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Association Rules Collaborative Annotation Data Mining on Graphs Dataset Retrieval Explainable Artificial Intelligence Graph Data Mining Graph Neural Networks In-Context Learning Information Extraction Knowledge Base Population Large Language Models Lexicon Induction Link Prediction Machine Learning Machine Learning on Graphs Natural Language Generation Natural Language Processing Ontology Engineering Pattern Mining Question Answering Relation Extraction Sequence Labeling Web Table Understanding 
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2017
 Ell, Basil;  Hakimov, Sherzod;  Braukmann, Philipp;  Cazzoli, Lorenzo;  Kaupmann, Fabian;  Mancino, Amerigo;  Memon, Junaid Altaf;  Rother, Kai;  Saini, Abhishek;  Cimiano, Philipp
Towards a large corpus of richly annotated web tables for knowledge base population Proceedings Article 
In: Proceedings of the 5th international workshop on Linked Data for Information Extraction (LD4IE), 2017.
Links | BibTeX | Schlagwörter: Knowledge Base Population, Web Table Understanding
@inproceedings{ell2017towards,

title = {Towards a large corpus of richly annotated web tables for knowledge base population},

author = {Basil Ell and Sherzod Hakimov and Philipp Braukmann and Lorenzo Cazzoli and Fabian Kaupmann and Amerigo Mancino and Junaid Altaf Memon and Kai Rother and Abhishek Saini and Philipp Cimiano},

url = {https://ceur-ws.org/Vol-1946/paper-02.pdf},

year  = {2017},

date = {2017-01-01},

urldate = {2017-01-01},

booktitle = {Proceedings of the 5th international workshop on Linked Data for Information Extraction (LD4IE)},

keywords = {Knowledge Base Population, Web Table Understanding},

pubstate = {published},

tppubtype = {inproceedings}

}

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https://ceur-ws.org/Vol-1946/paper-02.pdf
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