{"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/strawman-an-ensemble-of-deep-bag-of-ngrams","title":"Strawman: an Ensemble of Deep Bag-of-Ngrams for Sentiment Analysis","arxiv_id":"1707.08939","date":"2017-07-26","proceeding":"WS 2017 9","authors":["Kyunghyun Cho"],"abstract":"This paper describes a builder entry, named \"strawman\", to the sentence-level\nsentiment analysis task of the \"Build It, Break It\" shared task of the First\nWorkshop on Building Linguistically Generalizable NLP Systems. The goal of a\nbuilder is to provide an automated sentiment analyzer that would serve as a\ntarget for breakers whose goal is to find pairs of minimally-differing\nsentences that break the analyzer.","url_abs":"http://arxiv.org/abs/1707.08939v1","url_pdf":"http://arxiv.org/pdf/1707.08939v1.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":"strawman-an-ensemble-of-deep-bag-of-ngrams","repo_url":"https://github.com/kyunghyuncho/strawman","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"sentence","task_name":"Sentence"},{"task_slug":"sentiment-analysis","task_name":"Sentiment Analysis"}],"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}