47 citations · 76 across the 11 of their papers we have counts for
10 papers · 1 filter
Adaptable Text Matching via Meta-Weight Regulator
Bo Zhang, Chen Zhang, Fang Ma +1
Neural text matching models have been used in a range of applications such as question answering and natural language inference, and have yielded a good performance. However, these…
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…
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…
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…
ScenarioSA: A Large Scale Conversational Database for Interactive Sentiment Analysis
Yazhou Zhang, Lingling Song, Dawei Song +3
Interactive sentiment analysis is an emerging, yet challenging, subtask of the sentiment analysis problem. It aims to discover the affective state and sentimental change of each pe…
Exploiting "Quantum-like Interference" in Decision Fusion for Ranking Multimodal Documents
Dimitris Gkoumas, Dawei Sogn
Fusing and ranking multimodal information remains always a challenging task. A robust decision-level fusion method should not only be dynamically adaptive for assigning weights to…