Complex temporal question answering on knowledge graphs
Question answering over knowledge graphs (KG-QA) is a vital topic in IR. Questions with
temporal intent are a special class of practical importance, but have not received much …
temporal intent are a special class of practical importance, but have not received much …
A survey on question answering technology from an information retrieval perspective
O Kolomiyets, MF Moens - Information Sciences, 2011 - Elsevier
This article provides a comprehensive and comparative overview of question answering
technology. It presents the question answering task from an information retrieval perspective …
technology. It presents the question answering task from an information retrieval perspective …
English teaching practice based on artificial intelligence technology
Y Bin, D Mandal - Journal of Intelligent & Fuzzy Systems, 2019 - content.iospress.com
The automatic scoring of English composition is an inevitable trend of the rapid development
of computer technology and artificial intelligence technology. This makes the research on …
of computer technology and artificial intelligence technology. This makes the research on …
From symbolic to sub-symbolic information in question classification
Question Answering (QA) is undoubtedly a growing field of current research in Artificial
Intelligence. Question classification, a QA subtask, aims to associate a category to each …
Intelligence. Question classification, a QA subtask, aims to associate a category to each …
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 …
Event-QA: A dataset for event-centric question answering over knowledge graphs
Semantic Question Answering (QA) is a crucial technology to facilitate intuitive user access
to semantic information stored in knowledge graphs. Whereas most of the existing QA …
to semantic information stored in knowledge graphs. Whereas most of the existing QA …
Comqa: A community-sourced dataset for complex factoid question answering with paraphrase clusters
To bridge the gap between the capabilities of the state-of-the-art in factoid question
answering (QA) and what users ask, we need large datasets of real user questions that …
answering (QA) and what users ask, we need large datasets of real user questions that …
[图书][B] Interpreting motion: Grounded representations for spatial language
I Mani, J Pustejovsky - 2012 - books.google.com
Interpreting Motion presents an integrated perspective on how language structures constrain
concepts of motion and how the world shapes the way motion is linguistically expressed …
concepts of motion and how the world shapes the way motion is linguistically expressed …
ComQA: Question answering over knowledge base via semantic matching
Question answering over knowledge base (KBQA) is a powerful tool to extract answers from
graph-like knowledge bases. Here, we present ComQA-a three-phase KBQA framework by …
graph-like knowledge bases. Here, we present ComQA-a three-phase KBQA framework by …
[PDF][PDF] TIMEN: An Open Temporal Expression Normalisation Resource.
Temporal expressions are words or phrases that describe a point, duration or recurrence in
time. Automatically annotating these expressions is a research goal of increasing interest …
time. Automatically annotating these expressions is a research goal of increasing interest …