Arthur S. Jacobs
- A. Abhashkumar, J. Kang, S. Banerjee, A. Akella, Y. Zhang, and W. Wu. 2017. Supporting Diverse Dynamic Intent-based Policies Using Janus. In Proceedings of the 13th International Conference on Emerging Networking EXperiments and Technologies (CoNEXT '17). Acm, New York, NY, USA, 296--309. Google Scholar
Digital Library
- A. Alsudais and E. Keller. 2017. Hey network, can you understand me?. In 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). 193--198.Google Scholar
- R. Birkner, D. Drachsler-Cohen, L. Vanbever, and M. Vechev. 2018. Net2Text: Query-Guided Summarization of Network Forwarding Behaviors. In 15th USENIX Symposium on Networked Systems Design and Implementation (NSDI 18). USENIX Association, Renton, WA, 609--623. https://www.usenix.org/conference/nsdi18/presentation/birkner Google ScholarDigital Library
- A. S. Jacobs, R. J. Pfitscher, R. A. Ferreira, and L. Z. Granville. 2019. Refining Network Intents for Self-driving Networks. SIGCOMM Comput. Commun. Rev. 48, 5 (jan 2019), 55--63. Google ScholarDigital Library
- D. Jurafsky and J. H. Martin. 2019. Speech and Language Processing (3rd (draft) ed.). Prentice Hall PTR, Upper Saddle River, NJ, USA. https: //web.stanford.edu/~jurafsky/slp3/Google Scholar
- L. Ryzhyk, N. Bjørner, M. Canini, J. Jeannin, C. Schlesinger, D. B. Terry, and G. Varghese. 2017. Correct by Construction Networks Using Stepwise Refinement. In 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI 17). USENIX Association, Boston, MA, 683--698. https://www.usenix.org/conference/nsdi17/technical-sessions/presentation/ryzhyk Google ScholarDigital Library
- R. Soulé, S. Basu, P. J. Marandi, F. Pedone, R. Kleinberg, E. G. Sirer, and N. Foster. 2018. Merlin: A Language for Managing Network Resources. IEEE/ACM Transactions on Networking 26, 5 (Oct 2018), 2188--2201. Google ScholarDigital Library
Index Terms
- Deploying Natural Language Intents with Lumi
Recommendations
Is natural language an unnatural query language?
ACM '72: Proceedings of the ACM annual conference - Volume 2The complex system of form/meaning correlations comprising a natural language presents a considerable challenge for automated interpretation. In order to deal with such complexity, attempts at automated interpretation of natural language queries have ...
Refining network intents for self-driving networks
Recent advances in artificial intelligence (AI) offer an opportunity for the adoption of self-driving networks. However, network operators or home-network users still do not have the right tools to exploit these new advancements in AI, since they have ...
Natural language processing: a prolog perspective
Natural language processing (NLP) is a vibrant field of interdisciplinary Computer Science research. Ultimately, NLP seeks to build intelligence into software so that software will be able to process a natural language as skillfully and artfully as ...
Comments