Interactive Information Extraction Research Scientist

In this role, you will integrate users’ feedback into machine-learned models to combine the best of human intelligence and AI for language understanding as well as extend interactive learning techniques beyond shallow NLP (text classification, topic modeling) to include human-in-the-loop named entity recognition, relation extraction, structure prediction tasks and more.

In this role, you will:

• Map textual data to representations of meaning suitable for data aggregation
• Design broad-coverage semantic representations, deep enough to capture linguistic phenomena relevant to data aggregation
• Build statistical models to learn these representations given limited supervision

Required Skills

• Structure prediction
• Track record of publishing in top-tier conferences