{"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/seven-augmenting-word-embeddings-with","title":"SeVeN: Augmenting Word Embeddings with Unsupervised Relation Vectors","arxiv_id":"1808.06068","date":"2018-08-18","proceeding":"COLING 2018 8","authors":["Luis Espinosa-Anke","Steven Schockaert"],"abstract":"We present SeVeN (Semantic Vector Networks), a hybrid resource that encodes\nrelationships between words in the form of a graph. Different from traditional\nsemantic networks, these relations are represented as vectors in a continuous\nvector space. We propose a simple pipeline for learning such relation vectors,\nwhich is based on word vector averaging in combination with an ad hoc\nautoencoder. We show that by explicitly encoding relational information in a\ndedicated vector space we can capture aspects of word meaning that are\ncomplementary to what is captured by word embeddings. For example, by examining\nclusters of relation vectors, we observe that relational similarities can be\nidentified at a more abstract level than with traditional word vector\ndifferences. Finally, we test the effectiveness of semantic vector networks in\ntwo tasks: measuring word similarity and neural text categorization. SeVeN is\navailable at bitbucket.org/luisespinosa/seven.","url_abs":"http://arxiv.org/abs/1808.06068v1","url_pdf":"http://arxiv.org/pdf/1808.06068v1.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":"seven-augmenting-word-embeddings-with","repo_url":"https://bitbucket.org/luisespinosa/seven","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":null,"task_name":"Relation"},{"task_slug":"text-categorization","task_name":"Text Categorization"},{"task_slug":"word-embeddings","task_name":"Word Embeddings"},{"task_slug":"word-similarity","task_name":"Word Similarity"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1808.06068","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}