{"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/learning-company-embeddings-from-annual","title":"Learning Company Embeddings from Annual Reports for Fine-grained Industry Characterization","arxiv_id":null,"date":"2020-01-01","proceeding":"FinNLP (COLING) 2020 1","authors":["Tomoki Ito","Jose Camacho Collados","Hiroki Sakaji","Steven Schockaert"],"abstract":"","url_abs":"https://aclanthology.org/2020.finnlp-1.5","url_pdf":"https://aclanthology.org/2020.finnlp-1.5.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":"learning-company-embeddings-from-annual","repo_url":"https://github.com/itomoki430/company2vec","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}