collocated with the Eighth Swedish Language Technology Conference (SLTC), University of Gothenburg, Sweden

25th November 2020

The workshop will be held online.

Update: Submission of extended abstracts: 29th September 2020

Workshop description

All areas of natural language processing have achieved visible breakthroughs from the use of data-driven models. Contemporary machine learning is significantly influenced by techniques that rely on large datasets that demand substantial computational resources to solve practical problems in a tangible way (e.g. models based on transformers such as BERT, VilBERT, ALBERT, and GPT-2 that are pre-trained on large corpora of unlabelled data).

However, many of the world’s languages lack the availability of linguistic description as well as of sufficiently large computer-readable corpora of linguistic material. Even those languages that are considered well-resourced have some domains where resources are scarce, for example corpora of dialogue and situated interaction. Another similarity of these domains with under-resourced languages is that since they focus on spoken or spoken-like interaction (either in a written or an audio form) they show a high variability of input data. Applying state-of-the-art deep-neural-network-based methods for the development of data-driven systems in such resource-constrained environments is a non-trivial task.

For this workshop, we encourage contributions in the area of resource creation and representation learning in limited or low-resource environments that are tackling the above mentioned problems. In particular we would like to open a forum by bringing together students, researchers, and experts to address and discuss the following questions:

Intended participants are researchers, PhD students and practitioners from diverse backgrounds (linguistics, computational linguistics, speech, machine learning etc). We foresee an interactive workshop with plenty of time for discussion, complemented with invited talks and short presentations of on-going or completed research.

Submission

We invite submissions of 2-page extended non-anonymous abstracts with any number of pages for references using the ACL/EMNLP template. Papers related to our theme and already presented at other venues or have already been published elsewhere will be considered for acceptance for presentation as well. The abstracts will be reviewed by the workshop organisers and the accepted ones will be posted on the website, unless authors wish not to do so. There will be no workshop proceedings but post-proceedings may be organised depending on the interest of authors.

Extended abstracts should be submitted in the pdf format at https://easychair.org/conferences/?conf=resourceful2020

Important dates

All times are 11:59PM UTC-12:00 (“anywhere on Earth”).

Organizers

Tewodros Gebreselassie
GU
Simon Dobnik
GU
Lars Borin
GU

Contact: resourceful2020@easychair.org