Publikation:

AnnoMathTeX : a formula identifier annotation recommender system for STEM documents

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Scharpf_2-11sd3i287hn751.pdf
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Datum

2019

Autor:innen

Beel, Joeran

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http://nbn-resolving.de/urn:nbn:de:bsz:352-2-11sd3i287hn751
DOI (zitierfähiger Link)
https://doi.org/10.1145/3298689.3347042
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Published

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RecSys '19 : Proceedings of the 13th ACM Conference on Recommender Systems : September 16-20, 2019, Copenhagen, Denmark. New York: ACM Press, 2019, pp. 532-533. ISBN 978-1-4503-6243-6. Available under: doi: 10.1145/3298689.3347042

Zusammenfassung

Documents from science, technology, engineering and mathematics (STEM) often contain a large number of mathematical formulae alongside text. Semantic search, recommender, and question answering systems require the occurring formula constants and variables (identifiers) to be disambiguated. We present a first implementation of a recommender system that enables and accelerates formula annotation by displaying the most likely candidates for formula and identifier names from four different sources (arXiv, Wikipedia, Wikidata, or the surrounding text). A first evaluation shows that in total, 78% of the formula identifier name recommendations were accepted by the user as a suitable annotation. Furthermore, document-wide annotation saved the user the annotation of ten times more other identifier occurrences. Our long-term vision is to integrate the annotation recommender into the edit-view of Wikipedia and the online LaTeX editor Overleaf.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

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Konferenz

RecSys '19: The 13th ACM Conference on Recommender Systems, 16. Sept. 2019 - 20. Sept. 2019, Copenhagen, Denmark
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ISO 690SCHARPF, Philipp, Ian MACKERRACHER, Moritz SCHUBOTZ, Joeran BEEL, Corinna BREITINGER, Bela GIPP, 2019. AnnoMathTeX : a formula identifier annotation recommender system for STEM documents. RecSys '19: The 13th ACM Conference on Recommender Systems. Copenhagen, Denmark, 16. Sept. 2019 - 20. Sept. 2019. In: RecSys '19 : Proceedings of the 13th ACM Conference on Recommender Systems : September 16-20, 2019, Copenhagen, Denmark. New York: ACM Press, 2019, pp. 532-533. ISBN 978-1-4503-6243-6. Available under: doi: 10.1145/3298689.3347042
BibTex
@inproceedings{Scharpf2019AnnoM-47044,
  year={2019},
  doi={10.1145/3298689.3347042},
  title={AnnoMathTeX : a formula identifier annotation recommender system for STEM documents},
  isbn={978-1-4503-6243-6},
  publisher={ACM Press},
  address={New York},
  booktitle={RecSys '19 : Proceedings of the 13th ACM Conference on Recommender Systems : September 16-20, 2019, Copenhagen, Denmark},
  pages={532--533},
  author={Scharpf, Philipp and Mackerracher, Ian and Schubotz, Moritz and Beel, Joeran and Breitinger, Corinna and Gipp, Bela}
}
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Interner Vermerk

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