Automatic Answering Method Considering Word Order for Slot Filling Questions of University Entrance Examinations
| Autor: | Tasuku Kimura, Hisashi Miyamori, Ryo Tagami |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
business.industry
Computer science 02 engineering and technology computer.software_genre Distributed representation Consistency (database systems) 0202 electrical engineering electronic engineering information engineering Question answering 020201 artificial intelligence & image processing Artificial intelligence business Baseline (configuration management) computer Sentence Natural language processing Word (computer architecture) Word order |
| Zdroj: | Digital Libraries: Data, Information, and Knowledge for Digital Lives ISBN: 9783319702315 ICADL |
| Popis: | Recently, automatic answering technologies such as question answering have attracted attention as a technology to satisfy various information requests from users. In this paper, we propose an automatic answering method considering word order for the slot filling questions in the university entrance examination world history problems. In particular, when in analyzing the question sentence, the answer category is estimated from the surrounding words of the filling slot and used for extracting the answer candidates. Also, these candidates are evaluated by introducing the indicator using the consistency with the category and the occurrence situation of the surrounding words. In the experiment, we first compare the accuracy of the word prediction models. Then, we compare the proposed method with the baseline method and clarify what kind of change is observed in the correct answer rate. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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