{"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/gu-irlab-at-semeval-2018-task-7-tree-lstms","title":"GU IRLAB at SemEval-2018 Task 7: Tree-LSTMs for Scientific Relation Classification","arxiv_id":"1804.05408","date":"2018-04-15","proceeding":"SEMEVAL 2018 6","authors":["Sean MacAvaney","Luca Soldaini","Arman Cohan","Nazli Goharian"],"abstract":"SemEval 2018 Task 7 focuses on relation ex- traction and classification in\nscientific literature. In this work, we present our tree-based LSTM network for\nthis shared task. Our approach placed 9th (of 28) for subtask 1.1 (relation\nclassification), and 5th (of 20) for subtask 1.2 (relation classification with\nnoisy entities). We also provide an ablation study of features included as\ninput to the network.","url_abs":"http://arxiv.org/abs/1804.05408v1","url_pdf":"http://arxiv.org/pdf/1804.05408v1.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":"gu-irlab-at-semeval-2018-task-7-tree-lstms","repo_url":"https://github.com/Georgetown-IR-Lab/semeval2018-task7","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"mxnet","reach":null}],"tasks":[{"task_slug":"classification-1","task_name":"Classification"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":null,"task_name":"Relation"},{"task_slug":"relation-classification","task_name":"Relation Classification"}],"methods":[{"method_slug":"lstm","method_name":"LSTM"},{"method_slug":"sigmoid-activation","method_name":"Sigmoid Activation"},{"method_slug":"tanh-activation","method_name":"Tanh Activation"}],"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}