As a research scientist at the German online retail giant Zalando, Dr. Alan Akbik is an expert in Natural Language Processing and Data Extraction. In his work for the company, which at any given moment is handling massive numbers of online transactions in multiple languages, Akbik helps unveil unique insights into the very structure of human language by observing and analyzing huge sets of multilingual text data. Here's what he had to say about the possibilities for both business and the study of language that NLP is bringing online. What first inspired you to pursue a career as a data scientist? In a sense, all of humankind's knowledge is stored in written language in books, the Web, and elsewhere.
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. 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. 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. Our framework builds directly on Pytorch, making it easy to train your own models and experiment with new approaches using Flair embeddings and classes.
How close are artificial intelligence systems to human-level intelligence? This poses numerous questions about impact and timescales, as well as potential positive effects on our environment. The RE•WORK Machine Intelligence Summit, taking place on 28-29 June 2017 in Amsterdam, will explore these impacts in depth. Robots are goal orientated in nature and thus perceive their environment as such. In order to achieve goals based in cognition, robots not only need to map their environment but also discern semantics.
Zalando Tech is embarking on an exciting new chapter in its evolution. We've recently launched Zalando Research – an endeavour to place Zalando at the forefront of cutting-edge research, to complement our already strong foothold on technology. Why are we doing this? We already boast great researchers at Zalando Tech, so we want to give them an outlet where they can be better organised and aligned. We also want to have a greater impact in the tech research community, especially in the fields of data science, machine learning, and artificial intelligence (AI).
THE OPPORTUNITY Zalando Research sets the course for re-imagining fashion for the good of all. Machine Learning and AI are our research fields. That comprises today's most exciting research topics, such as Deep Learning, Computer Vision and NLP, Large Scale Bayesian Inference, Reinforcement Learning, Causality, Augmented and Virtual Reality. If you are an expert in one of these fields and have an impressive publication record then come join us and use your scientific background to drive Zalando-scale innovation! We stretch the limits of theory, we apply novel ideas in practice and we experiment.