{"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/evaluating-word-embeddings-in-multi-label","title":"Evaluating Word Embeddings in Multi-label Classification Using Fine-grained Name Typing","arxiv_id":"1807.07186","date":"2018-07-18","proceeding":"WS 2018 7","authors":["Yadollah Yaghoobzadeh","Katharina Kann","Hinrich Schütze"],"abstract":"Embedding models typically associate each word with a single real-valued\nvector, representing its different properties. Evaluation methods, therefore,\nneed to analyze the accuracy and completeness of these properties in\nembeddings. This requires fine-grained analysis of embedding subspaces.\nMulti-label classification is an appropriate way to do so. We propose a new\nevaluation method for word embeddings based on multi-label classification given\na word embedding. The task we use is fine-grained name typing: given a large\ncorpus, find all types that a name can refer to based on the name embedding.\nGiven the scale of entities in knowledge bases, we can build datasets for this\ntask that are complementary to the current embedding evaluation datasets in:\nthey are very large, contain fine-grained classes, and allow the direct\nevaluation of embeddings without confounding factors like sentence context","url_abs":"http://arxiv.org/abs/1807.07186v1","url_pdf":"http://arxiv.org/pdf/1807.07186v1.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":"evaluating-word-embeddings-in-multi-label","repo_url":"https://github.com/yyaghoobzadeh/name_typing","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"multi-label-classification-2","task_name":"MUlTI-LABEL-ClASSIFICATION"},{"task_slug":"multi-label-classification","task_name":"Multi-Label Classification"},{"task_slug":"sentence","task_name":"Sentence"},{"task_slug":"word-embeddings","task_name":"Word Embeddings"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}