b'Jugal Kalita'

research

∙ 07/24/2023

Explaining Math Word Problem Solvers

Automated math word problem solvers based on neural networks have succes...

0 Abby Newcomb, et al. ∙

research

∙ 06/01/2023

Training-free Neural Architecture Search for RNNs and Transformers

Neural architecture search (NAS) has allowed for the automatic creation ...

0 Aaron Serianni, et al. ∙

research

∙ 05/27/2023

Enhancing Translation for Indigenous Languages: Experiments with Multilingual Models

This paper describes CIC NLP's submission to the AmericasNLP 2023 Shared...

0 Atnafu Lambebo Tonja, et al. ∙

research

∙ 05/05/2023

Spatiotemporal Transformer for Stock Movement Prediction

Financial markets are an intriguing place that offer investors the poten...

0 Daniel Boyle, et al. ∙

research

∙ 12/24/2022

Utilizing Priming to Identify Optimal Class Ordering to Alleviate Catastrophic Forgetting

In order for artificial neural networks to begin accurately mimicking bi...

0 Gabriel Mantione-Holmes, et al. ∙

research

∙ 12/22/2022

CAMeMBERT: Cascading Assistant-Mediated Multilingual BERT

Large language models having hundreds of millions, and even billions, of...

0 Dan DeGenaro, et al. ∙

research

∙ 08/12/2022

Facial Expression Recognition and Image Description Generation in Vietnamese

This paper discusses a facial expression recognition model and a descrip...

0 Khang Nhut Lam, et al. ∙

research

∙ 08/12/2022

Automatically Creating a Large Number of New Bilingual Dictionaries

This paper proposes approaches to automatically create a large number of...

0 Khang Nhut Lam, et al. ∙

research

∙ 08/12/2022

Using Artificial Intelligence and IoT for Constructing a Smart Trash Bin

The research reported in this paper transforms a normal trash bin into a...

0 Khang Nhut Lam, et al. ∙

research

∙ 08/12/2022

Building a Chatbot on a Closed Domain using RASA

In this study, we build a chatbot system in a closed domain with the RAS...

0 Khang Nhut Lam, et al. ∙

research

∙ 08/08/2022

Creating Lexical Resources for Endangered Languages

This paper examines approaches to generate lexical resources for endange...

0 Khang Nhut Lam, et al. ∙

research

∙ 08/08/2022

Automatically constructing Wordnet synsets

Manually constructing a Wordnet is a difficult task, needing years of ex...

0 Khang Nhut Lam, et al. ∙

research

∙ 08/08/2022

Creating Reverse Bilingual Dictionaries

Bilingual dictionaries are expensive resources and not many are availabl...

0 Khang Nhut Lam, et al. ∙

research

∙ 08/05/2022

Phrase translation using a bilingual dictionary and n-gram data: A case study from Vietnamese to English

Past approaches to translate a phrase in a language L1 to a language L2 ...

0 Khang Nhut Lam, et al. ∙

research

∙ 07/09/2022

Towards Multimodal Vision-Language Models Generating Non-Generic Text

Vision-language models can assess visual context in an image and generat...

0 Wes Robbins, et al. ∙

research

∙ 06/28/2022

ZoDIAC: Zoneout Dropout Injection Attention Calculation

Recently the use of self-attention has yielded to state-of-the-art resul...

0 Zanyar Zohourianshahzadi, et al. ∙

research

∙ 02/11/2022

Using Random Perturbations to Mitigate Adversarial Attacks on Sentiment Analysis Models

Attacks on deep learning models are often difficult to identify and ther...

0 Abigail Swenor, et al. ∙

research

∙ 06/21/2021

Incremental Deep Neural Network Learning using Classification Confidence Thresholding

Most modern neural networks for classification fail to take into account...

0 Justin Leo, et al. ∙

research

∙ 06/04/2021

Improving Computer Generated Dialog with Auxiliary Loss Functions and Custom Evaluation Metrics

Although people have the ability to engage in vapid dialogue without eff...

0 Thomas Conley, et al. ∙

research

∙ 06/04/2021

Language Model Metrics and Procrustes Analysis for Improved Vector Transformation of NLP Embeddings

Artificial Neural networks are mathematical models at their core. This t...

0 Thomas Conley, et al. ∙

research

∙ 06/02/2021

Solving Arithmetic Word Problems with Transformers and Preprocessing of Problem Text

This paper outlines the use of Transformer networks trained to translate...

0 Kaden Griffith, et al. ∙

research

∙ 10/30/2020

Classifying Malware Images with Convolutional Neural Network Models

Due to increasing threats from malicious software (malware) in both numb...

0 Ahmed Bensaoud, et al. ∙

research

∙ 07/22/2020

Multi-task learning for natural language processing in the 2020s: where are we going?

Multi-task learning (MTL) significantly pre-dates the deep learning era,...

0 Joseph Worsham, et al. ∙

research

∙ 07/03/2020

Abstractive and mixed summarization for long-single documents

The lack of diversity in the datasets available for automatic summarizat...

0 Roger Barrull, et al. ∙

research

∙ 02/06/2020

Introducing Aspects of Creativity in Automatic Poetry Generation

Poetry Generation involves teaching systems to automatically generate te...

0 Brendan Bena, et al. ∙

research

∙ 12/07/2019

Adversarial Analysis of Natural Language Inference Systems

The release of large natural language inference (NLI) datasets like SNLI...

0 Tiffany Chien, et al. ∙

research

∙ 12/02/2019

Solving Arithmetic Word Problems Automatically Using Transformer and Unambiguous Representations

Constructing accurate and automatic solvers of math word problems has pr...

0 Kaden Griffith, et al. ∙

research

∙ 11/11/2019

Authentication of Smartphone Users Using Behavioral Biometrics

Smartphones and tablets have become ubiquitous in our daily lives. Smart...

0 Abdulaziz Alzubaidi, et al. ∙

research

∙ 10/28/2019

Moving Towards Open Set Incremental Learning: Readily Discovering New Authors

The classification of textual data often yields important information. M...

0 Justin Leo, et al. ∙

research

∙ 12/25/2018

Noise Flooding for Detecting Audio Adversarial Examples Against Automatic Speech Recognition

Neural models enjoy widespread use across a variety of tasks and have gr...

0 Krishan Rajaratnam, et al. ∙

research

∙ 12/23/2018

Intelligent Tutoring Systems: A Comprehensive Historical Survey with Recent Developments

This paper provides interested beginners with an updated and detailed in...

0 Ali Alkhatlan, et al. ∙

research

∙ 10/29/2018

Parallel Attention Mechanisms in Neural Machine Translation

Recent papers in neural machine translation have proposed the strict use...

0 Julian Richard Medina, et al. ∙

research

∙ 10/20/2018

Abstractive Summarization Using Attentive Neural Techniques

In a world of proliferating data, the ability to rapidly summarize text ...

0 Jacob Krantz, et al. ∙

research

∙ 10/20/2018

Hierarchical Text Generation using an Outline

Many challenges in natural language processing require generating text, ...

0 Mehdi Drissi, et al. ∙

research

∙ 10/16/2018

Exploring Sentence Vector Spaces through Automatic Summarization

Given vector representations for individual words, it is necessary to co...

0 Adly Templeton, et al. ∙

research

∙ 09/11/2018

Isolated and Ensemble Audio Preprocessing Methods for Detecting Adversarial Examples against Automatic Speech Recognition

An adversarial attack is an exploitative process in which minute alterat...

0 Krishan Rajaratnam, et al. ∙

research

∙ 03/09/2017

Deep Learning applied to NLP

Convolutional Neural Network (CNNs) are typically associated with Comput...

0 Marc Moreno Lopez, et al. ∙

research

∙ 01/15/2016

Detecting and Extracting Events from Text Documents

Events of various kinds are mentioned and discussed in text documents, w...

0 Jugal Kalita, et al. ∙

Jugal Kalita

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