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Found 8 papers, 3 papers with code
Resolving Prepositional Phrase Attachment Ambiguities with Contextualized Word Embeddings
This paper applies contextualized word embedding models to a long-standing problem in the natural language parsing community, namely prepositional phrase attachment.
COMEX: A Tool for Generating Customized Source Code Representations
To overcome this barrier, we propose our tool COMEX - a framework that allows researchers and developers to create and combine multiple code-views which can be used by machine learning (ML) models for various SE tasks.
The role of entanglement for enhancing the efficiency of quantum kernels towards classification
In this work, we analyse and classify sentiments of textual data using a new quantum kernel based on linear and full entangled circuits as hyperparameters for controlling the correlation among words.
A Novel Approach for Cancellation of Non-Aligned Inter Spreading Factor Interference in LoRa Systems
In this paper, we analytically model this interference, and propose an interference cancellation method based on the idea of segmentation of the received signal.
Dynamic Structural Impact of the COVID-19 Outbreak on the Stock Market and the Exchange Rate: A Cross-country Analysis Among BRICS Nations
As an extension to our earlier work on the dynamic associations of pandemic growth, exchange rate, and stock market indices in the context of India, we look at the same question with respect to the BRICS nations.
Examining the Effect of COVID-19 on Foreign Exchange Rate and Stock Market -- An Applied Insight into the Variable Effects of Lockdown on Indian Economy
Since March 25, 2020, India had been under a nation-wide lockdown announced as a response to the spread of SARS-CoV-2 and COVID-19 and has resorted to a process of 'unlocking' the lockdown over the past couple of months.
A Survey on Resilient Machine Learning
Machine learning based system are increasingly being used for sensitive tasks such as security surveillance, guiding autonomous vehicle, taking investment decisions, detecting and blocking network intrusion and malware etc.
Reducing Bias in Production Speech Models
Replacing hand-engineered pipelines with end-to-end deep learning systems has enabled strong results in applications like speech and object recognition.
