Simple questions are the most common type of questions used for evaluating a knowledge graph question answering (KGQA). A simple question is a question whose answer can be captured by a factoid statement with one relation or predicate. Knowledge graph question answering (KGQA) systems are systems whose aim is to automatically answer natural language questions (NLQs) over knowledge graphs (KGs). There are varieties of researches with different approaches in this area. However, the lack of a comprehensive study to focus on addressing simple questions from all aspects is tangible. In this paper, we present a comprehensive survey of answering simple questions to classify available techniques and compare their advantages and drawbacks in order t...
Question answering over knowledge graphs targets to leverage facts in knowledge graphs to answer nat...
Question Answering (QA) over Knowledge Graphs (KG) aims to develop a system that is capable of answe...
In this paper we propose the task of list verbalisation within a Knowledge Graph Question Answering ...
Existing approaches on Question Answering over Knowledge Graphs (KGQA) have weak generalizability. T...
International audienceThis research work presents a new augmentation model for knowledge graphs (KGs...
A promising pathway for natural language question answering over knowledge graphs (KG-QA) is to tran...
A promising pathway for natural language question answering over knowledge graphs (KG-QA) is to tran...
Question Answering (QA) over Knowledge Graphs (KG) has the aim of developing a system that is capabl...
Due to the rapid growth of knowledge graphs (KG) as representational learning methods in recent year...
Knowledge graph question answering (KGQA) facilitates information access by leveraging structured da...
Question Answering (QA) systems over Knowledge Graphs (KGs) (KGQA) automatically answer natural lang...
Question Answering (QA) systems over Knowledge Graphs (KGs) (KGQA) automatically answer natural lang...
Question answering over knowledge graphs (KGQA) has evolved from simple single-fact questions to com...
Question Answering based on Knowledge Graphs (KGQA) still faces difficult challenges when transformi...
With a huge amount of information being stored as structured data, there is an increasing need for r...
Question answering over knowledge graphs targets to leverage facts in knowledge graphs to answer nat...
Question Answering (QA) over Knowledge Graphs (KG) aims to develop a system that is capable of answe...
In this paper we propose the task of list verbalisation within a Knowledge Graph Question Answering ...
Existing approaches on Question Answering over Knowledge Graphs (KGQA) have weak generalizability. T...
International audienceThis research work presents a new augmentation model for knowledge graphs (KGs...
A promising pathway for natural language question answering over knowledge graphs (KG-QA) is to tran...
A promising pathway for natural language question answering over knowledge graphs (KG-QA) is to tran...
Question Answering (QA) over Knowledge Graphs (KG) has the aim of developing a system that is capabl...
Due to the rapid growth of knowledge graphs (KG) as representational learning methods in recent year...
Knowledge graph question answering (KGQA) facilitates information access by leveraging structured da...
Question Answering (QA) systems over Knowledge Graphs (KGs) (KGQA) automatically answer natural lang...
Question Answering (QA) systems over Knowledge Graphs (KGs) (KGQA) automatically answer natural lang...
Question answering over knowledge graphs (KGQA) has evolved from simple single-fact questions to com...
Question Answering based on Knowledge Graphs (KGQA) still faces difficult challenges when transformi...
With a huge amount of information being stored as structured data, there is an increasing need for r...
Question answering over knowledge graphs targets to leverage facts in knowledge graphs to answer nat...
Question Answering (QA) over Knowledge Graphs (KG) aims to develop a system that is capable of answe...
In this paper we propose the task of list verbalisation within a Knowledge Graph Question Answering ...