353 citations · 1.3k across the 38 of their papers we have counts for
5 papers · 1 filter
Translating Natural Language to SQL using Pointer-Generator Networks and How Decoding Order Matters
Denis Lukovnikov, Nilesh Chakraborty, Jens Lehmann +1
Translating natural language to SQL queries for table-based question answering is a challenging problem and has received significant attention from the research community. In this…
Learning to Rank Query Graphs for Complex Question Answering over Knowledge Graphs
Gaurav Maheshwari, Priyansh Trivedi, Denis Lukovnikov +3
In this paper, we conduct an empirical investigation of neural query graph ranking approaches for the task of complex question answering over knowledge graphs. We experiment with s…
Improving Response Selection in Multi-Turn Dialogue Systems by Incorporating Domain Knowledge
Debanjan Chaudhuri, Agustinus Kristiadi, Jens Lehmann +1
Building systems that can communicate with humans is a core problem in Artificial Intelligence. This work proposes a novel neural network architecture for response selection in an…
On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length
Stanisław Jastrzębski, Zachary Kenton, Nicolas Ballas +3
Stochastic Gradient Descent (SGD) based training of neural networks with a large learning rate or a small batch-size typically ends in well-generalizing, flat regions of the weight…
Incorporating Literals into Knowledge Graph Embeddings
Agustinus Kristiadi, Mohammad Asif Khan, Denis Lukovnikov +2
Knowledge graphs, on top of entities and their relationships, contain other important elements: literals. Literals encode interesting properties (e.g. the height) of entities that…