42 citations · 121 across the 24 of their papers we have counts for
10 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…
Belittling the Source: Trustworthiness Indicators to Obfuscate Fake News on the Web
Diego Esteves, Aniketh Janardhan Reddy, Piyush Chawla +1
With the growth of the internet, the number of fake-news online has been proliferating every year. The consequences of such phenomena are manifold, ranging from lousy decision-maki…
No One is Perfect: Analysing the Performance of Question Answering Components over the DBpedia Knowledge Graph
Kuldeep Singh, Ioanna Lytra, Arun Sethupat Radhakrishna +3
Question answering (QA) over knowledge graphs has gained significant momentum over the past five years due to the increasing availability of large knowledge graphs and the rising i…
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…
A Stitch in Time Saves Nine -- SPARQL querying of Property Graphs using Gremlin Traversals
Harsh Thakkar, Dharmen Punjani, Yashwant Keswani +2
Knowledge graphs have become popular over the past years and frequently rely on the Resource Description Framework (RDF) or Property Graphs (PG) as underlying data models. However,…
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…
Killing Two Birds with One Stone -- Querying Property Graphs using SPARQL via GREMLINATOR
Harsh Thakkar, Dharmen Punjani, Jens Lehmann +1
Knowledge graphs have become popular over the past decade and frequently rely on the Resource Description Framework (RDF) or Property Graph (PG) databases as data models. However,…
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…