{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/mining-entity-synonyms-with-efficient-neural","title":"Mining Entity Synonyms with Efficient Neural Set Generation","arxiv_id":"1811.07032","date":"2018-11-16","proceeding":null,"authors":["Jiaming Shen","Ruiliang Lyu","Xiang Ren","Michelle Vanni","Brian Sadler","Jiawei Han"],"abstract":"Mining entity synonym sets (i.e., sets of terms referring to the same entity)\nis an important task for many entity-leveraging applications. Previous work\neither rank terms based on their similarity to a given query term, or treats\nthe problem as a two-phase task (i.e., detecting synonymy pairs, followed by\norganizing these pairs into synonym sets). However, these approaches fail to\nmodel the holistic semantics of a set and suffer from the error propagation\nissue. Here we propose a new framework, named SynSetMine, that efficiently\ngenerates entity synonym sets from a given vocabulary, using example sets from\nexternal knowledge bases as distant supervision. SynSetMine consists of two\nnovel modules: (1) a set-instance classifier that jointly learns how to\nrepresent a permutation invariant synonym set and whether to include a new\ninstance (i.e., a term) into the set, and (2) a set generation algorithm that\nenumerates the vocabulary only once and applies the learned set-instance\nclassifier to detect all entity synonym sets in it. Experiments on three real\ndatasets from different domains demonstrate both effectiveness and efficiency\nof SynSetMine for mining entity synonym sets.","url_abs":"http://arxiv.org/abs/1811.07032v1","url_pdf":"http://arxiv.org/pdf/1811.07032v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"mining-entity-synonyms-with-efficient-neural","repo_url":"https://github.com/mickeystroller/SynSetMine-pytorch","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1811.07032","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}