Hypergraph-of-Entity: A General Model for Entity-Oriented Search
Jos\'e Devezas, S\'ergio Nunes

TL;DR
This paper evaluates the hypergraph-of-entity model for various entity-oriented search tasks, demonstrating its scalability and effectiveness across large datasets like Wikipedia, and proposing it as a universal framework for such searches.
Contribution
It extends the hypergraph-of-entity model to support multiple entity-oriented search tasks and scales it to large collections, providing a general, unified approach.
Findings
Effective for ad hoc entity retrieval and list completion
Scalable to the entire Wikipedia collection
Comparable to state-of-the-art results in INEX tasks
Abstract
The hypergraph-of-entity was conceptually proposed as a general model for entity-oriented search. However, only the performance for ad hoc document retrieval had been assessed. We continue this line of research by also evaluating ad hoc entity retrieval, and entity list completion. We also attempt to scale the model, so that it can support the complete INEX 2009 Wikipedia collection. We do this by indexing the top keywords for each document, reducing complexity by partially lowering the number of nodes and, indirectly, the number of hyperedges linking terms to entities. This enables us to compare the effectiveness of the hypergraph-of-entity with the results obtained by the participants of the INEX tracks for the considered tasks. We find this to be a viable model that is, to our knowledge, the first attempt at a generalization in information retrieval, in particular by supporting a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsTopic Modeling · Advanced Text Analysis Techniques · Information Retrieval and Search Behavior
MethodsHigh-Order Consensuses
