Repository for the paper: "Improving the Question Answering Quality using Answer Candidate Filtering based on Natural-Language Features" @ ISKE 2021
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Updated
Nov 27, 2021 - Jupyter Notebook
Repository for the paper: "Improving the Question Answering Quality using Answer Candidate Filtering based on Natural-Language Features" @ ISKE 2021
Updated EXAQT code for our CIKM'21 paper "Complex Temporal Qestion Answering on Knowledge Graphs"
Machine-generated KGQA dataset for DBLP scholarly knowledge graph
Code for Railway Transportation KGQA project
Python client for ZeroLink
Zero-shot LM prompting framework that uses procedural reasoning to solve complex knowledge graph based questions
MLPQ: A Dataset for Path Question Answering over Multilingual Knowledge Graphs
[EMNLP Findings 2022] ReaRev: Adaptive Reasoning for Question Answering over Knowledge Graphs
A dataset with KGQA results verbalization
Code and notebooks and data for the paper "Domain Specific Question Answering Over Knowledge Graphs Using Logical Programming and Large Language Models"
The code of An Empirical Study of Pre-trained Language Models in Simple Knowledge Graph Question Answering
Explainable complex question answering over RDF files via Llama Index.
Dataset Resplitting for Generalization in KGQA. See also https://github.com/semantic-systems/KGQA-datasets
一个关于血色衣冠的对话机器人, 基于 Rasa, 可语音与机器人对话
[AAAI 2022] TempoQR: Temporal Question Reasoning over Knowledge Graphs
Code for our CIKM'21 paper "Complex Temporal Qestion Answering on Knowledge Graphs"
You can find the most recent KGQA benchmark numbers from publications here.
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