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Bevorstehende Events (1)
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.