scholarly journals Closure of the Best and Efficient Searching, Matching and Sorting Algorithms in Descriptive Question Answering System

2019 ◽  
Vol 9 (2) ◽  
pp. 1483-1487
Keyword(s):  
Question Answering ◽  
Semantic Analysis ◽  
Question Answering System ◽  
Question Analysis ◽  
Sorting Algorithms

The first phase of the question answering process is the detailed process of the question analysis. Thus it analyzes what kind of question and how it can be answered. Question analysis uses the parsing and semantic analysis of the dataset. Thus this journal gives the entire impact on how an answer is perfectly retrieved and prioritised

scholarly journals Question Analysis towards a Vietnamese Question Answering System in the Education Domain

2020 ◽  
Vol 20 (1) ◽  
pp. 112-128
Author(s):  
Ngo Xuan Bach ◽  
Phan Duc Thanh ◽  
Tran Thi Oanh
Keyword(s):  
Deep Neural Networks ◽  
Question Answering ◽  
International School ◽  
Human Language ◽  
Named Entities ◽  
Question Answering System ◽  
Crucial Step ◽  
Question Analysis ◽  
National University ◽  
Learned Features

AbstractBuilding a computer system, which can automatically answer questions in the human language, speech or text, is a long-standing goal of the Artificial Intelligence (AI) field. Question analysis, the task of extracting important information from the input question, is the first and crucial step towards a question answering system. In this paper, we focus on the task of Vietnamese question analysis in the education domain. Our goal is to extract important information expressed by named entities in an input question, such as university names, campus names, major names, and teacher names. We present several extraction models that utilize the advantages of both traditional statistical methods with handcrafted features and more recent advanced deep neural networks with automatically learned features. Our best model achieves 88.11% in the F1 score on a corpus consisting of 3,600 Vietnamese questions collected from the fan page of the International School, Vietnam National University, Hanoi.

scholarly journals Question Analysis for a Closed Domain Question Answering System

2015 ◽  
pp. 468-482 ◽  
Author(s):  
Caner Derici ◽  
Kerem Çelik ◽  
Ekrem Kutbay ◽  
Yiğit Aydın ◽  
Tunga Güngör ◽  
...  
Keyword(s):  
Question Answering ◽  
Closed Domain ◽  
Question Answering System ◽  
Question Analysis

Liana

1975 ◽  
Vol 30 ◽  
pp. 1-24
Author(s):  
I. Batoni ◽  
R. Henning ◽  
H. Lehmann ◽  
B. Schirmer ◽  
M. Zoeppritz
Keyword(s):  
Natural Language ◽  
Question Answering ◽  
Semantic Analysis ◽  
Tree Structure ◽  
Semantic Interpretation ◽  
Syntactic Analysis ◽  
Question Answering System ◽  
Continuous Text ◽  
Language Input

Abstract LIANA is a question answering system in PL/1. The program takes German natural language input and, by morphological, syntactic and semantic analysis, creates a representation of the text, which is stored and can be accessed for retrieval purposes. All individuals (objects) mentioned in the sentence are found and stored. In continuous text, therefore, information about individuals can be piled up successively. LIANA uses the programming concept of the Boston Syntax Analyzer. Therefore, the output of syntactic analysis is a tree structure, simulated through pointers which connect the nodes in the tree. Each node is associated with a feature table which is operated on by the semantic interpretation. Node and feature handling is facilitated by a set of macros for adding, erasing, and checking features and copying, deleting, and inserting nodes.

Semantics question analysis model for question answering system

2015 ◽  
Vol 9 ◽  
pp. 6491-6505
Author(s):  
Syarilla I. Ahmad Saany ◽  
Ali Mamat ◽  
Aida Mustapha ◽  
Lilly S. Affendey ◽  
M. Nordin A. Rahman
Keyword(s):  
Question Answering ◽  
Analysis Model ◽  
Question Answering System ◽  
Question Analysis
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