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A Guided Template-Based Question Answering System over Knowledge Graphs
2018
International Conference Knowledge Engineering and Knowledge Management
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For this, a template-based approach is used to generate all possible questions from a given RDF dataset using a number of templates. ...
To remedy this, we present a new guided approach to QA that ensures that all questions that can be entered into the system also return a corresponding answer. ...
This is accomplished by a template-based approach that matches basic graph patterns over the data and, using a lexicon, generates different variants of asking the same question. ...
dblp:conf/ekaw/BiermannWC18
fatcat:7fmtykwh65hfplz2ydxjvrq6wm
Question Answering over Knowledge Graphs
2021
International Web Rule Symposium
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A knowledge graph-based question answering system targets to leverage facts in knowledge graphs to answer natural language questions and assist users to access the meaningful and pertinent knowledge, without ...
With the increasing maturity of large-scale knowledge graphs, question answering over knowledge graphs has become a crucial topic and attracted massive attention. ...
QA over knowledge graph provides a way for artificial intelligence systems to incorporate knowledge graphs as a key ingredient to answer human questions, which can benefit a variety of applications, such ...
dblp:conf/ruleml/Dinani21
fatcat:nxuowfovifa4lbys33ynf57mty
Systematic review of question answering over knowledge bases
2021
IET Software
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Because question answering over knowledge bases (KBQAs) is a very active research topic, a comprehensive view of the field is essential. ...
Several proposals to overcome this difficulty have suggested using question answering (QA) systems to provide user-friendly interfaces and allow natural language use. ...
Fundação para a Ciência e a Tecnologia. Grant Number: PD/BD/142877/2018. ...
doi:10.1049/sfw2.12028
fatcat:uuhsewdvsnal5hwua3lecfexqi
Question Answering over Knowledge Graphs with Neural Machine Translation and Entity Linking
[article]
2021
arXiv
pre-print
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The goal of Question Answering over Knowledge Graphs (KGQA) is to find answers for natural language questions over a knowledge graph. ...
We rather propose a KGQA approach that delegates the processing of entities to entity linking (EL) systems. ...
A number of works have specifically addressed the task of Question Answering over Knowledge Graphs (KGQA) down through the years. ...
arXiv:2107.02865v1
fatcat:dlnrcpihhbacjcmvkoe6lk7fsi
Knowledge-Based Legal Document Assembly
[article]
2020
arXiv
pre-print
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This knowledgebase has two components - the formal knowledge of legal norms represented as a rule-base and the tacit knowledge represented by a document template. ...
This paper proposes a knowledge-based legal document assembly method that uses a machine-readable representation of knowledge of legal professionals. ...
It uses configuration created in the previous phase to guide a user through a question answering process. A user is asked a series of questions. ...
arXiv:2009.06611v1
fatcat:voqdgqqle5ettd2sr3ldlpvhbi
Complex Knowledge Base Question Answering: A Survey
[article]
2022
arXiv
pre-print
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Knowledge base question answering (KBQA) aims to answer a question over a knowledge base (KB). Early studies mainly focused on answering simple questions over KBs and achieved great success. ...
Therefore, in recent years, researchers propose a large number of novel methods, which looked into the challenges of answering complex questions. ...
Among them, knowledge base question answering (KBQA) is a task that aims to answer natural language questions with KBs acting as its knowledge source. ...
arXiv:2108.06688v2
fatcat:frcdrrhbsncm3kprehnz563yfq
Question Answering over Knowledge Graphs via Structural Query Patterns
[article]
2019
arXiv
pre-print
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Searching the structured query over the knowledge graph can produce answers to the question. ...
Finally, answers can be retrieved by executing the constructed query graph over the knowledge graph. ...
In this paper, we focus on constructing query graphs for answering natural language questions over a knowledge graph. ...
arXiv:1910.09760v2
fatcat:oghjct4335grvnyuhhk4tovdxy
Question Answering System over Linked Data: A Detailed Survey
2020
ABC Research Alert
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Here we will discuss the main obstacles for the QA system in processing the questions and a detailed survey of the existing systems. ...
to our various questions. ...
lot to finish our literature review based research work. ...
doi:10.18034/abcra.v8i1.449
fatcat:whgbzdj5vrfktfwci5akwamh2e
A State-transition Framework to Answer Complex Questions over Knowledge Base
2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
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Although natural language question answering over knowledge graphs have been studied in the literature, existing methods have some limitations in answering complex questions. ...
knowledge graph to find the answers to question N . ...
by matching Q S over the knowledge graph G. ...
doi:10.18653/v1/d18-1234
dblp:conf/emnlp/Hu0Z18
fatcat:5o627rceufaejlcymchuu7mqwe
Automated Template Generation for Question Answering over Knowledge Graphs
2017
Proceedings of the 26th International Conference on World Wide Web - WWW '17
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Templates are an important asset for question answering over knowledge graphs, simplifying the semantic parsing of input utterances and generating structured queries for interpretable answers. ...
This paper presents QUINT, a system that automatically learns utterance-query templates solely from user questions paired with their answers. ...
Templates Figure 2 outlines our system for learning and subsequently using templates to answer natural language questions over knowledge graphs. ...
doi:10.1145/3038912.3052583
dblp:conf/www/AbujabalYRW17
fatcat:tot2vlwlbbda3lcaznk2fdazaa
COOKIE: A Dataset for Conversational Recommendation over Knowledge Graphs in E-commerce
[article]
2020
arXiv
pre-print
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In this work, we present a new dataset for conversational recommendation over knowledge graphs in e-commerce platforms called COOKIE. ...
Specifically, we first construct a unified knowledge graph and extract key entities between user--product pairs, which serve as the skeleton of a conversation. ...
To this end, we present a novel corpus called COOKIE: COnversational recommendation Over Knowledge graphs In E-commerce platforms. ...
arXiv:2008.09237v1
fatcat:agnch5bxxjcebcswpy3mkbltte
A Survey on Complex Question Answering over Knowledge Base: Recent Advances and Challenges
[article]
2020
arXiv
pre-print
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Question Answering (QA) over Knowledge Base (KB) aims to automatically answer natural language questions via well-structured relation information between entities stored in knowledge bases. ...
Besides traditional methods relying on templates and rules, the research is categorized into a taxonomy that contains two main branches, namely Information Retrieval-based and Neural Semantic Parsing-based ...
Background Question Answering (QA) over Knowledge Base (KB) uses rich semantic information to deeply understand natural language questions and provide answers from knowledge bases. ...
arXiv:2007.13069v1
fatcat:os3d7isfubfjlmvstrazpw7mra
KBQA
2017
Proceedings of the VLDB Endowment
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Question answering (QA) has become a popular way for humans to access billion-scale knowledge bases. ...
In this paper, we design a new kind of question representation: templates, over a billion scale knowledge base and a million scale QA corpora. ...
CONCLUSION QA over knowledge bases now becomes an important and feasible task. In this paper, we build a question answering system KBQA over a very large open domain RDF knowledge base. ...
doi:10.14778/3055540.3055549
fatcat:mtyi3kzcxvdp7otp5jrzqedqqq
Explanation as Question Answering based on Design Knowledge
[article]
2021
arXiv
pre-print
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In this paper, we describe a question answering agent (AskJill) that uses the User Guide for an interactive learning environment (VERA) to automatically answer questions and thereby explains the domain ...
However, few humans actually read the User Guide in detail. Instead, most users seek answers to their questions on demand. ...
However, Jill Watson answered questions based on course materials such as class syllabi and schedule, by answering questions based on VERA's Users Guide, AskJill generalizes the approach. ...
arXiv:2112.09616v1
fatcat:vgcrtvol6za6zirajgntfded5e
Controllable Open-ended Question Generation with A New Question Type Ontology
[article]
2021
arXiv
pre-print
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We then propose a novel question type-aware question generation framework, augmented by a semantic graph representation, to jointly predict question focuses and produce the question. ...
A new dataset with 4,959 questions is labeled based on the new ontology. ...
Acknowledgements This research is supported in part by National Science Foundation through Grants IIS-1813341 and a CAREER award IIS-2046016. ...
arXiv:2107.00152v1
fatcat:54tyfwwrafdfphiee2m5he57xe
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