Add to ORKGQuestion-answer (QA) systems are systems that can take questions and respond to them in a natural language. In most cases, the principles of building question-answer systems are used in the development of decision support systems. The mechanism of syntagmatic patterns is used when processing open-ended questions and when extracting answers to it from semi-structured resources. This article describes the application of the mechanisms of syntagmatic patterns in the construction of various types of QA-systems and expert systems
The Question-Answering (QA) systems fall in the study area of Information Retrieval (IR) and Natural...
It is very challenging to access the knowledge expressed within (big) data sets. Question answering ...
International audienceProviding a general and efficient Question Answering system over Knowledge Bas...
This paper describes three language-motivated techniques for question answering from multiple resour...
AbstractThe need to query information content available in various formats including structured and ...
AbstractQuestion Answering (QA) Systems is an automated approach to retrieve correct responses to th...
International audience—Question answering (QA) is one of the biggest challenges for making sense out...
Abstract—Question answering (QA) is one of the biggest chal-lenges for making sense out of data. Web...
International audience—Question answering (QA) is one of the biggest challenges for making sense out...
Question answering (QA) is one of the biggest challenges for making sense out of data. The Web of Da...
A new semantic pattern is proposed in this paper, which can be used by users to post questions and a...
In this project note, we present the main features of lex-icalisation strategies deployed by humans ...
The paper gives a brief overview of the key problems of designing questionanswering systems. It offe...
The goal of Question-Answering (QA) systems is to find short and correct answers to open-domain ques...
Over the last several years, speech-based question answering (QA) has become very popular in contras...
The Question-Answering (QA) systems fall in the study area of Information Retrieval (IR) and Natural...
It is very challenging to access the knowledge expressed within (big) data sets. Question answering ...
International audienceProviding a general and efficient Question Answering system over Knowledge Bas...
This paper describes three language-motivated techniques for question answering from multiple resour...
AbstractThe need to query information content available in various formats including structured and ...
AbstractQuestion Answering (QA) Systems is an automated approach to retrieve correct responses to th...
International audience—Question answering (QA) is one of the biggest challenges for making sense out...
Abstract—Question answering (QA) is one of the biggest chal-lenges for making sense out of data. Web...
International audience—Question answering (QA) is one of the biggest challenges for making sense out...
Question answering (QA) is one of the biggest challenges for making sense out of data. The Web of Da...
A new semantic pattern is proposed in this paper, which can be used by users to post questions and a...
In this project note, we present the main features of lex-icalisation strategies deployed by humans ...
The paper gives a brief overview of the key problems of designing questionanswering systems. It offe...
The goal of Question-Answering (QA) systems is to find short and correct answers to open-domain ques...
Over the last several years, speech-based question answering (QA) has become very popular in contras...
The Question-Answering (QA) systems fall in the study area of Information Retrieval (IR) and Natural...
It is very challenging to access the knowledge expressed within (big) data sets. Question answering ...
International audienceProviding a general and efficient Question Answering system over Knowledge Bas...