91 citations · 141 across the 9 of their papers we have counts for
10 papers
COfEE: A Comprehensive Ontology for Event Extraction from text
Ali Balali, Masoud Asadpour, Seyed Hossein Jafari
Data is published on the web over time in great volumes, but majority of the data is unstructured, making it hard to understand and difficult to interpret. Information Extraction (…
Behavioral Modeling of Persian Instagram Users to detect Bots
Muhammad Bazm, Masoud Asadpour
Bots are user accounts in social media which are controlled by computer programs. Similar to many other things, they are used for both good and evil purposes. One nefarious use-cas…
Joint Event Extraction along Shortest Dependency Paths using Graph Convolutional Networks
Ali Balali, Masoud Asadpour, Ricardo Campos +1
Event extraction (EE) is one of the core information extraction tasks, whose purpose is to automatically identify and extract information about incidents and their actors from text…
Overlapping Communities and the Prediction of Missing Links in Multiplex Networks
Amir Mahdi Abdolhosseini-Qomi, Naser Yazdani, Masoud Asadpour
Multiplex networks are a representation of real-world complex systems as a set of entities (i.e. nodes) connected via different types of connections (i.e. layers). The observed con…
SimBins: An information-theoretic approach to link prediction in real multiplex networks
Seyed Hossein Jafari, Amir Mahdi Abdolhosseini-Qomi, Maseud Rahgozar +2
The entities of real-world networks are connected via different types of connections (i.e. layers). The task of link prediction in multiplex networks is about finding missing conne…
Link Prediction in Real-World Multiplex Networks via Layer Reconstruction Method
Amir Mahdi Abdolhosseini-Qomi, Seyed Hossein Jafari, Amirheckmat Taghizadeh +3
A large body of research on link prediction problem is devoted to finding missing links in single-layer (simplex) networks. The proposed link prediction methods compute a similarit…