{"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/natural-language-inference-by-tree-based","title":"Natural Language Inference by Tree-Based Convolution and Heuristic Matching","arxiv_id":"1512.08422","date":"2015-12-28","proceeding":"ACL 2016 8","authors":["Lili Mou","Rui Men","Ge Li","Yan Xu","Lu Zhang","Rui Yan","Zhi Jin"],"abstract":"In this paper, we propose the TBCNN-pair model to recognize entailment and\ncontradiction between two sentences. In our model, a tree-based convolutional\nneural network (TBCNN) captures sentence-level semantics; then heuristic\nmatching layers like concatenation, element-wise product/difference combine the\ninformation in individual sentences. Experimental results show that our model\noutperforms existing sentence encoding-based approaches by a large margin.","url_abs":"http://arxiv.org/abs/1512.08422v3","url_pdf":"http://arxiv.org/pdf/1512.08422v3.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":[],"tasks":[{"task_slug":"natural-language-inference","task_name":"Natural Language Inference"},{"task_slug":"sentence","task_name":"Sentence"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/natural-language-inference-on-snli","task":"Natural Language Inference","dataset":"SNLI","model":"300D Tree-based CNN encoders","rank_in_archive_order":87,"of":98,"metrics":{"% Test Accuracy":"82.1","% Train Accuracy":"83.3","Parameters":"3.5m"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1512.08422","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}