An Answer Validation Concept Based Approach for Question Answering in Biomedical Domain
| Autor: | Wen-Juan Hou, Bing-Han Tsai |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Information retrieval
business.industry Computer science media_common.quotation_subject computer.software_genre Clef Task (project management) Domain (software engineering) Query expansion Reading (process) Question answering Artificial intelligence Baseline (configuration management) business computer Machine reading Natural language processing media_common |
| Zdroj: | Modern Advances in Applied Intelligence ISBN: 9783319074542 IEA/AIE (1) |
| DOI: | 10.1007/978-3-319-07455-9_16 |
| Popis: | With the continuously growing literatures in the biomedical domain, it is not feasible for researchers to manually go through all information for answering questions. The task of making knowledge contained in texts in forms that machines can use for automated processing is more and more important. This paper describes a system to answer multiple-choice questions for the biomedical domain while reading a given document. In this study, we use the data from the pilot task "machine reading of biomedical texts about Alzheimer's disease" which is a task of the Question Answering for Machine Reading Evaluation QA4MRE Lab at CLEF 2012. We adapt the concept of answer validation that assumes the over-generation hypotheses will be checked in the validation step. In the following, the query expansion technique "global analysis" is applied. The best result is 0.51 c@1 score which is clearly above the baseline at CLEF 2012 and shows an exhilarating performance. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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