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20162024
most citedEvaluating the Impact of Knowledge Graph Context on Entity Disambiguation Models

32 citations · 75 across the 10 of their papers we have counts for

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Showing 2021 · cs.CLShow all

7 papers · 2 filters

cs.CL2021★ 14 cited

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…

cs.CL2021★ 1 cited

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…

cs.CL2021

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…

cs.CL2021

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…

cs.CL2021

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…

cs.CL2021

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…