Knowledge Base Question Answering

46 papers with code • 5 benchmarks • 9 datasets

Knowledge Base Q&A is the task of answering questions from a knowledge base.

( Image credit: Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering )

Latest papers with no code

RETINAQA : A Knowledge Base Question Answering Model Robust to both Answerable and Unanswerable Questions

no code yet • 16 Mar 2024

We propose a new model for KBQA named RetinaQA that is robust against unaswerability.

Interactive-KBQA: Multi-Turn Interactions for Knowledge Base Question Answering with Large Language Models

no code yet • 23 Feb 2024

For each category of complex question, we devised exemplars to guide LLMs through the reasoning processes.

Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answering

no code yet • 22 Feb 2024

We evaluated the performance of our framework using three benchmark datasets, and the results show that our framework outperforms state-of-the-art systems on the LC-QuAD and YAGO-QA benchmarks, yielding F1 scores of 11. 8% and 20. 7%, respectively.

Clue-Guided Path Exploration: An Efficient Knowledge Base Question-Answering Framework with Low Computational Resource Consumption

no code yet • 24 Jan 2024

In this paper, we introduce a Clue-Guided Path Exploration framework (CGPE) that efficiently merges a knowledge base with an LLM, placing less stringent requirements on the model's capabilities.

Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning

no code yet • 15 Nov 2023

Additional experiments in the in-domain setting show that FuSIC-KBQA also outperforms SoTA KBQA models when training data is limited.

In-Context Learning for Knowledge Base Question Answering for Unmanned Systems based on Large Language Models

no code yet • 6 Nov 2023

However, generating the most appropriate knowledge base query code based on Natural Language Questions (NLQ) poses a significant challenge in KBQA.

An In-Context Schema Understanding Method for Knowledge Base Question Answering

no code yet • 22 Oct 2023

The Knowledge Base Question Answering (KBQA) task aims to answer natural language questions based on a given knowledge base.

ADMUS: A Progressive Question Answering Framework Adaptable to Multiple Knowledge Sources

no code yet • 9 Aug 2023

With the introduction of deep learning models, semantic parsingbased knowledge base question answering (KBQA) systems have achieved high performance in handling complex questions.

VisKoP: Visual Knowledge oriented Programming for Interactive Knowledge Base Question Answering

no code yet • 6 Jul 2023

We present Visual Knowledge oriented Programming platform (VisKoP), a knowledge base question answering (KBQA) system that integrates human into the loop to edit and debug the knowledge base (KB) queries.

FC-KBQA: A Fine-to-Coarse Composition Framework for Knowledge Base Question Answering

no code yet • 26 Jun 2023

The generalization problem on KBQA has drawn considerable attention.