From Nordic Language Processing Laboratory
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and upcoming computing infrastructures, with emphasis on GPU resources.
and upcoming computing infrastructures, with emphasis on GPU resources.
{| class="wikitable"
!colspan=3|Monday, January 29, 2018
| 13:30 || 15:00 || Session 1: Deep Learning for NLP (LxMLS)
| 13:30 || 15:00 || Session 1: Deep Learning for NLP (LxMLS)

Revision as of 11:42, 11 December 2017


A desirable side-effect of the NLPL cooperation is community formation, i.e. strengthening interaction and collaboration among Nordic research teams in NLP and advancing a shared level of knowledge and experience in using national e-Infrastructures for large-scale NLP research. Towards these goals, the project will organize some training and outreach events.

For early 2018, NLPL will hold a winter school in conjunction with the NeIC All-Hands Meeting (AHM), to which some NLPL team members will be invited. The NeIC meeting will be held from January 29 to February 1, 2018, in the Norwegian mountain resort at Skeikampen.

Probably starting after lunch on Monday, January 29, NLPL will kick off its winter school in E-Infrastructure and Scientific Computing for Nordic Natural Language Processing Research. The winter school will have a duration of two days, i.e. end with lunch on Wednesday, January 31. We anticipate participation of around 20 people, where the majority will come from the NLPL partner sites.

NLPL team members, associates at partner sites (e.g. doctoral and post-doctoral fellows, possibly also some MSc students), and other prospective users of the infrastructure will be invited to attend; NLPL partners can have their cost of participation covered by the project.


The winter school will comprise different types of activities, including (a) overview talks, for example on GPU programming (with emphasis on Taito and Abel), ‘deep’ learning paradigms and toolkits, or other scientific programming and HPC techniques; (b) in-depth tutorials on parts of the NLPL infrastructure (e.g. translation, parsing, and extrinsic evaluation software, as well as corpora and embeddings) and other topics of relevance to the project (e.g. ‘containerization’); and (c) hands-on hackathons, i.e. collective programming and experimentation in specific toolkits (e.g. environments like DyNet, MPI, or CUDA). Participation in the hackathons will require preparation prior to the winter school, which NLPL partner sites will organize locally.

Two of the co-organizers of the Lisbon Machine Learning School (LxML), André Martins and Ramon Fernandez Astudillo will work through selections of the LxML programme, with a special focus on deep learning approaches to NLP. Additionally, NLPL team members will provide a walk-through of the emerging infrastructure, there will be a high-level tutorial on the use of Singularity containers, and representatives of the Finnish and Norwegian national providers will provide a survey of available and upcoming computing infrastructures, with emphasis on GPU resources.

Monday, January 29, 2018
13:30 15:00 Session 1: Deep Learning for NLP (LxMLS)
15:00 15:30 Coffee Break
15:30 17:00 Session 2: Deep Learning for NLP (LxMLS)
17:00 17:30 Coffee Break
17:30 19:00 Session 3: Walk-Through of NLPL Infrastructure


NLPL will provide bus transfer from and to Oslo Aiport Gardermoen (OSL), leaving at 9:30 on Monday morning and returning to OSL around 16:30 on Wedensday.

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