Graph Question Answering
40 papers with code • 1 benchmarks • 1 datasets
GQA
Most implemented papers
TempoQR: Temporal Question Reasoning over Knowledge Graphs
cmavro/tempoqr
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The first computes a textual representation of a given question, the second combines it with the entity embeddings for entities involved in the question, and the third generates question-specific time embeddings.
Would You Ask it that Way? Measuring and Improving Question Naturalness for Knowledge Graph Question Answering
The construction of this test collection also sheds light on the challenges of constructing large-scale KGQA datasets with genuinely NL questions.
SPARQL as a Foreign Language
In the last years, the Linked Data Cloud has achieved a size of more than 100 billion facts pertaining to a multitude of domains.
Knowledge Graph Question Answering using Graph-Pattern Isomorphism
In this paper, we present a novel QA approach, dubbed TeBaQA.
GraghVQA: Language-Guided Graph Neural Networks for Graph-based Visual Question Answering
codexxxl/GraphVQA
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NAACL (maiworkshop) 2021
Images are more than a collection of objects or attributes -- they represent a web of relationships among interconnected objects.
NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset
don-joey/noahqa
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Findings (EMNLP) 2021
While diverse question answering (QA) datasets have been proposed and contributed significantly to the development of deep learning models for QA tasks, the existing datasets fall short in two aspects.
Improving Embedded Knowledge Graph Multi-hop Question Answering by introducing Relational Chain Reasoning
Knowledge Graph Question Answering (KGQA) aims to answer user-questions from a knowledge graph (KG) by identifying the reasoning relations between topic entity and answer.
Knowledge Graph Question Answering Leaderboard: A Community Resource to Prevent a Replication Crisis
In particular, the latest and most-used datasets in the KGQA community, LC-QuAD and QALD, miss providing central and up-to-date points of trust.
QALD-9-plus: A Multilingual Dataset for Question Answering over DBpedia and Wikidata Translated by Native Speakers
The ability to have the same experience for different user groups (i. e., accessibility) is one of the most important characteristics of Web-based systems.
Knowledge Graph Question Answering Datasets and Their Generalizability: Are They Enough for Future Research?
Existing approaches on Question Answering over Knowledge Graphs (KGQA) have weak generalizability.
