{"url":"/method/muver","slug":"muver","name":"MuVER","full_name":"MuVER","full_name_withheld":false,"description_markdown":"**Multi-View Entity Representations**, or **MuVER**, is an approach for entity retrieval that constructs multi-view representations for entity descriptions and approximates the optimal view for mentions via a heuristic searching method. It matches a mention to the appropriate entity by comparing it with entity descriptions. Motivated by the fact that mentions with different contexts correspond to different parts in descriptions, multi-view representations are constructed for each description. Specifically, we segment a description into several sentences. We refer to each sentence as a view $v$, which contains partial information, to form a view set $\\mathcal{V}$ of the entity $e$. The Figure illustrates an example that constructs a view set $\\mathcal{V}$ for “Kobe Bryant”.","description_state":"present","introduced_year":null,"introduced_by":{"title":null,"paper":null,"first_author":null,"n_authors":0,"url_abs":null,"archive_paper_url":null},"source":{"url":"https://arxiv.org/abs/2109.05716v1","title":"MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"Natural Language Processing","area_id":"natural-language-processing","collection":"Entity Retrieval Models","url":"/methods/category/entity-retrieval-models","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":null,"papers_newest_first":[{"paper":"/paper/muver-improving-first-stage-entity-retrieval","title":"MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations","date":"2021-09-13","arxiv_id":"2109.05716","n_code_links":1,"syntology":null}],"papers_shown":1,"tasks":[{"task":"/task/entity-linking","name":"Entity Linking","papers":1},{"task":"/task/entity-retrieval","name":"Entity Retrieval","papers":1},{"task":"/task/retrieval","name":"Retrieval","papers":1}],"tasks_shown":3,"n_tasks":3,"usage_by_year":[{"year":"2021","papers":1}],"row_source":"embedded","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/muver"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}