Automated math word problem solvers based on neural networks have
succes...
Neural architecture search (NAS) has allowed for the automatic creation ...
This paper describes CIC NLP's submission to the AmericasNLP 2023 Shared...
Financial markets are an intriguing place that offer investors the poten...
In order for artificial neural networks to begin accurately mimicking
bi...
Large language models having hundreds of millions, and even billions, of...
This paper discusses a facial expression recognition model and a descrip...
This paper proposes approaches to automatically create a large number of...
The research reported in this paper transforms a normal trash bin into a...
In this study, we build a chatbot system in a closed domain with the RAS...
This paper examines approaches to generate lexical resources for endange...
Manually constructing a Wordnet is a difficult task, needing years of
ex...
Bilingual dictionaries are expensive resources and not many are availabl...
Past approaches to translate a phrase in a language L1 to a language L2 ...
Vision-language models can assess visual context in an image and generat...
Recently the use of self-attention has yielded to state-of-the-art resul...
Attacks on deep learning models are often difficult to identify and ther...
Most modern neural networks for classification fail to take into account...
Although people have the ability to engage in vapid dialogue without eff...
Artificial Neural networks are mathematical models at their core. This
t...
This paper outlines the use of Transformer networks trained to translate...
Due to increasing threats from malicious software (malware) in both numb...
Multi-task learning (MTL) significantly pre-dates the deep learning era,...
The lack of diversity in the datasets available for automatic summarizat...
Poetry Generation involves teaching systems to automatically generate te...
The release of large natural language inference (NLI) datasets like SNLI...
Constructing accurate and automatic solvers of math word problems has pr...
Smartphones and tablets have become ubiquitous in our daily lives.
Smart...
The classification of textual data often yields important information. M...
Neural models enjoy widespread use across a variety of tasks and have gr...
This paper provides interested beginners with an updated and detailed
in...
Recent papers in neural machine translation have proposed the strict use...
In a world of proliferating data, the ability to rapidly summarize text ...
Many challenges in natural language processing require generating text,
...
Given vector representations for individual words, it is necessary to co...
An adversarial attack is an exploitative process in which minute alterat...
Convolutional Neural Network (CNNs) are typically associated with Comput...
Events of various kinds are mentioned and discussed in text documents,
w...