TimeQuestions

Dataset Information
Introduced
2021
License
Unknown
Homepage
Official Website
Contents

Overview

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 attention in research. We present EXAQT, the first end-to-end system for answering complex temporal questions that have multiple entities and predicates, and associated temporal conditions.

Variants: TimeQuestions

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Question Answering Quasar RAG-based Question Answering over Heterogeneous … 2024-12-10
Question Answering FAITH Faithful Temporal Question Answering over … 2024-02-23
Question Answering GPT-4 OpenAi's GPT4 as coding assistant 2023-09-22
Question Answering EXPLAIGNN Explainable Conversational Question Answering over … 2023-05-02
Question Answering Llama3 LLaMA: Open and Efficient Foundation … 2023-02-27
Question Answering TMA Time-aware Multiway Adaptive Fusion Network … 2023-02-24
Question Answering GRAFT-Net GraphNeT: Graph neural networks for … 2022-10-21
Question Answering TwiRGCN TwiRGCN: Temporally Weighted Graph Convolution … 2022-10-12
Question Answering SF-TQA Semantic Framework based Query Generation … 2022-10-10
Question Answering Convinse Conversational Question Answering on Heterogeneous … 2022-04-25
Question Answering InstructGPT Training language models to follow … 2022-03-04
Question Answering TempoQR TempoQR: Temporal Question Reasoning over … 2021-12-10
Question Answering EXAQT Complex Temporal Question Answering on … 2021-09-18
Question Answering UniQorn UNIQORN: Unified Question Answering over … 2021-08-19
Question Answering CRONKGQA Question Answering Over Temporal Knowledge … 2021-06-03
Question Answering PullNet PullNet: Open Domain Question Answering … 2019-04-21

Research Papers

Recent papers with results on this dataset:

External Links: