The state of the art in open domain complex question answering: a survey
R Etezadi, M Shamsfard - Applied Intelligence, 2023 - Springer
Research on question answering (QA) systems has a long tradition. QA systems, as widely
used systems in various applications, seek to find the answers to the given questions …
used systems in various applications, seek to find the answers to the given questions …
A deep generative framework for paraphrase generation
Paraphrase generation is an important problem in NLP, especially in question answering,
information retrieval, information extraction, conversation systems, to name a few. In this …
information retrieval, information extraction, conversation systems, to name a few. In this …
Constraint-based question answering with knowledge graph
WebQuestions and SimpleQuestions are two benchmark data-sets commonly used in recent
knowledge-based question answering (KBQA) work. Most questions in them are …
knowledge-based question answering (KBQA) work. Most questions in them are …
Automated template generation for question answering over knowledge graphs
Templates are an important asset for question answering over knowledge graphs,
simplifying the semantic parsing of input utterances and generating structured queries for …
simplifying the semantic parsing of input utterances and generating structured queries for …
Tequila: Temporal question answering over knowledge bases
Question answering over knowledge bases (KB-QA) poses challenges in handling complex
questions that need to be decomposed into sub-questions. An important case, addressed …
questions that need to be decomposed into sub-questions. An important case, addressed …
Worldtree: A corpus of explanation graphs for elementary science questions supporting multi-hop inference
PA Jansen, E Wainwright, S Marmorstein… - ar** methods of automated inference that are able to provide users with compelling
human-readable justifications for why the answer to a question is correct is critical for …
human-readable justifications for why the answer to a question is correct is critical for …
Learning to answer complex questions over knowledge bases with query composition
Recent years have seen a surge of knowledge-based question answering (KB-QA) systems
which provide crisp answers to user-issued questions by translating them to precise …
which provide crisp answers to user-issued questions by translating them to precise …
Answering complex questions using open information extraction
While there has been substantial progress in factoid question-answering (QA), answering
complex questions remains challenging, typically requiring both a large body of knowledge …
complex questions remains challenging, typically requiring both a large body of knowledge …
Survey of Open-Domain Knowledge Graph Question Answering.
C Zirui, W **n, W Lin, XU Dawei… - Journal of Frontiers of …, 2021 - search.ebscohost.com
Abstract Knowledge graph question answering (KGQA) is the procedure of processing
natural language questions posed by users to obtain relevant answers from knowledge …
natural language questions posed by users to obtain relevant answers from knowledge …
[HTML][HTML] UNIQORN: unified question answering over RDF knowledge graphs and natural language text
Question answering over RDF data like knowledge graphs has been greatly advanced, with
a number of good systems providing crisp answers for natural language questions or …
a number of good systems providing crisp answers for natural language questions or …