TEQUILA: Temporal Question Answering over Knowledge Bases

2019-08-09 · Zhen Jia, Abdalghani Abujabal, Rishiraj Saha Roy, Jannik Stroetgen, Gerhard Weikum

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 here, is that of temporal questions, where cues for temporal relations need to be discovered and handled. We present TEQUILA, an enabler method for temporal QA that can run on top of any KB-QA engine. TEQUILA has four stages. It detects if a question has temporal intent. It decomposes and rewrites the question into non-temporal sub-questions and temporal constraints. Answers to sub-questions are then retrieved from the underlying KB-QA engine. Finally, TEQUILA uses constraint reasoning on temporal intervals to compute final answers to the full question. Comparisons against state-of-the-art baselines show the viability of our method.

📄 PDF Abstract BibTeX arXiv:1908.03650

Code (0)

등록된 구현이 없습니다.

Tasks

Question Answering

ComplexTempQA: A Large-Scale Dataset for Complex Temporal Question Answering

2024-06-07 · Raphael Gruber, Abdelrahman Abdallah, Michael Färber, Adam Jatowt

We introduce ComplexTempQA, a large-scale dataset consisting of over 100 million question-answer pairs designed to tackle the challenges in temporal question answering. ComplexTempQA significantly surpasses existing benc…

Information Retrieval Question Answering

Question Answering Over Spatio-Temporal Knowledge Graph

2024-02-18 · Xinbang Dai, Huiying Li, Guilin Qi

Spatio-temporal knowledge graphs (STKGs) extend the concept of knowledge graphs (KGs) by incorporating time and location information. While the research community's focus on Knowledge Graph Question Answering (KGQA), the…

Graph Question Answering Knowledge Graphs Question Answering

ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs

2022-08-12 · Zifeng Ding, Zongyue Li, Ruoxia Qi, Jingpei Wu 외

Question answering over temporal knowledge graphs (TKGQA) has recently found increasing interest. TKGQA requires temporal reasoning techniques to extract the relevant information from temporal knowledge bases. The only e…

Knowledge Graphs Question Answering

Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs

2022-03-01 · ACL 2022 5 · Chao Shang, Guangtao Wang, Peng Qi, Jing Huang

Question answering over temporal knowledge graphs (KGs) efficiently uses facts contained in a temporal KG, which records entity relations and when they occur in time, to answer natural language questions (e.g., "Who was …

Knowledge Graphs Question Answering Sensitivity

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

2024-01-04 · Rikui Huang, Wei Wei, Xiaoye Qu, Wenfeng Xie 외

Temporal Knowledge Graph (TKG) is an extension of regular knowledge graph by attaching the time scope. Existing temporal knowledge graph question answering (TKGQA) models solely approach simple questions, owing to the pr…

Graph Question Answering Question Answering