Name
Title | ||
|---|---|---|
LinkedHealthAnswers: Towards Linked Data-driven Question Answering for the Health Care Domain. |
Abstract | ||
|---|---|---|
This paper presents Linked Health Answers, a natural language question answering systems that utilizes health data drawn from the Linked Data Cloud. The contributions of this paper are three-fold: Firstly, we review existing state-of-the-art NLP platforms and components, with a special focus on components that allow or support an automatic SPARQL construction. Secondly, we present the implemented architecture of the Linked Health Answers systems. Thirdly, we propose an statistical bootstrap approach for the identification and disambiguation of RDF-based predicates using a machine learning-based classifier. The evaluation focuses on predicate detection in sentence statements, as well as within the scenario of natural language questions. |
Year | Venue | Keywords |
|---|---|---|
2014 | LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION | Question Answering,Linked Data Cloud,Machine Learning |
Field | DocType | Citations |
Question answering,Information retrieval,Computer science,Linked data,SPARQL,Natural language,Artificial intelligence,Natural language processing,Predicate (grammar),Sentence,RDF,Cloud computing | Conference | 0 |
PageRank | References | Authors |
0.34 | 27 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Artem Ostankov | 1 | 0 | 0.34 |
| Florian Röhrbein | 2 | 71 | 11.78 |
| Ulli Waltinger | 3 | 64 | 10.76 |