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Are you a weirdo, passionate about science, a bit of a rockstar and above average geeky, driven by the idea of leaving a positive imprint of the world? Then come join us!
Below are our current openings. You are also welcome to send a general hello to
talent@iris.ai.
Research project 1
(Get in touch for research collaborations)
Enriching word embeddings with domain specific knowledge
RQ: What is the best way of introducing domain-specific knowledge into a general word embedding model, in order to produce high quality embeddings within that domain? How can we balance the information provided by the domain-specific corpus and the generic knowledge? After enriching the embeddings, how can we effectively measure the domain adaptation?
RQ: What is the best way of introducing domain-specific knowledge into a general word embedding model, in order to produce high quality embeddings within that domain? How can we balance the information provided by the domain-specific corpus and the generic knowledge? After enriching the embeddings, how can we effectively measure the domain adaptation?
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Research project 2
(Get in touch for research collaborations)
Topic Models in the Spherical Embedding Space
RQ: How can we combine the spherical word and document embedding knowledge to create Topic Models ? Would there be a fundamental difference between an approach as such to the statistical topic modeling, e.g. LDA? What additional information can we learn from embedding topics to the word- and document-vector space? Would it be possible to analytically describe topic vectors mathematically for a more efficient and general application?
RQ: How can we combine the spherical word and document embedding knowledge to create Topic Models ? Would there be a fundamental difference between an approach as such to the statistical topic modeling, e.g. LDA? What additional information can we learn from embedding topics to the word- and document-vector space? Would it be possible to analytically describe topic vectors mathematically for a more efficient and general application?
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