42 citations · 101 across the 19 of their papers we have counts for
5 papers · 1 filter
Soft Marginal TransE for Scholarly Knowledge Graph Completion
Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann +1
Knowledge graphs (KGs), i.e. representation of information as a semantic graph, provide a significant test bed for many tasks including question answering, recommendation, and link…
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…
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…
Formal Ontology Learning from English IS-A Sentences
Sourish Dasgupta, Ankur Padia, Gaurav Maheshwari +2
Ontology learning (OL) is the process of automatically generating an ontological knowledge base from a plain text document. In this paper, we propose a new ontology learning approa…
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…