Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Deeptype | 516 | 5 years ago | 22 | other | Python | |||||
Code for the paper "DeepType: Multilingual Entity Linking by Neural Type System Evolution" | ||||||||||
Emnlp2017 Relation Extraction | 244 | 4 years ago | 5 | apache-2.0 | Python | |||||
Context-Aware Representations for Knowledge Base Relation Extraction | ||||||||||
Coling2018 Graph Neural Networks Question Answering | 116 | 4 years ago | 7 | apache-2.0 | Python | |||||
Accompanying code for our COLING 2018 paper "Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering" | ||||||||||
Starsem2018 Entity Linking | 45 | 4 years ago | 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" | ||||||||||
Ned Graphs | 24 | 6 years ago | 1 | Python | ||||||
Knowledge Enriched Bert | 23 | 3 years ago | ||||||||
knowledge-enabled bert model papers | ||||||||||
Oa Signalling | 19 | 7 years ago | 80 | gpl-3.0 | Jupyter Notebook | |||||
A project to coordinate implementing a system to signal whether references cited on Wikipedia are free to reuse | ||||||||||
Cross Modal_entity_consistency | 17 | 2 years ago | 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. | ||||||||||
Wikidata_bib | 12 | 6 months ago | 12 | other | Python | |||||
A prototype for organizing bibliography notes using Wikidata | ||||||||||
Eswc2017 Question Answering | 7 | 6 years ago | 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" |