{"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/cnm-an-interpretable-complex-valued-network","title":"CNM: An Interpretable Complex-valued Network for Matching","arxiv_id":"1904.05298","date":"2019-04-10","proceeding":"NAACL 2019 6","authors":["Qiuchi Li","Benyou Wang","Massimo Melucci"],"abstract":"This paper seeks to model human language by the mathematical framework of\nquantum physics. With the well-designed mathematical formulations in quantum\nphysics, this framework unifies different linguistic units in a single\ncomplex-valued vector space, e.g. words as particles in quantum states and\nsentences as mixed systems. A complex-valued network is built to implement this\nframework for semantic matching. With well-constrained complex-valued\ncomponents, the network admits interpretations to explicit physical meanings.\nThe proposed complex-valued network for matching (CNM) achieves comparable\nperformances to strong CNN and RNN baselines on two benchmarking question\nanswering (QA) datasets.","url_abs":"http://arxiv.org/abs/1904.05298v1","url_pdf":"http://arxiv.org/pdf/1904.05298v1.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":"cnm-an-interpretable-complex-valued-network","repo_url":"https://github.com/wabyking/qnn","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"benchmarking","task_name":"Benchmarking"},{"task_slug":"question-answering","task_name":"Question Answering"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1904.05298","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}