74 citations · 161 across the 19 of their papers we have counts for
7 papers · 1 filter
Triple Classification for Scholarly Knowledge Graph Completion
Mohamad Yaser Jaradeh, Kuldeep Singh, Markus Stocker +1
Scholarly Knowledge Graphs (KGs) provide a rich source of structured information representing knowledge encoded in scientific publications. With the sheer volume of published scien…
KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction
Abhishek Nadgeri, Anson Bastos, Kuldeep Singh +4
We present a novel method for relation extraction (RE) from a single sentence, mapping the sentence and two given entities to a canonical fact in a knowledge graph (KG). Especially…
Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention Networks
Endri Kacupaj, Joan Plepi, Kuldeep Singh +3
This paper addresses the task of (complex) conversational question answering over a knowledge graph. For this task, we propose LASAGNE (muLti-task semAntic parSing with trAnsformer…
ParaQA: A Question Answering Dataset with Paraphrase Responses for Single-Turn Conversation
Endri Kacupaj, Barshana Banerjee, Kuldeep Singh +1
This paper presents ParaQA, a question answering (QA) dataset with multiple paraphrased responses for single-turn conversation over knowledge graphs (KG). The dataset was created u…
Context Transformer with Stacked Pointer Networks for Conversational Question Answering over Knowledge Graphs
Joan Plepi, Endri Kacupaj, Kuldeep Singh +2
Neural semantic parsing approaches have been widely used for Question Answering (QA) systems over knowledge graphs. Such methods provide the flexibility to handle QA datasets with…
Better Call the Plumber: Orchestrating Dynamic Information Extraction Pipelines
Mohamad Yaser Jaradeh, Kuldeep Singh, Markus Stocker +2
In the last decade, a large number of Knowledge Graph (KG) information extraction approaches were proposed. Albeit effective, these efforts are disjoint, and their collective stren…
CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata
Manoj Prabhakar Kannan Ravi, Kuldeep Singh, Isaiah Onando Mulang' +3
In this paper, we propose CHOLAN, a modular approach to target end-to-end entity linking (EL) over knowledge bases. CHOLAN consists of a pipeline of two transformer-based models in…