References

How to cite

If you want to cite this work, please simply refer to the github project, with optionally the Software Heritage project-level permanent

identifier: :: grobid-quantities (2015-2024)
<https://github.com/kermitt2/grobid-quantities>,
swh:1:dir:dbf9ee55889563779a09b16f9c451165ba62b6d7

Here's a BibTeX entry using the Software Heritage project-level permanent identifier:

@misc{grobid-quantities, 
    title = {grobid-quantities},
    howpublished = {url{https://github.com/kermitt2/grobid-quantities}},
    publisher = {GitHub}, 
    year = {2015\--2024}, 
    archivePrefix = {swh},
    eprint = {1:dir:dbf9ee55889563779a09b16f9c451165ba62b6d7} 
}

Main papers about grobid-quantities

Luca Foppiano, Laurent Romary, Masashi Ishii, and Mikiko Tanifuji. Automatic identification and normalisation of physical measurements in scientific literature. September 2019, ACM, DocEng '19, Berlin, Germany. https://hal.inria.fr/hal-02294424

Kyle Hundman and Chris A. Mattmann. Measurement Context Extraction from Text: Discovering Opportunities and Gaps in Earth Science. 2017, KDD 2017, Halifax, Nova Scotia, Canada. https://arxiv.org/pdf/1710.04312.pdf

Datasets

UNISCOR

UNISCOR (Units Segmentation Corpus) is a corpus of "unit segmentation" and is available here. It was created with the support of NIMS (National Institute for Material Science), in Japan. For more information, see:

Leveraging Segmentation of Physical Units through a Newly Open Source Corpus. September 2019, JSAP Fall 2019, Sapporo, Japan