A Study on the Historical Change of Landscape Recognition in Naruto Strait Based on Paintings

Ohira, Kazuhiro; Fujimoto, Mari; Fukumoto, Yasuhide; Akazawa, Hiroki

doi:10.5632/jila.82.457

Cited by 2 publications

(1 citation statement)

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“…Question answer system (QA) can better meet the user's retrieval need and can find out the answers the user needs faster, and is currently receiving a lot of attention [1]. QA systems generally consist of three main components: question understanding, information retrieval and answer extraction [2].…”

Section: Introductionmentioning

confidence: 99%

Interrogative Sentences Recognition Based on the GRU Multiattentive Layer Model

Liu

2022

Mathematical Problems in Engineering

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Understanding the question is the key point in the question answering system. Therefore, this paper designs a multi attention layer model, extracts some missing features from the storage module, and uses Gru unit to organize them reasonably. By using non-linear operations to combine the results of different attention layers, we can avoid extracting only the linear combination of memory modules. Effectively combine the process of problem understanding, including the classification of problem words, the vocabulary annotation of problem sentences, the identification of problem sentence patterns, the classification of problems and the identification of problem centers, the grammatical analysis of question sentences and the identification of question sentence patterns, so as to achieve problem understanding. Experimental results show that this method improves the accuracy of problem understanding.

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Section: Introductionmentioning

confidence: 99%