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20202022
most citedContrastive Representation Learning for Conversational Question Answering over Knowledge Graphs

1 citations · 1 across the 3 of their papers we have counts for

collaborators

8 papers

cs.CL20221 cited

Contrastive Representation Learning for Conversational Question Answering over Knowledge Graphs

Endri Kacupaj, Kuldeep Singh, Maria Maleshkova +1

This paper addresses the task of conversational question answering (ConvQA) over knowledge graphs (KGs). The majority of existing ConvQA methods rely on full supervision signals wi…

cs.CL2021

VOGUE: Answer Verbalization through Multi-Task Learning

Endri Kacupaj, Shyamnath Premnadh, Kuldeep Singh +2

In recent years, there have been significant developments in Question Answering over Knowledge Graphs (KGQA). Despite all the notable advancements, current KGQA systems only focus…

cs.IR2021

GeoWINE: Geolocation based Wiki, Image,News and Event Retrieval

Golsa Tahmasebzadeh, Endri Kacupaj, Eric Müller-Budack +3

In the context of social media, geolocation inference on news or events has become a very important task. In this paper, we present the GeoWINE (Geolocation-based Wiki-Image-News-E…

cs.IR2021

Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical Records

Aynur Guluzade, Endri Kacupaj, Maria Maleshkova

Medical knowledge graphs (KGs) constructed from Electronic Medical Records (EMR) contain abundant information about patients and medical entities. The utilization of KG embedding m…

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…