with Shared Tasks on Quran QA and Fine-Grained Hate Speech Detection
Marseille, France. 20th June 2022. Co-located with LREC 2022
Given the success of the first, second, third, and fourth workshops on Open-Source Arabic Corpora and Corpora Processing Tools (OSACT) in LREC 2014, LREC 2016, LREC 2018 and LREC 2020, the fifth workshop comes to encourage researchers and practitioners of Arabic language technologies, including computational linguistics (CL), natural language processing (NLP), and information retrieval (IR) to share and discuss their latest research efforts, corpora, and tools. The workshop will also give special attention on Multilingualism and Language Technology for All, which is one of LREC 2022 hot topics. In addition to the general topics of CL, NLP and IR, the workshop will give a special emphasis on two shared tasks, namely: Quran QA and Fine-Grained Hate Speech Detection.
In the NLP, CL, and IR communities, Arabic is considered to be relatively resource-poor compared to English. This situation was thought to be the reason for the limited number of corpus-based studies in Arabic. However, the past years witnessed the emergence of new considerably free Modern Standard Arabic (MSA) corpora and to a lesser extent Arabic processing tools.
This workshop follows the footsteps of previous editions of OSACT to provide a forum for researchers to share and discuss their ongoing work. This workshop is timely given the continued rise in research projects focusing on Arabic Language Resources.
Tools and Technologies:
Issues in the design, construction and use of Arabic LRs: text, speech, sign, gesture, image, in single or multimodal/multimedia data:
Submission deadline: April 10, 2022
Notification of acceptance: May 1, 2022
Camera Ready of manuscripts: May 25, 2022
Workshop date: June 20, 2022
The language of the workshop is English and submissions should be with respect to LREC 2022 paper submission instructions (https://lrec2022.lrec-conf.org/en/submission2020/authors-kit/). All papers will be peer reviewed, possibly by three independent referees. Papers must be submitted electronically in PDF format to the STAR system.
When submitting a paper from the START page, authors will be asked to provide essential information about resources (in a broad sense, i.e. also technologies, standards, evaluation kits, etc.) that have been used for the work described in the paper or are a new result of your research.
Moreover, ELRA encourages all LREC authors to share the described LRs (data, tools, services, etc.) to enable their reuse and replicability of experiments (including evaluation ones).
Submission link: START Page