Relation Extraction (RE) is the task of extracting semantic relationship...
In this paper we present a novel method, Knowledge Persistence
(𝒦𝒫), for...
Learning on evolving(dynamic) graphs has caught the attention of researc...
This paper addresses the task of conversational question answering (Conv...
We introduce a new dataset for conversational question answering over
Kn...
Information Extraction (IE) tasks are commonly studied topics in various...
Transformers have been proven to be inadequate for graph representation
...
Scholarly Knowledge Graphs (KGs) provide a rich source of structured
inf...
One of the widely used cyber deception techniques is decoying, where
def...
Recently, several Knowledge Graph Embedding (KGE) approaches have been
d...
In recent years, there have been significant developments in Question
An...
We present a novel method for relation extraction (RE) from a single
sen...
This paper addresses the task of (complex) conversational question answe...
This paper presents ParaQA, a question answering (QA) dataset with multi...
Neural semantic parsing approaches have been widely used for Question
An...
In the last decade, a large number of Knowledge Graph (KG) information
e...
In this paper, we propose CHOLAN, a modular approach to target end-to-en...
In the era of Big Knowledge Graphs, Question Answering (QA) systems have...
In this paper, we present a novel method named RECON, that automatically...
We extract entities and relationships related to COVID-19 from a corpus ...
Pretrained Transformer models have emerged as state-of-the-art approache...
Large amounts of geospatial data have been made available recently on th...
Natural Language Processing (NLP) tools and frameworks have significantl...
Natural Language Processing (NLP) tools and frameworks have significantl...
The Entity Linking (EL) approaches have been a long-standing research fi...
Collaborative Question Answering (CQA) frameworks for knowledge graphs a...
Question answering (QA) over knowledge graphs has gained significant mom...
Particle Filter(PF) is used extensively for estimation of target Non-lin...