1 citations · 4 across the 6 of their papers we have counts for
7 papers
BanglaQuAD: A Bengali Open-domain Question Answering Dataset
Md Rashad Al Hasan Rony, Sudipto Kumar Shaha, Rakib Al Hasan +4
Bengali is the seventh most spoken language on earth, yet considered a low-resource language in the field of natural language processing (NLP). Question answering over unstructured…
Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex Spaces
Mojtaba Nayyeri, Zihao Wang, Mst. Mahfuja Akter +4
Knowledge Graphs, such as Wikidata, comprise structural and textual knowledge in order to represent knowledge. For each of the two modalities dedicated approaches for graph embeddi…
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…
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…
Grounding Dialogue Systems via Knowledge Graph Aware Decoding with Pre-trained Transformers
Debanjan Chaudhuri, Md Rashad Al Hasan Rony, Jens Lehmann
Generating knowledge grounded responses in both goal and non-goal oriented dialogue systems is an important research challenge. Knowledge Graphs (KG) can be viewed as an abstractio…
Using a KG-Copy Network for Non-Goal Oriented Dialogues
Debanjan Chaudhuri, Md Rashad Al Hasan Rony, Simon Jordan +1
Non-goal oriented, generative dialogue systems lack the ability to generate answers with grounded facts. A knowledge graph can be considered an abstraction of the real world consis…