{"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/aueb-at-bioasq-6-document-and-snippet","title":"AUEB at BioASQ 6: Document and Snippet Retrieval","arxiv_id":"1809.06366","date":"2018-09-15","proceeding":"WS 2018 11","authors":["Georgios-Ioannis Brokos","Polyvios Liosis","Ryan Mcdonald","Dimitris Pappas","Ion Androutsopoulos"],"abstract":"We present AUEB's submissions to the BioASQ 6 document and snippet retrieval\ntasks (parts of Task 6b, Phase A). Our models use novel extensions to deep\nlearning architectures that operate solely over the text of the query and\ncandidate document/snippets. Our systems scored at the top or near the top for\nall batches of the challenge, highlighting the effectiveness of deep learning\nfor these tasks.","url_abs":"http://arxiv.org/abs/1809.06366v1","url_pdf":"http://arxiv.org/pdf/1809.06366v1.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":"aueb-at-bioasq-6-document-and-snippet","repo_url":"https://github.com/nlpaueb/aueb-bioasq6","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"deep-learning","task_name":"Deep Learning"},{"task_slug":"retrieval","task_name":"Retrieval"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1809.06366","atlas_url":"https://app.syntology.ai/?focus=1809.06366","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}