scholarly article | Q13442814 |
P820 | arXiv classification | cs.CL |
cs.IR | ||
cs.LG | ||
P818 | arXiv ID | 1909.08402 |
P953 | full work available at URL | https://arxiv.org/pdf/1909.08402.pdf |
P50 | author | Bela Gipp | Q50411920 |
Georg Rehm | Q67175680 | ||
Malte Ostendorff | Q67389868 | ||
P2093 | author name string | Maria Berger | |
Julian Moreno-Schneider | |||
Peter Bourgonje | |||
P2860 | cites work | Wikidata: A Free Collaborative Knowledgebase | Q18507561 |
Scikit-learn: Machine Learning in Python | Q28365500 | ||
Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces | Q50281314 | ||
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding | Q57267388 | ||
PyTorch-BigGraph: A Large-scale Graph Embedding System | Q62657788 | ||
ERNIE: Enhanced Language Representation with Informative Entities | Q64141042 | ||
ERNIE: Enhanced Representation through Knowledge Integration | Q64141094 | ||
Using Wikipedia knowledge to improve text classification | Q66710742 | ||
P4510 | describes a project that uses | Wikidata | Q2013 |
P407 | language of work or name | English | Q1860 |
P921 | main subject | document classification | Q302088 |
knowledge graph | Q33002955 | ||
knowledge graph embedding | Q33003557 | ||
Bidirectional Encoder Representations from Transformer | Q61726893 | ||
P1104 | number of pages | 8 | |
P577 | publication date | 2019-09-18 | |
P1433 | published in | arXiv | Q118398 |
P859 | sponsor | Federal Ministry of Education and Research | Q492234 |
P1476 | title | Enriching BERT with Knowledge Graph Embeddings for Document Classification |
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