{"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/categorization-of-comparative-sentences-for","title":"Categorizing Comparative Sentences","arxiv_id":"1809.06152","date":"2018-09-17","proceeding":"WS 2019 8","authors":["Alexander Panchenko","Alexander Bondarenko","Mirco Franzek","Matthias Hagen","Chris Biemann"],"abstract":"We tackle the tasks of automatically identifying comparative sentences and categorizing the intended preference (e.g., \"Python has better NLP libraries than MATLAB\" => (Python, better, MATLAB). To this end, we manually annotate 7,199 sentences for 217 distinct target item pairs from several domains (27% of the sentences contain an oriented comparison in the sense of \"better\" or \"worse\"). A gradient boosting model based on pre-trained sentence embeddings reaches an F1 score of 85% in our experimental evaluation. The model can be used to extract comparative sentences for pro/con argumentation in comparative / argument search engines or debating technologies.","url_abs":"https://arxiv.org/abs/1809.06152v2","url_pdf":"https://arxiv.org/pdf/1809.06152v2.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":"categorization-of-comparative-sentences-for","repo_url":"https://github.com/uhh-lt/comparative","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"categorization-of-comparative-sentences-for","repo_url":"https://github.com/ablx/comparative-arguments-thesis","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"categorization-of-comparative-sentences-for","repo_url":"https://github.com/zyli93/saecon","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"argument-mining","task_name":"Argument Mining"},{"task_slug":"sentence","task_name":"Sentence"},{"task_slug":"sentence-embeddings","task_name":"Sentence Embeddings"}],"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}