{"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/matchzoo-a-toolkit-for-deep-text-matching","title":"MatchZoo: A Toolkit for Deep Text Matching","arxiv_id":"1707.07270","date":"2017-07-23","proceeding":null,"authors":["Yixing Fan","Liang Pang","Jianpeng Hou","Jiafeng Guo","Yanyan Lan","Xue-Qi Cheng"],"abstract":"In recent years, deep neural models have been widely adopted for text\nmatching tasks, such as question answering and information retrieval, showing\nimproved performance as compared with previous methods. In this paper, we\nintroduce the MatchZoo toolkit that aims to facilitate the designing, comparing\nand sharing of deep text matching models. Specifically, the toolkit provides a\nunified data preparation module for different text matching problems, a\nflexible layer-based model construction process, and a variety of training\nobjectives and evaluation metrics. In addition, the toolkit has implemented two\nschools of representative deep text matching models, namely\nrepresentation-focused models and interaction-focused models. Finally, users\ncan easily modify existing models, create and share their own models for text\nmatching in MatchZoo.","url_abs":"http://arxiv.org/abs/1707.07270v1","url_pdf":"http://arxiv.org/pdf/1707.07270v1.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":"matchzoo-a-toolkit-for-deep-text-matching","repo_url":"https://github.com/NTMC-Community/MatchZoo","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"ad-hoc-information-retrieval","task_name":"Ad-Hoc Information Retrieval"},{"task_slug":"information-retrieval","task_name":"Information Retrieval"},{"task_slug":"question-answering","task_name":"Question Answering"},{"task_slug":"retrieval","task_name":"Retrieval"},{"task_slug":"text-matching","task_name":"Text Matching"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}