What we're about

This is a group for people in the greater Stockholm region, interested in Natural Language Processing (NLP) and applications thereof and technologies related to it. The Stockholm NLP Meetup is being run for now, with online programs in conjunction with other NLP meetups, by Seth Grimes.

The Meetup gatherings will explore research, applications and the latest advancements in NLP and related fields. The meetings will be an opportunity for interested individuals to network, learn about latest advancements in the field, share their experience in industrial work or research projects, and have a forum to discuss topics of interest with both academic and industrial experts. Topics will cover a wide range from Computational Linguistics, Machine Learning, Information Retrieval, Data Analytics, and Media Monitoring. These topics are not limited to pure NLP domain but also solutions/research in other domains which can potentially be applied in NLP. If you are working in NLP or would like to know more, please join us.

Upcoming events (1)

Deep Learning for NLP with Distributed Training + Hybrid NLP on Edge Computers

This October 1 online NLP meetup program will have two presentations, 1) Faster Deep Learning for NLP with Distributed Training followed by 2) Hybrid NLP on Edge Computers. The program originates with the New York NLP meetup and starts at 8 pm CEST. Talk #1, Faster Deep Learning for NLP with Distributed Training, features Dave Troiano, a Solutions Engineer at Determined AI. His abstract: In this talk, we reduce BERT training time by more than an order of magnitude with the Determined Deep Learning Training Platform's distributed training capability. Distributed training is a technique in which we leverage multiple GPUs, potentially spread across multiple machines, in order to speed up the overall time it takes to train a model. Moving from a single GPU to multiple is rife with challenges spanning machine learning and systems, and we'll show how Determined AI's open source platform helps NLP practitioners surmount these challenges in order to experiment more quickly and easily than ever before. Dave Troiano is a solutions engineer at Determined AI, the open source deep learning training platform. Previously, he has worked in text analytics as an engineer at Basis Technology, and in the text-based search & discovery space as an SE at Lucidworks. Talk #2, Hybrid NLP on Edge Computers, features Antonio Linari, chief technology officer at Expert System Enterprise. His abstract: Find out how by mixing symbolic AI with traditional deep learning language modeling, it's possible to reach NLP SOTA on edge computers like Nvidia Jetson Nano. Starting from Wikipedia and running the full NLP pipeline, based on semantic network and word sense disambiguation, is possible to train unified language model, fine tuning - ULMFiT to work with real contextual word embeddings. As an example the IMDB corpus will be used to train a model for sentiment analysis. By responding here, you acknowledge and consent to our Code of Conduct: We seek to provide a respectful, friendly, professional experience for everyone regardless of gender, sexual orientation, physical appearance, disability, age, race, and religion. We do not tolerate behavior that is harassing or degrading to any individual, in any form. Participants are responsible for knowing and abiding by these standards. We encourage all attendees to assist in creating a welcoming, safe, and respectful experience.

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