{"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-semantically-and-additively","title":"Learning Semantically and Additively Compositional Distributional Representations","arxiv_id":"1606.02461","date":"2016-06-08","proceeding":"ACL 2016 8","authors":["Ran Tian","Naoaki Okazaki","Kentaro Inui"],"abstract":"This paper connects a vector-based composition model to a formal semantics,\nthe Dependency-based Compositional Semantics (DCS). We show theoretical\nevidence that the vector compositions in our model conform to the logic of DCS.\nExperimentally, we show that vector-based composition brings a strong ability\nto calculate similar phrases as similar vectors, achieving near\nstate-of-the-art on a wide range of phrase similarity tasks and relation\nclassification; meanwhile, DCS can guide building vectors for structured\nqueries that can be directly executed. We evaluate this utility on sentence\ncompletion task and report a new state-of-the-art.","url_abs":"http://arxiv.org/abs/1606.02461v1","url_pdf":"http://arxiv.org/pdf/1606.02461v1.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-semantically-and-additively","repo_url":"https://github.com/tianran/vecdcs","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"relation-classification","task_name":"Relation Classification"},{"task_slug":"sentence","task_name":"Sentence"},{"task_slug":"sentence-completion","task_name":"Sentence Completion"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1606.02461","atlas_url":"https://app.syntology.ai/?focus=1606.02461","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}