31 to 40 of 694 Results
Feb 4, 2019 - AIPHES
Marasovic, Ana, 2019, "Abstract Anaphora Resolution [Source Code]", https://doi.org/10.11588/data/UDMPY5, heiDATA, V1
Abstract Anaphora Resolution (AAR) aims to find the interpretation of nominal expressions (e.g., this result, those two actions) and pronominal expressions (e.g., this, that, it) that refer to abstract-object-antecedents such as facts, events, plans, actions, or situations. The f... |
Jul 15, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
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... |
Nov 24, 2021 - PhD related material - Faculty of Modern Languages
Judea, Alex, 2021, "Accompanying Code and Models for Chapter 5 of the PhD Thesis "Global Inference and Local Syntax Representations for Event Extraction"", https://doi.org/10.11588/data/Z1RKOI, heiDATA, V1
This release contains the source code used for Chapter 5 of the PhD thesis "Global Inference and Local Syntax Representations for Event Extraction". It contains the implementation of the modular, graph-based event extractor described there. Furthermore, the release contains five... |
Nov 24, 2021 - PhD related material - Faculty of Modern Languages
Judea, Alex, 2021, "Accompanying Code for Chapter 4 of the PhD Thesis "Global Inference and Local Syntax Representations for Event Extraction"", https://doi.org/10.11588/data/CZZEKX, heiDATA, V1
This release contains the source code used for Chapter 4 of the PhD thesis "Global Inference and Local Syntax Representations for Event Extraction". The code served as a testbed for the assumption that dependency graphs can be an important information source for event extraction.... |
Feb 25, 2022 - Division of Infectious Disease and Tropical Medicine
Brümmer, Lukas E.; Katzenschlager, Stephan; McGrath, Sean; Schmitz, Stephani; Gaeddert, Mary; Erdmann, Christian; Bota, Marc; Grilli, Maurizio; Larmann, Jan; Weigand, Markus A.; Pollock, Nira R.; Macé, Aurélien; Erkosar, Berra; Carmona, Sergio; Sacks, Jilian A.; Ongarello, Stefano; Denkinger, Claudia M., 2022, "Accuracy of rapid point-of-care antigen-based diagnostics for SARS-CoV-2: an updated systematic review and meta-analysis with meta regression analyzing influencing factors [Research Data]", https://doi.org/10.11588/data/T3MIB0, heiDATA, V1
Background Comprehensive information about the accuracy of antigen rapid diagnostic tests (Ag-RDTs) for SARS-CoV-2 is essential to guide public health decision makers in choosing the best tests and testing policies. In August 2021, we published a systematic review and meta-analys... |
Sep 18, 2023 - Functional Neuroanatomy
Johannes Knabbe, 2023, "Accurate classification of major brain cell types using in vivo imaging and neural network processing", https://doi.org/10.11588/data/L3PITA, heiDATA, V1, UNF:6:j36lvBMAVhENUbq1px2P/Q== [fileUNF]
This dataset accompanies the article of the same title in the journal Plos Biology. It includes a) Ground truth datasets for the training of the StarDist neuronal network for nucleus segmentation (StardistTraining.tar.gz) b) The trained Stardist nucleus segmentation model (Stardi... |
Jul 15, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
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... |
Mar 21, 2024 - AG Weinhardt
Erozan, Ayse; Heuveline, Vincent; Weinhardt, Venera, 2024, "ACSeg: Automated 3D Cytoplasm Segmentation in Soft X-Ray Tomography [Jurkat T cell data]", https://doi.org/10.11588/data/XEBZLL, heiDATA, V1
The structure of cells is a key to understanding cellular function, diagnosing diseases, and developing new treatments. Soft X-ray tomography is uniquely used to access 3D cellular structure of various cells at statistically significant sample sizes. These datasets are reconstruc... |
Sep 22, 2022 - Bothlab
Hodapp, Alexander; Kaiser, Martin E.; Thome, Christian; Ding, Lingjun; Rozov, Andrei; Klumpp, Matthias; Stevens, Nikolas; Stingl, Moritz; Sackmann, Tina; Lehmann, Nadja; Draguhn, Andreas; Burgalossi, Andrea; Engelhardt, Maren; Both, Martin, 2022, "Activity of AcD and nonAcD cells during high-frequency network oscillations [data]", https://doi.org/10.11588/data/JWLFFZ, heiDATA, V1, UNF:6:IbIOEy1OPRgP05Qd2QIN4w== [fileUNF]
Information processing in neuronal networks involves the recruitment of selected neurons into coordinated spatiotemporal activity patterns. This sparse activation results from widespread synaptic inhibition in conjunction with neuron-specific synaptic excitation. We report the se... |
Jan 2, 2024 - SFB 1249: N-Heteropolyzyklen als Funktionsmaterialien - B: Theory & Structure
Wirsing, Sara; Hänsel, Marc; Craciunescu, Luca; Belova, Valentina; Schreiber, Frank; Broch, Katharina; Engels, Bernd; Tegeder, Petra, 2024, "Adsorption Structures Affecting the Electronic Properties and Photoinduced Charge Transfer at Perylene-Based Molecular Interfaces [Data]", https://doi.org/10.11588/data/DYTW8A, heiDATA, V1
Underlying data for figures in the paper "Adsorption Structures Affecting the Electronic Properties and Photoinduced Charge Transfer at Perylene-Based Molecular Interfaces" |
