89 citations · 289 across the 20 of their papers we have counts for
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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…
DialoKG: Knowledge-Structure Aware Task-Oriented Dialogue Generation
Md Rashad Al Hasan Rony, Ricardo Usbeck, Jens Lehmann
Task-oriented dialogue generation is challenging since the underlying knowledge is often dynamic and effectively incorporating knowledge into the learning process is hard. It is pa…
RoMe: A Robust Metric for Evaluating Natural Language Generation
Md Rashad Al Hasan Rony, Liubov Kovriguina, Debanjan Chaudhuri +2
Evaluating Natural Language Generation (NLG) systems is a challenging task. Firstly, the metric should ensure that the generated hypothesis reflects the reference's semantics. Seco…
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…
VANiLLa : Verbalized Answers in Natural Language at Large Scale
Debanjali Biswas, Mohnish Dubey, Md Rashad Al Hasan Rony +1
In the last years, there have been significant developments in the area of Question Answering over Knowledge Graphs (KGQA). Despite all the notable advancements, current KGQA datas…
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…