Hierarchical Transformer-based Query by Multiple Documents
Zhiqi Huang, Shahrzad Naseri, Hamed Bonab, Sheikh Muhammad Sarwar, James Allan · 2023
It is often difficult for users to form keywords to express their information needs, especially when they are not familiar with the domain of the articles of interest. Moreover, in some search scenarios, there is no explicit query for the search engine to work with. Query-By-Multiple-Documents (QBMD), in which the information needs are implicitly represented by a set of relevant documents addresses these retrieval scenarios. Unlike the keyword-based retrieval task, the query documents are treated as exemplars of a hidden query topic, but it is often the case that they can be relevant to multiple topics.