The aim of the 4th edition of SIGTYP workshop is to act as a platform and a forum for the exchange of information between typology-related research, multilingual NLP, and other research areas that can lead to the development of truly multilingual NLP methods. The workshop is specifically aimed at raising awareness of linguistic typology and its potential in supporting and widening the global reach of multilingual NLP, as well as at introducing computational approaches to linguistic typology. It will foster research and discussion on open problems, not only within the active community working on cross- and multilingual NLP but also inviting input from leading researchers in linguistic typology.
SIGTYP workshop is the first dedicated venue for typology-related research and its integration in multilingual NLP. Appropriate topics include (but are not limited to) the following as they relate to the areas of the workshop:
• Integration of typological features in language transfer and joint multilingual learning. In addition to established techniques such as “selective sharing”, are there alternative ways to encode heterogeneous external knowledge in machine learning algorithms?
• Development of unified taxonomy and resources. Building universal databases and models to facilitate understanding and processing of diverse languages.
• Automatic inference of typological features. The pros and cons of existing techniques (e.g. heuristics derived from morphosyntactic annotation, propagation from features of other languages, supervised Bayesian and neural models) and discussion on emerging ones.
• Typology and interpretability. The use of typological knowledge for interpretation of hidden representations of multilingual neural models, multilingual data generation and selection, and typological annotation of texts.
• Improvement and completion of typological databases. Combining linguistic knowledge and automatic data-driven methods towards the joint goal of improving the knowledge on cross-linguistic variation and universals.
• Linguistic diversity and universals. Challenges of cross-lingual annotation. Which linguistic phenomena or categories should be considered (near-)universal? How should they be annotated?
• Bringing technology to document under-described languages. Improving model performance and documentation of under-resourced languages using typological databases, multilingual models and data from high-resource languages.
This year’s edition will include a shared task: “Prediction of Cognate Reflexes”, more details can be found in the following link: https://github.com/sigtyp/ST2022/tree/mattis
Important Dates (all deadlines are 23:59 AoE)
— Submission Deadline: April 8, 2022
— Notification of Acceptance: May 6, 2022
— Camera-ready copy due from authors: May 20, 2022
— Workshop: July 14, 2022
We invite both extended abstract submissions (non-archival) and general paper submissions (archival). The accepted submissions will be presented at the workshop, providing new insights and ideas. Extended abstracts should describe already published work or work in progress and should not exceed two (2) pages. This way, we will not discourage researchers from preferring main conference proceedings, at the same time ensuring that interesting and thought-provoking research is presented at the workshop. For general (archival) submissions we accept both long and short papers. Short papers should not exceed four (4) pages, long papers should not exceed eight (8) pages papers. Unlimited additional pages are allowed for the references section in all submission types.
Submissions should be anonymous, without authors or an acknowledgement section; self-citations should appear in third person.
Submissions should follow the ARR style guidelines: https://aclrollingreview.org/cfp; both long and short paper submissions must follow the two-column format of ACL proceedings. All submissions must be in PDF format.
These should be submitted via OpenReview: https://openreview.net/group?id=aclweb.org/NAACL/2022/Workshop/SIGTYP -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 18970 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20220307/20a6bcf1/attachment.txt>