论文信息 - NLP Questions Answering Using DBpedia and YAGO - 字舞流文

NLP Questions Answering Using DBpedia and YAGO

In this paper, we present results of employing DBpedia and YAGO as lexical databases for answering questions formulated in the natural language. The proposed solution has been evaluated for answeri...

Julian Szymański | Tomasz Boiński | Szymon Dompke | Maria Czarnecka | Bartłomiej Dudek | Paweł Zalewski

[1] Julian Szymanski,et al. Words Context Analysis for Improvement of Information Retrieval , 2012, ICCCI.

[2] Jens Lehmann,et al. DBpedia: A Nucleus for a Web of Open Data , 2007, ISWC/ASWC.

[3] Mimoun Malki,et al. Question Answering Systems: Survey and Trends☆ , 2015 .

[4] Julian Szymanski,et al. Self-Organizing Map Representation for Clustering Wikipedia Search Results , 2011, ACIIDS.

[5] Julian Szymanski,et al. Semantic Memory Knowledge Acquisition Through Active Dialogues , 2007, 2007 International Joint Conference on Neural Networks.

[6] Okba Tibermacine,et al. DB PEDIA BASED FACTOID QUESTION ANSWERING SYSTEM , 2013 .

[7] Julian Szymanski,et al. MERPSYS: An environment for simulation of parallel application execution on large scale HPC systems , 2017, Simul. Model. Pract. Theory.

[8] Julian Szymanski,et al. Concept Description Vectors and the 20 Question Game , 2005, Intelligent Information Systems.

[9] Erik T. Mueller,et al. Watson: Beyond Jeopardy! , 2013, Artif. Intell..

[10] Robert F. Simmons,et al. Computational Linguistics Natural Language Question- Answering Systems: 1969 , 2022 .

[11] Julian Szymanski,et al. Information retrieval with semantic memory model , 2012, Cognitive Systems Research.