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Date: 25 June 2022 (post-conference workshop)
handling spelling variation;
evaluation of NLP tools.
the second edition of EvaLatin, an evaluation campaign entirely devoted to the evaluation of NLP tools for Latin. The second edition of EvaLatin will focus on three tasks (i.e. Lemmatization, PoS tagging, and Morphological Feature Identification), each featuring three sub-tasks (i.e. Classical, Cross-Genre, Cross-Time).
the first edition of EvaHan, the first evaluation campaign for the evaluation of NLP tools for Ancient Chinese. EvaHan first edition has one task (i.e. a joint task of Word Segmentation and POS Tagging).
Training data for both shared tasks are available on the conference website:
EvaLatin 2022 training data: https://circse.github.io/LT4HALA/2022/EvaLatin#training-data
EvaHan 2022 training data: https://circse.github.io/LT4HALA/2022/EvaHan#training-data
8 April 2022: submission due
24 May 2022: camera-ready (PDF) due
20 December 2021: training data available
24 May 2022: camera ready version of reports due to organizers
20 December 2021: training data available
24 May 2022: camera ready version of reports due to organizers
Identify, Describe and Share your LRs!
Describing your LRs in the LRE Map is now a normal practice in the submission procedure of LREC (introduced in 2010 and adopted by other conferences). To continue the efforts initiated at LREC 2014 about “Sharing LRs” (data, tools, web-services, etc.), authors will have the possibility, when submitting a paper, to upload LRs in a special LREC repository. This effort of sharing LRs, linked to the LRE Map for their description, may become a new “regular” feature for conferences in our field, thus contributing to creating a common repository where everyone can deposit and share data.
As scientific work requires accurate citations of referenced work so as to allow the community to understand the whole context and also replicate the experiments conducted by other researchers, LREC 2022 endorses the need to uniquely Identify LRs through the use of the International Standard Language Resource Number (ISLRN, www.islrn.org), a Persistent Unique Identifier to be assigned to each Language Resource. The assignment of ISLRNs to LRs cited in LREC papers will be offered at submission time.
Marco Passarotti, Università Cattolica del Sacro Cuore, Milan, Italy
Rachele Sprugnoli, @RSprugnoli, Università Cattolica del Sacro Cuore, Milan, Italy
Marcel Bollmann, University of Copenhagen, Denmark
Dongbo Wang, Nanjing Agricultural University, P.R. China
Rachele Sprugnoli, Università Cattolica del Sacro Cuore, Milan, Italy
Marco Passarotti, Università Cattolica del Sacro Cuore, Milan, Italy
Bin Li, Nanjing Normal University, P.R. China
Dongbo Wang, Nanjing Agricultural University, P.R. China