47 citations · 70 across the 8 of their papers we have counts for
14 papers
A Survey of Quantum Theory Inspired Approaches to Information Retrieval
Sagar Uprety, Dimitris Gkoumas, Dawei Song
Since 2004, researchers have been using the mathematical framework of Quantum Theory (QT) in Information Retrieval (IR). QT offers a generalized probability and logic framework. Su…
Assessing the Memory Ability of Recurrent Neural Networks
Cheng Zhang, Qiuchi Li, Lingyu Hua +1
It is known that Recurrent Neural Networks (RNNs) can remember, in their hidden layers, part of the semantic information expressed by a sequence (e.g., a sentence) that is being pr…
Quantum-like Structure in Multidimensional Relevance Judgements
Sagar Uprety, Prayag Tiwari, Shahram Dehdashti +4
A large number of studies in cognitive science have revealed that probabilistic outcomes of certain human decisions do not agree with the axioms of classical probability theory. Th…
Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks
Chen Zhang, Qiuchi Li, Dawei Song
Due to their inherent capability in semantic alignment of aspects and their context words, attention mechanism and Convolutional Neural Networks (CNNs) are widely applied for aspec…
Syntax-Aware Aspect-Level Sentiment Classification with Proximity-Weighted Convolution Network
Chen Zhang, Qiuchi Li, Dawei Song
It has been widely accepted that Long Short-Term Memory (LSTM) network, coupled with attention mechanism and memory module, is useful for aspect-level sentiment classification. How…
Modelling Dynamic Interactions between Relevance Dimensions
Sagar Uprety, Shahram Dehdashti, Lauren Fell +2
Relevance is an underlying concept in the field of Information Science and Retrieval. It is a cognitive notion consisting of several different criteria or dimensions. Theoretical m…