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welcome im nates ramos i work for hugging phase in the science team leading the north search and representation learning group and this is a talk about domain adaptation for dense information retrieval without labeled data which i will be presenting at the language technology lab at the university of cambridge so probably you have heard about neural search and youre wondering what is the hype about neural search so to demonstrate the power of neural search is is the following and here we have as a core post a simple wikipedia which has roughly 100 000 documents and we want to do some simple query what is the capital of the united states if we do standard lexical search bm25 we see the top hits are the following the first one is on capital because it contains the word capital and punishment in the united states second one is about ohio because ohio is a state in the united states also has a capital and the third hit is about nevada as its also a state in the united states it also ha