This Research Award is now closed
Natural language processing (NLP) has seen significant advances in recent years enabled by pre-training text representations on large amounts of unlabeled data. Unfortunately, this comes at the expense of large computational requirements, both at training and at inference time. The resulting models are orders of magnitude slower than what is typically used currently in real applications. This computational cost is the biggest barrier in the way of applying such models in practice and their wider adoption in the industry. Furthermore, with the rapid development of mobile devices and end-to-end encrypted communication, it is important to be able to run NLP models directly on those devices.
We are pleased to accept research proposals focused on making NLP models more efficient both at training and testing time. We hope this work will enable production applications of such models at scale and potentially make them directly runnable on mobile devices without losing the quality of models run on servers.
Applicants from the academic community are invited to submit a 1-2 page proposal outlining their intended research, budget, and estimated timeline.
Awards will range up to $80,000 for projects lasting up to 12 months. Successful proposals will demonstrate innovative and compelling research that has the potential to significantly advance technology. Up to ten projects will be awarded.
Research topics should be relevant to computationally efficient NLP. Topics can include, but are not limited to:
- Model compression techniques such as quantization, knowledge distillation, model pruning, etc.
- More efficient, modular, sparse architectures
- Universal representations which can be cached (i.e. that don’t need fine-tuning)
- Non-parametric (lookup table-based) approaches, which can be more memory demanding but more computationally efficient
We’re especially interested in applications to the following:
- Large, pre-trained representations
- Machine translation models
- On-device NLP
Proposals should include
- A summary of the project (1-2 pages) explaining the area of focus, a description of techniques, any relevant prior work and a timeline with milestones and expected outcomes
- A draft budget description (1 page) including an approximate cost of the award and explanation of how funds would be spent
- Curriculum Vitae for all project participants
- Organization details, i.e. tax information and administrative contact details
- Awards must comply with applicable US and international laws, regulations and policies.
- Applicants must be current full-time faculty at an accredited academic institution that awards research degrees to PhD students.
- Applicants must be the Principal Investigator on any resulting award.
- Applicants may submit one proposal per solicitation.
- Organizations must be a nonprofit or non-governmental organization with recognized legal status in their respective country (equal to 501(c)(3) status under the United States Internal Revenue Code).
Timing and Dates
- Applications are now closed.
- Notifications will be sent by email to selected applicants by July 28, 2019.
For questions related to this RFP, please email email@example.com.