Bag-of-Entities Representation for Ranking
By Chenyan Xiong, Jamie Callan, Tie-Yan Liu. 2016
47 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems, Information Retrieval & Search
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Citations in the corpus
- Word-Entity Duet Representations for Document Ranking (2017, methodology): “e improved by introducing related entities and their texts to expand the query [4, 20]. Document representation can be enriched by adding the annotated entities into the document’s vector space model [17, 21, 23]. „e ranking model can also be improved by utilizing the entities and their a−ributes to”
- Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering (2019, neutral): “Several IR approaches (Xiong et al., 2016; Raviv et al., 2016) use an off-the-shelf entity linker.”
- Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval (2018, background): “The recent progresses in entity-oriented search include better text representations with entity annotations (Xiong et al., 2016; Raviv et al., 2016), richer ranking features (Dalton et al.”