{"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/from-incremental-meaning-to-semantic-unit","title":"From Incremental Meaning to Semantic Unit (phrase by phrase)","arxiv_id":"1604.04873","date":"2016-04-17","proceeding":null,"authors":["Andreas Scherbakov","Ekaterina Vylomova","Fei Liu","Timothy Baldwin"],"abstract":"This paper describes an experimental approach to Detection of Minimal\nSemantic Units and their Meaning (DiMSUM), explored within the framework of\nSemEval 2016 Task 10. The approach is primarily based on a combination of word\nembeddings and parserbased features, and employs unidirectional incremental\ncomputation of compositional embeddings for multiword expressions.","url_abs":"http://arxiv.org/abs/1604.04873v1","url_pdf":"http://arxiv.org/pdf/1604.04873v1.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":"from-incremental-meaning-to-semantic-unit","repo_url":"https://github.com/andreas-softwareengineer-pro/dimsum-semeval2016","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"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}