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20232026
most citedA Comprehensive Evaluation of Neural SPARQL Query Generation from Natural Language Questions

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Last Translation Benchmark

Vilém Zouhar, Niyati Bafna, Mukund Choudhary +241

For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, stan…

cs.CL2026

DeSQ: Decomposition-based SPARQL Query Generation

Papa Abdou Karim Karou Diallo, Aditya Sharma, Neshat Elhami Fard +1

Dominant approaches to Knowledge Base Question Answering (KBQA) fall into two categories. First is the generation of a formal query that suffers from brittleness and limited explai…

cs.CL2025

FRASE: Structured Representations for Generalizable SPARQL Query Generation

Papa Abdou Karim Karou Diallo, Amal Zouaq

Translating natural language questions into SPARQL queries enables Knowledge Base querying for factual and up-to-date responses. However, existing datasets for this task are predom…

cs.CL2025

Enhancing Frame Detection with Retrieval Augmented Generation

Papa Abdou Karim Karou Diallo, Amal Zouaq

Recent advancements in Natural Language Processing have significantly improved the extraction of structured semantic representations from unstructured text, especially through Fram…

cs.CL2023★ 2 cited

A Comprehensive Evaluation of Neural SPARQL Query Generation from Natural Language Questions

Papa Abdou Karim Karou Diallo, Samuel Reyd, Amal Zouaq

In recent years, the field of neural machine translation (NMT) for SPARQL query generation has witnessed significant growth. Incorporating the copy mechanism with traditional encod…