NLQxform allows users to express their complex query intentions in natural language questions. A transformer-based language model, i.e., BART, is employed to translate questions into standard SPARQL queries, which can be evaluated to retrieve the required information.
Nov 8, 2023 · This paper presents a question-answering (QA) system called NLQxform, which provides an easy-to-use natural language interface to facilitate accessing ...
Nov 8, 2023 · NLQxform allows users to express their complex query intentions in natural language questions. A transformer-based language model,. i.e., BART, ...
This repository includes the code of our paper NLQxform: A Language Model-based Question to SPARQL Transformer. - ruijie-wang-uzh/NLQxform.
May 22, 2024 · NLQxform allows users to express their complex query intentions in natural language questions. A transformer-based language model, i.e., BART, ...
Nov 29, 2023 · 1.25. 1.5. 1.75. 2. NLQxform: A Language Model-based Question to SPARQL Transformer. Published on Nov 29, 2023120 Views ...
This repository includes the code of our paper NLQxform: A Language Model-based Question to SPARQL Transformer. Python 1 · QAGCN ...
Oct 8, 2024 · Semantic parsing that translates natural language queries to SPARQL is of great importance for Knowledge Graph Question Answering (KGQA) systems ...
Co-authors ; NLQxform: A Language Model-based Question to SPARQL Transformer. R Wang, Z Zhang, L Rossetto, F Ruosch, A Bernstein. arXiv preprint arXiv:2311.07588 ...
Jan 2024 - Based on NLQxform, we developed and open-sourced NLQxform-UI ... NLQxform: A Language Model-based Question to SPARQL Transformer Ruijie Wang ...