Vision and natural language for metadata extraction from scientific PDF documents

Author:

Boukhers Zeyd1,Bouabdallah Azeddine1

Affiliation:

1. University of Koblenz-Landau, Germany

Publisher

ACM

Reference31 articles.

1. 2008--2021. GROBID. https://github.com/kermitt2/grobid. (2008--2021). swh:1:dir:dab86b296e3c3216e2241968f0d63b68e8209d3c 2008--2021. GROBID. https://github.com/kermitt2/grobid. (2008--2021). swh:1:dir:dab86b296e3c3216e2241968f0d63b68e8209d3c

2. Philip G. Altbach and Hans de Wit . 2018 . Too much academic research is being published. https://www.universityworldnews.com/post.php?story=20180905095203579 Philip G. Altbach and Hans de Wit. 2018. Too much academic research is being published. https://www.universityworldnews.com/post.php?story=20180905095203579

3. Citation Metadata Extraction via Deep Neural Network-based Segment Sequence Labeling

4. Sam Anzaroot and Andrew Mccallum . 2013 . A New Dataset for Fine-Grained Citation Field Extraction . ICML Workshop on Peer Reviewing and Publishing Models. (2013). Sam Anzaroot and Andrew Mccallum. 2013. A New Dataset for Fine-Grained Citation Field Extraction. ICML Workshop on Peer Reviewing and Publishing Models. (2013).

5. A multimodal approach for extracting content descriptive metadata from lecture videos

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