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LT4HALA 2022

--Home--  --CFP--  --EvaLatin--  --EvaHan--  --Program--  --Organization--

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CALL FOR PAPERS

DESCRIPTION

LT4HALA 2022 is a one-day workshop that seeks to bring together scholars who are developing and/or are using Language Technologies (LTs) for historically attested languages, so to foster cross-fertilization between the Computational Linguistics community and the areas in the Humanities dealing with historical linguistic data, e.g. historians, philologists, linguists, archaeologists and literary scholars. Despite the current availability of large collections of digitized texts written in historical languages, such interdisciplinary collaboration is still hampered by the limited availability of annotated linguistic resources for most of the historical languages. Creating such resources is a challenge and an obligation for LTs, both to support historical linguistic research with the most updated technologies and to preserve those precious linguistic data that survived from past times.

Relevant topics for the workshop include, but are not limited to:

  • handling spelling variation;
  • detection and correction of OCR errors;
  • creation and annotation of digital resources;
  • deciphering;
  • morphological/syntactic/semantic analysis of textual data;
  • adaptation of tools to address diachronic/diatopic/diastratic variation in texts;
  • teaching ancient languages with NLP tools;
  • NLP-driven theoretical studies in historical linguistics;
  • evaluation of NLP tools.

SHARED TASKS

Just because of the limited amount of data preserved for historical and ancient languages, an important role is played by evaluation practices, to understand the level of accuracy of the NLP tools used to build and analyze resources. LT4HALA 2022 will host two shared tasks:

  • 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). EvaLatin is organized by Rachele Sprugnoli (Università Cattolica del Sacro Cuore), Margherita Fantoli (KU Leuven), Flavio M. Cecchini (Università Cattolica del Sacro Cuore), Marco Passarotti (Università Cattolica del Sacro Cuore).
  • the first edition of EvaHan, the first evaluation campaign for the evaluation of NLP tools for Ancient Chinese organized by the team of Bin Li (School of Chinese Language and Literature, Nanjing Normal University). EvaHan first edition has one task (i.e. a joint task of Word Segmentation and POS Tagging). EvaHan is organized by Bin Li (Nanjing Normal University), Yiguo Yuan (Nanjing Normal University), Minxuan Feng (Nanjing Normal University), Chao Xu (Nanjing Normal University), Dongbo Wang (Nanjing Agricultural University).

SUBMISSIONS

For the workshop, we invite papers of different types such as experimental papers, reproduction papers, resource papers, position papers, survey papers. Both long and short papers describing original and unpublished work are welcome. We encourage the authors of papers reporting experimental results to make their results reproducible and the entire process of analysis replicable, by making the data and the tools they used available. The form of the presentation may be oral or poster, whereas in the proceedings there is no difference between the accepted papers. The submission is NOT anonymous. The LREC official format is requested. Each paper will be reviewed but three independent reviewers.

As for EvaLatin and EvaHan, participants will be required to submit a technical report for each task (with all the related sub-tasks) they took part in. Technical reports will be included in the proceedings as short papers: the maximum length is 4 pages (excluding references) and they should follow the LREC official format. Reports will receive a light review (we will check for the correctness of the format, the exactness of results and ranking, and overall exposition). All participants will have the possibility to present their results at the workshop: we will allocate an oral session and a poster session fully devoted to the shared tasks in the afternoon.

IMPORTANT DATES

Workshop

  • 8 April 2022 NEW - 15 April 2022: submission due
  • 29 April 2022: reviews due
  • 3 May 2022: notifications to authors
  • 24 May 2022: camera-ready (PDF) due

Shared Tasks - PLEASE NOTE THAT NO EXTENSION IS PLANNED FOR THE SHARED TASKS

EvaLatin

  • 20 December 2021: training data available
  • Evaluation Window I - Task: Lemmatization
    • 17 March 2022: test data available
    • 23 March 2022 system results due to organizers
  • Evaluation Window II - Task: PoS tagging
    • 24 March 2022: test data available
    • 30 March 2022: system results due to organizers
  • Evaluation Window III - Task: Features tagging
    • 31 March 2022: test data available
    • 6 April 2022: system results due to organizers
  • 26 April 2022: reports submission via SoftConf
  • 10 May 2022: short report review deadline
  • 24 May 2022: camera ready version submission via SoftConf

EvaHan

  • 20 December 2021: training data available
  • Evaluation Window
    • 31 March 2022: test data available
    • 6 April 2022: system results due to organizers
  • 26 April 2022: reports submission via SoftConf
  • 10 May 2022: short report review deadline
  • 24 May 2022: camera ready version submission via SoftConf

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.

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