Worum es bei uns geht

AI is not true AI if it can not understand our language at least at the same level as we do. The main topics of our meetup include current and coming R&D in natural language processing and understanding. There will be three types of meetups for us.

1) Tech talk: The speaker will present models, tools, techniques or alike, either his own or other's work, w.r.t. NLP/NLU.

2) Theory talk: The speaker will talk about a wide range of theories such as neuroscience findings of how human process languages, computational linguistic theories, etc.

3) Mini-workshop: No single speaker. A topic, such as a burning problem in NLU will be selected by the group. It is then brained-stormed by the panel/audience.

Join us and rock the world!

Bevorstehende Events (1)

Introduction and Hands-on of the Open-Source NLP Framework Flair

Hi everyone, we are very pleased to invite you to the forth NLP meetup where we will hear two interesting presentations plus a super interesting hands-on experience learning about the state-of-the-art NLP framework Flair. Please bring your laptop. A project maintainer and mentors will be around to support you :). === Agenda === 18:00 - Welcome reception 18:30 - [Introduction] Agenda and Introduction 18:35 - [Presentation, incl. Q&A] TBA 19:10 - [Presentation, incl. Q&A] Introduction of Flair 19:25 - [Break] Networking and refreshment 19:45 - [Project Working Groups] Participants join up with a project of their interest and start to work on challenges, project maintainers /mentors will be around to provide support 21:45 - Event ends === FIRST Presentation === TBA === SECOND Presentation === • Alan Akbik: Zalando Research • Topic: Flair: A Natural Language Processing framework by Zalando Research (plus Hands-on session in working groups) Flair is a very simple framework for state-of-the-art NLP developed by Zalando Research: - A powerful NLP library. Flair allows you to apply our state-of-the-art natural language processing (NLP) models to your text, such as named entity recognition (NER), part-of-speech tagging (PoS), sense disambiguation and classification. - Multilingual. Thanks to the Flair community, we support a rapidly growing number of languages. We also now include 'one model, many languages' taggers, i.e. single models that predict PoS or NER tags for input text in various languages. - A text embedding library. Flair has simple interfaces that allow you to use and combine different word and document embeddings, including our proposed Flair embeddings, BERT embeddings and ELMo embeddings. - A Pytorch NLP framework. Our framework builds directly on Pytorch, making it easy to train your own models and experiment with new approaches using Flair embeddings and classes. • Bio: Alan is a senior research scientist at Zalando Research, researching deep learning technologies for advanced text analytics capabilities over large-scale multilingual text data. Before this, Alan was a researcher at IBM Research Almaden in San Jose, California, and before that a research associate at the TU Berlin. His research lies at the intersection of natural language processing (NLP) and information extraction (IE), with a particular focus on multilingual data and models of crosslingual semantics.

Vergangene Events (3)

On Sentiment Analysis and Information Retrieval

MaibornWolff GmbH KARE Kraftwerk

Fotos (18)