Modelling document-query interaction in a hierarchical neural model for IR

Johan Chagnon, Diana Popa, Yagmur Gizem Cinar & Eric Gaussier
Recent deep approaches to information retrieval are either representation-oriented or interaction-oriented, depending on how they view the modelling of document and query representations and their interactions. We explore a hierarchical approach to document encoding that enables modelling the query-document interaction at different levels of granularity. The proposed model splits the input documents into blocks that are individually matched to a given query through a series of self-attention modules, along with pooling and projection layers. We...
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