|
|
--- |
|
|
license: cc |
|
|
language: |
|
|
- en |
|
|
--- |
|
|
|
|
|
# TU Wien Publication Abstracts |
|
|
|
|
|
<!-- Provide a quick summary of the dataset. --> |
|
|
|
|
|
This dataset holds English (and only English) |
|
|
the abstracts of TU Wiens publications from |
|
|
2018 till the beginning of April 2025. This is an intersection |
|
|
of several datasource, some publications might still be missing. |
|
|
|
|
|
The sources for this dataset have been provided by the |
|
|
TU Wien Service Unit for Research Information Systems, which |
|
|
are thankfully acknowledged. |
|
|
|
|
|
The final dataset was assembled in its current form by |
|
|
Thomas Haschka. |
|
|
|
|
|
If you use this dataset please cite: |
|
|
|
|
|
Semantic Tree Inference on Text Corpa using a Nested |
|
|
Density Approach together with Large Language Model Embeddings |
|
|
Thomas Haschka and Joseph Bakarji (2025) |
|
|
https://doi.org/10.48550/arXiv.2512.23471 |
|
|
**BibTeX:** |
|
|
``` |
|
|
@misc{haschka2025semantictreeinferencetext, |
|
|
title={Semantic Tree Inference on Text Corpa using a Nested Density Approach together with Large Language Model Embeddings}, |
|
|
author={Thomas Haschka and Joseph Bakarji}, |
|
|
year={2025}, |
|
|
eprint={2512.23471}, |
|
|
archivePrefix={arXiv}, |
|
|
primaryClass={cs.CL}, |
|
|
url={https://arxiv.org/abs/2512.23471}, |
|
|
} |
|
|
``` |
