Modern search engines are constantly becoming more powerful and sophisticated allowing to index millions of documents and executing complex user queries in minimal time. Nevertheless, human intelligence and intervention is still needed to identify, interpret, extract and link relevant content from returned documents.
Recent advances in machine learning (ML) and natural language processing (NLP) have enabled us with promising tools and techniques for automating tasks, such as named entity recognition (NER), topic extraction, document categorization, query expansion, document recommendation, text summarization etc. The objective of the internship consists in designing, evaluating and implementing an ensemble of techniques, that complement/boost the capabilities of existing state-of-the-art search engines and facilitate users in identifying, extracting and linking relevant information from various, often heterogenous, sources.
The candidate will pursue research and development and will engage in the following activities:
Join our team as intern and you will find a young, dynamic and culturally diverse working environment.
About ELCA
With 50+ year of history and over 1000 specialists, we offer a unique spectrum of experience, skills and technical innovations.
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