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Found 9 papers, 2 papers with code
BERT for Target Apps Selection: Analyzing the Diversity and Performance of BERT in Unified Mobile Search
A unified mobile search framework aims to identify the mobile apps that can satisfy a user's information need and route the user's query to them.
BERT meets Cranfield: Uncovering the Properties of Full Ranking on Fully Labeled Data
The majority of such models have been tested on data collections with partial relevance labels, where various potentially relevant documents have not been exposed to the annotators.
Exploring task-based query expansion at the TREC-COVID track
We explore how to generate effective queries based on search tasks.
Reducing Misinformation in Query Autocompletions
Query autocompletions help users of search engines to speed up their searches by recommending completions of partially typed queries in a drop down box.
Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records
We test the generalizability of three de-identification methods across languages and domains.
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