Beyond top-k: knowledge reasoning for multi-answer temporal questions based on revalidation framework

J Yao, C Yuan, X Li, Y Wang, Y Su - PeerJ Computer Science, 2023 - peerj.com
Answer sorting and filtering are two closely related steps for determining the answer to a
question. Answer sorting is designed to produce an ordered list of scores based on Top-k …

Joint Multi-Facts Reasoning Network for Complex Temporal Question Answering Over Knowledge Graph

R Huang, W Wei, X Qu, W Xie, X Mao… - ICASSP 2024-2024 …, 2024 - ieeexplore.ieee.org
Temporal Knowledge Graph (TKG) is an extension of regular knowledge graph by attaching
the time scope. Existing temporal knowledge graph question answering (TKGQA) models …

[HTML][HTML] TERQA: question answering over knowledge graph considering precise dependencies of temporal information on vectors

J Yao, Y Wang, X Li, C Yuan, K Cheng - Displays, 2022 - Elsevier
Time questions involve explicit and implicit constraints as well as complex time interval
interactions, making them critical criteria for measuring the effect of knowledge base …

Best of Both Worlds: Towards Improving Temporal Knowledge Base Question Answering via Targeted Fact Extraction

N Kannen, U Sharma, S Neelam… - Proceedings of the …, 2023 - aclanthology.org
Temporal question answering (QA) is a special category of complex question answering
task that requires reasoning over facts asserting time intervals of events. Previous works …

Semantic-enhanced reasoning question answering over temporal knowledge graphs

C Du, X Li, Z Li - Journal of Intelligent Information Systems, 2024 - Springer
Abstract Question Answering Over Temporal Knowledge Graphs (TKGQA) is an important
topic in question answering. TKGQA focuses on accurately understanding questions …

Time-aware multiway adaptive fusion network for temporal knowledge graph question answering

Y Liu, D Liang, F Fang, S Wang, W Wu… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
Knowledge graphs (KGs) have received increasing attention due to its wide applications on
natural language processing. However, its use case on temporal question answering (QA) …

Targeted extraction of temporal facts from textual resources for improved temporal question answering over knowledge bases

N Kannen, U Sharma, S Neelam, D Khandelwal… - arXiv preprint arXiv …, 2022 - arxiv.org
Knowledge Base Question Answering (KBQA) systems have the goal of answering complex
natural language questions by reasoning over relevant facts retrieved from Knowledge …

M3TQA: Multi-View, Multi-Hop and Multi-Stage Reasoning for Temporal Question Answering

Z Zha, P Qi, X Bao, M Tian, B Qin - ICASSP 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
Knowledge Graph (KG) have attained notable triumph over Question Answering (QA) tasks.
However, the presence of temporal constraints on numerous facts within the real world has …

Multi-granularity temporal question answering over knowledge graphs

Z Chen, J Liao, X Zhao - Proceedings of the 61st Annual Meeting …, 2023 - aclanthology.org
Recently, question answering over temporal knowledge graphs (ie, TKGQA) has been
introduced and investigated, in quest of reasoning about dynamic factual knowledge. To …

TML: A Temporal-aware Multitask Learning Framework for Time-sensitive Question Answering

Z Chen, S Wu, X Zhang, Z Feng - … of the ACM Web Conference 2023, 2023 - dl.acm.org
Many facts change over time, Time-sensitive Question Answering (TSQA) answers
questions about time evolution facts to test the model's ability in the dimension of the time …