.
DOI: 10.14473/csda/mpaxey/rlk3dl
title: PR06_V1706a.pdf

description: Vyhazování vzhledově nedokonalé zeleniny jako jedna z forem plýtvání potravinami – červen 2017. Tisková zpráva CVVM
DOI: 10.14473/csda/mpaxey/2pl3re
title: PR09_V1706a.pdf

description: Spokojenost se životem – cerven 2017. Tisková zpráva CVVM.
DOI: 10.14473/csda/mpaxey/19uhup
title: PR05_V1706a.pdf

description: Spotřeba a plýtvání potravinami jako sociální problém – červen 2017. Tisková zpráva CVVM.
DOI: 10.14473/csda/mpaxey/f3hzdb
title: PR04_V1706a.pdf

description: Občané o hospodářské situaci ČR a o živitnách podmínkách svých domácností - červen 2017. Tisková zpráva CVVM.
DOI: 10.14473/csda/mpaxey/cvjthe
title: PR10_V1706a.pdf

description: Důvěra ústavním institucím v červnu 2017. Tisková zpráva CVVM.
DOI: 10.14473/csda/mpaxey
title: Naše společnost 2017 - červen

description: Výzkum provedl výzkumný tým CVVM Sociologického ústavu AV ČR, v.v.i., v rámci výzkumu „Naše společnost 2017". Sběr dat provedla tazatelská síť CVVM.
DOI: 10.14473/csda/mpaxey/m5n1df
title: PR02_V1706a.pdf

description: Občané o materiálních životních podmínkách svých domácností - červen 2017. Tisková zpráva CVVM.
DOI: 10.11588/data/e5noyh
title: Datasets for Dependency Tree Reranking

description: 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.
DOI: 10.11588/data/dz9mus
title: Neural Dependency Parser with Biaffine Attention

description: This resource contains the code of the dependency parser used in the paper: Fankhauser, et al. (2020). Evaluating a Dependency Parser on DeReKo. The parser is a re-implementation of the neural dependency parser from Dozat and Manning (2017). In addition, we include two pre-trained models on the German dataset of the SPMRL 2014 Shared Task with slightly different POS tags.