Advances from the natural language processing community have recently sparked a renaissance in the task of adhoc search. Particularly, large contextualized language modeling techniques, such as BERT, have equipped ranking models with a far deeper …
Predicting the query latency by a search engine has important benefits, for instance, by allowing the search engine to adjust its configuration to address long-running queries without unnecessarily sacrificing its effectiveness. However, for the …
Predicting the query latency by a search engine has important benefits, for instance, by allowing the search engine to adjust its configuration to address long-running queries without unnecessarily sacrificing its effectiveness. However, for the …
Advances from the natural language processing community have recently sparked a renaissance in the task of adhoc search. Particularly, large contextualized language modeling techniques, such as BERT, have equipped ranking models with a far deeper …
Advances from the natural language processing community have recently sparked a renaissance in the task of adhoc search. Particularly, large contextualized language modeling techniques, such as BERT, have equipped ranking models with a far deeper …