{"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/kelp-at-semeval-2016-task-3-learning-semantic","title":"KeLP at SemEval-2016 Task 3: Learning Semantic Relations between Questions and Answers","arxiv_id":null,"date":"2016-06-01","proceeding":"SEMEVAL 2016 6","authors":["Simone Filice","Danilo Croce","Aless Moschitti","ro","Roberto Basili"],"abstract":"","url_abs":"https://aclanthology.org/S16-1172","url_pdf":"https://aclanthology.org/S16-1172.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":"community-question-answering","task_name":"Community Question Answering"},{"task_slug":"question-answering","task_name":"Question Answering"},{"task_slug":"word-embeddings","task_name":"Word Embeddings"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/question-answering-on-semevalcqa","task":"Question Answering","dataset":"SemEvalCQA","model":"Kelp","rank_in_archive_order":5,"of":5,"metrics":{"MAP":" 0.792","P@1":"0.751"},"uses_additional_data":false}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}