| openai/deeptype |
516 |
|
0 |
0 |
about 7 years ago |
0 |
|
22 |
other |
Python |
| Code for the paper "DeepType: Multilingual Entity Linking by Neural Type System Evolution" |
| UKPLab/emnlp2017-relation-extraction |
244 |
|
0 |
0 |
about 6 years ago |
0 |
|
5 |
apache-2.0 |
Python |
| Context-Aware Representations for Knowledge Base Relation Extraction |
| UKPLab/coling2018-graph-neural-networks-question-answering |
116 |
|
0 |
0 |
about 6 years ago |
0 |
|
7 |
apache-2.0 |
Python |
| Accompanying code for our COLING 2018 paper "Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering" |
| UKPLab/starsem2018-entity-linking |
45 |
|
0 |
0 |
about 6 years ago |
0 |
|
3 |
apache-2.0 |
Python |
| Accompanying code for our *SEM 2018 @ NAACL 2018 paper "Mixing Context Granularities for Improved Entity Linking on Question Answering Data across Entity Categories" |
| ContextScout/ned-graphs |
24 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
|
Python |
| alicogintel/Knowledge-Enriched-BERT |
23 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
|
|
| knowledge-enabled bert model papers |
| wpoa/OA-signalling |
19 |
|
0 |
0 |
about 9 years ago |
0 |
|
80 |
gpl-3.0 |
Jupyter Notebook |
| A project to coordinate implementing a system to signal whether references cited on Wikipedia are free to reuse |
| TIBHannover/cross-modal_entity_consistency |
17 |
|
0 |
0 |
almost 4 years ago |
0 |
|
1 |
|
Python |
| This repository contains the dataset and source files to reproduce the results in the publication Müller-Budack et al. 2021: "Multimodal news analytics using measures of cross-modal entity and context consistency", In: International Journal on Multimedia Information Retrieval (IJMIR), Vol. 10, Art. no. 2, 2021. |
| lubianat/wikidata_bib |
12 |
|
0 |
0 |
over 2 years ago |
0 |
|
12 |
other |
Python |
| A prototype for organizing bibliography notes using Wikidata |
| UKPLab/eswc2017-question-answering |
7 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| Accompanying code for our 4th SemWebEval Challenge @ ESWC 2017 paper "End-to-end Representation Learning for Question Answering with Weak Supervision" |
