Search Results for author:
Found 4 papers, 1 papers with code
Introduction to Neural Network based Approaches for Question Answering over Knowledge Graphs
Question answering has emerged as an intuitive way of querying structured data sources, and has attracted significant advancements over the years.
Translating Natural Language to SQL using Pointer-Generator Networks and How Decoding Order Matters
Translating natural language to SQL queries for table-based question answering is a challenging problem and has received significant attention from the research community.
Learning to Rank Query Graphs for Complex Question Answering over Knowledge Graphs
In this paper, we conduct an empirical investigation of neural query graph ranking approaches for the task of complex question answering over knowledge graphs.
FREME: Multilingual Semantic Enrichment with Linked Data and Language Technologies
In the recent years, Linked Data and Language Technology solutions gained popularity.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
