Recent advances in deep learning based dialogue systems: A systematic survey
Dialogue systems are a popular natural language processing (NLP) task as it is promising in
real-life applications. It is also a complicated task since many NLP tasks deserving study are …
real-life applications. It is also a complicated task since many NLP tasks deserving study are …
Deep learning for medication recommendation: a systematic survey
Making medication prescriptions in response to the patient's diagnosis is a challenging task.
The number of pharmaceutical companies, their inventory of medicines, and the …
The number of pharmaceutical companies, their inventory of medicines, and the …
Novel encryption for color images using fractional-order hyperchaotic system
The fractional-order functions show better performance than their corresponding integer-
order functions in various image processing applications. In this paper, the authors propose …
order functions in various image processing applications. In this paper, the authors propose …
Software defect prediction employing BiLSTM and BERT-based semantic feature
Recent years, software defect prediction systems are becoming quite popular since they
improve software reliability by identifying the potential bugs in the code. Several models …
improve software reliability by identifying the potential bugs in the code. Several models …
On the current state of deep learning for news recommendation
The exponential outbreak of news articles makes it troublesome for the readers to find,
select and read the most relevant ones and alleviate the resulting information and cognitive …
select and read the most relevant ones and alleviate the resulting information and cognitive …
Cognitive structure learning model for hierarchical multi-label text classification
B Wang, X Hu, P Li, SY Philip - Knowledge-Based Systems, 2021 - Elsevier
The human mind grows in learning new knowledge, which finally organizes and develops a
basic mental pattern called cognitive structure. Hierarchical multi-label text classification …
basic mental pattern called cognitive structure. Hierarchical multi-label text classification …
Natural language understanding for argumentative dialogue systems in the opinion building domain
This paper introduces a natural language understanding (NLU) framework for argumentative
dialogue systems in the information-seeking and opinion building domain. The proposed …
dialogue systems in the information-seeking and opinion building domain. The proposed …
SPR-SMN: Scientific paper recommendation employing SPECTER with memory network
During the last decades, recommender systems are becoming quite popular since they
provide great assistance to users on social networks and library websites. Unfortunately, the …
provide great assistance to users on social networks and library websites. Unfortunately, the …
Joint intent detection and slot filling using weighted finite state transducer and BERT
Intent detection and slot filling are the two most essential tasks of natural language
understanding (NLU). Deep neural models have produced impressive results on these …
understanding (NLU). Deep neural models have produced impressive results on these …
Robust bag classification approach for multi-instance learning via subspace fuzzy clustering
Multi-instance learning (MIL) allows predictive algorithms to use complex data
representation. The data in MIL is organized in the form of labeled bags of instances, and …
representation. The data in MIL is organized in the form of labeled bags of instances, and …