activity
20152024
most citedIntroduction to Neural Network based Approaches for Question Answering over Knowledge Graphs

42 citations · 101 across the 19 of their papers we have counts for

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5 papers · 1 filter

cs.AI20199 cited

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…

cs.AI2018

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…

cs.AI2018

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…

cs.AI2018

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…

cs.AI2018

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…