Instance-Based Generation for Interactive Restricted Domain Question Answering Systems

2005 ◽  
pp. 486-497
Author(s):  
Matthias Denecke ◽  
Hajime Tsukada
Keyword(s):  
Question Answering ◽  
Restricted Domain ◽  
Question Answering Systems

Searching Health Information in Question-Answering Systems

2013 ◽  
pp. 474-490 ◽  
Author(s):  
María-Dolores Olvera-Lobo ◽  
Juncal Gutiérrez-Artacho
Keyword(s):  
Information Retrieval ◽  
Health Information ◽  
Question Answering ◽  
Medical Information ◽  
Restricted Domain ◽  
Retrieval Systems ◽  
Question Answering Systems ◽  
Information Retrieval Systems

Question-Answering Systems (QA Systems) can be viewed as a new alternative to the more familiar Information Retrieval Systems. These systems try to offer detailed, understandable answers to factual questions, in order to retrieve a collection of documents related to a particular search (Jackson & Schilder, 2005). The authors carry out a study to evaluate the quality and efficiency of open- and restricted-domain QA systems as sources for physicians and users in general through one monolingual evaluation and another multilingual. Their objective led them to use definition-type questions in order to evaluate QA systems and determine if they are useful to retrieve medical information. In addition, they analyze and evaluate the results obtained, and identify the source or sources used by the systems and their procedure (Olvera-Lobo & Gutiérrez-Artacho, 2010, 2011).

An Efficient Semantic Analysis Technique for the Question Answering Systems

2019 ◽  
Vol 14 (22) ◽  
pp. 8289-8292
Author(s):  
Ibrahim Mahmoud Ibrahim Alturani ◽  
Mohd Pouzi Bin Hamzah
Keyword(s):  
Question Answering ◽  
Semantic Analysis ◽  
Analysis Technique ◽  
Question Answering Systems

scholarly journals Causal Perception in Question-Answering Systems

2021 ◽  
Author(s):  
Po-Ming Law ◽  
Leo Yu-Ho Lo ◽  
Alex Endert ◽  
John Stasko ◽  
Huamin Qu
Keyword(s):  
Question Answering ◽  
Causal Perception ◽  
Question Answering Systems

scholarly journals A framework for enriching Data Warehouse analysis with Question Answering systems

2014 ◽  
Vol 46 (1) ◽  
pp. 61-82 ◽  
Author(s):  
Antonio Ferrández ◽  
Alejandro Maté ◽  
Jesús Peral ◽  
Juan Trujillo ◽  
Elisa De Gregorio ◽  
...  
Keyword(s):  
Data Warehouse ◽  
Question Answering ◽  
Question Answering Systems

scholarly journals Composing Questions through Conceptual Authoring

2007 ◽  
Vol 33 (1) ◽  
pp. 105-133 ◽  
Author(s):  
Catalina Hallett ◽  
Donia Scott ◽  
Richard Power
Keyword(s):  
Natural Language ◽  
Question Answering ◽  
Free Text ◽  
Risk Averse ◽  
Proof Of Concept ◽  
Concept System ◽  
Complex Queries ◽  
Extensive Training ◽  
Question Answering Systems ◽  
Medical Histories

This article describes a method for composing fluent and complex natural language questions, while avoiding the standard pitfalls of free text queries. The method, based on Conceptual Authoring, is targeted at question-answering systems where reliability and transparency are critical, and where users cannot be expected to undergo extensive training in question composition. This scenario is found in most corporate domains, especially in applications that are risk-averse. We present a proof-of-concept system we have developed: a question-answering interface to a large repository of medical histories in the area of cancer. We show that the method allows users to successfully and reliably compose complex queries with minimal training.

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