42 citations · 121 across the 24 of their papers we have counts for
7 papers · 1 filter
Method for the semantic indexing of concept hierarchies, uniform representation, use of relational database systems and generic and case-based reasoning
Uwe Petersohn, Sandra Zimmer, Jens Lehmann
This paper presents a method for semantic indexing and describes its application in the field of knowledge representation. Starting point of the semantic indexing is the knowledge…
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…
EARL: Joint Entity and Relation Linking for Question Answering over Knowledge Graphs
Mohnish Dubey, Debayan Banerjee, Debanjan Chaudhuri +1
Many question answering systems over knowledge graphs rely on entity and relation linking components in order to connect the natural language input to the underlying knowledge grap…