Citation?
nishkalavallabhi opened this issue · comments
What is a good way to cite nervaluate if we use it in our work? I did not find a citation in the usual locations such as a README.
Thanks @nishkalavallabhi we'll add a CITATIONS file. Bear with us...
I see it's already been cited in a few places @davidsbatista
Papers
Chester Palen-Michel, Nolan Holley, and Constantine Lignos. 2021. SeqScore: Addressing Barriers to Reproducible Named Entity Recognition Evaluation. In Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems, pages 40–50, Punta Cana, Dominican Republic. Association for Computational Linguistics.
Gao S, Kotevska O, Sorokine A, Christian JB (2021) A pre-training and self-training approach for biomedical named entity recognition. PLOS ONE 16(2): e0246310. https://doi.org/10.1371/journal.pone.0246310
Heddes J, Meerdink P, Pieters M, Marx M. The Automatic Detection of Dataset Names in Scientific Articles. Data. 2021; 6(8):84. https://doi.org/10.3390/data6080084
Murthy, R., Bhattacharjee, P., Sharnagat, R., Khatri, J., Kanojia, D. and Bhattacharyya, P., 2022. HiNER: A Large Hindi Named Entity Recognition Dataset. arXiv preprint arXiv:2204.13743.
Siim Orasmaa, Kadri Muischnek, Kristjan Poska, and Anna Edela. 2022. Named Entity Recognition in Estonian 19th Century Parish Court Records. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 5304–5313, Marseille, France. European Language Resources Association.
Wróblewska, A., Kaliska, A., Pawłowski, M., Wiśniewski, D., Sosnowski, W., & Ławrynowicz, A. (2022). TASTEset -- Recipe Dataset and Food Entities Recognition Benchmark. arXiv [cs.CL]. Ανακτήθηκε από http://arxiv.org/abs/2204.07775
Conference Proceedings
Ruosch, Florian; Sarasua, Cristina; Bernstein, Abraham (2022). BAM: Benchmarking Argument Mining
on Scientific Documents. In: The AAAI-22 Workshop on Scientific Document Understanding at the
Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), online due to COVID-19, 1 March
2022, CEUR Workshop Proceedings.
https://www.zora.uzh.ch/id/eprint/217835/1/2022_SDU_AAAI_RuoschEtAl__CEUR_.pdf
Theses
Schouten, H.J. (2021) Geoparsing Dutch Archival Descriptions. A Pipeline for Extracting and Linking Toponyms to the Linked Open Data Cloud. Msc Thesis, Utrecht University. Available at: https://studenttheses.uu.nl/handle/20.500.12932/41190?show=full
Elsewhere
Yes, I am aware of that. I just wanted to check if there is any official citation, as some repos keep that too. Thanks.
No worries - actually I was just posting this for @davidsbatista and myself - I was unaware that it had been cited anywhere!
Oh, I found out about it only while reading some paper a few months ago. It is cited in quite a few papers. E.g., this LREC 2022 paper too: http://lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.475.pdf
Oh, I found out about it only while reading some paper a few months ago. It is cited in quite a few papers. E.g., this LREC 2022 paper too: http://lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.475.pdf
Wow great - thanks - i'll add it to the list!
@ivyleavedtoadflax what do you say? Time for us to wrap up some of the ideas behind this software package, and make a short paper out of it?
maybe just pointing out, experimentally, when it's advantegous or not to mesaure NER task using this approach - not with the main intent to produce break through scientific adavance - but just to cristalize this small idea of evaluating NER not at the token level but full entity name - and providing an out-of-the-box solution to it
happy to hear what you think :)
Yess @davidsbatista I'm definitely in for that.