Existing multiple modality fusion methods, such as concatenation, summat...
In this paper, we study the importance of context in predicting the cita...
While convolutional neural networks (CNNs) have significantly boosted th...
Studies show that neural networks are susceptible to adversarial attacks...
Graph convolutional networks have been successfully applied in various
g...
This paper presents our submission to the SemEval 2020 - Task 10 on emph...
In this paper, we formulate keyphrase extraction from scholarly articles...
In this paper, we present a keyphrase generation approach using conditio...
Dialogue act (DA) classification has been studied for the past two decad...
In this paper we present our approach and the system description for Sub...
In this paper we present our approach and the system description for Sub...
Motivated by the observation that humans can learn patterns from two giv...
With the widespread of user-generated Internet videos, emotion recogniti...
Recently, video classification attracts intensive research efforts. Howe...