{"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/learning-to-rank-query-graphs-for-complex","title":"Learning to Rank Query Graphs for Complex Question Answering over Knowledge Graphs","arxiv_id":"1811.01118","date":"2018-11-02","proceeding":null,"authors":["Gaurav Maheshwari","Priyansh Trivedi","Denis Lukovnikov","Nilesh Chakraborty","Asja Fischer","Jens Lehmann"],"abstract":"In this paper, we conduct an empirical investigation of neural query graph\nranking approaches for the task of complex question answering over knowledge\ngraphs. We experiment with six different ranking models and propose a novel\nself-attention based slot matching model which exploits the inherent structure\nof query graphs, our logical form of choice. Our proposed model generally\noutperforms the other models on two QA datasets over the DBpedia knowledge\ngraph, evaluated in different settings. In addition, we show that transfer\nlearning from the larger of those QA datasets to the smaller dataset yields\nsubstantial improvements, effectively offsetting the general lack of training\ndata.","url_abs":"http://arxiv.org/abs/1811.01118v1","url_pdf":"http://arxiv.org/pdf/1811.01118v1.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":"learning-to-rank-query-graphs-for-complex","repo_url":"https://github.com/AskNowQA/KrantikariQA","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"graph-ranking","task_name":"Graph Ranking"},{"task_slug":"knowledge-graphs","task_name":"Knowledge Graphs"},{"task_slug":"learning-to-rank","task_name":"Learning-To-Rank"},{"task_slug":"question-answering","task_name":"Question Answering"},{"task_slug":"transfer-learning","task_name":"Transfer Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1811.01118","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}