Current Issue

December 2021, Volume 10, Number 6

Question Answering Module Leveraging Heterogeneous Datasets
Abinaya Govindan, Gyan Ranjan and Amit Verma,, USA

Warrants Generations using a Language Model and a Multi-Agent System
Fatima Alkhawaldeh, Tommy Yuan and Dimitar Kazakov, University of York, UK

October 2021, Volume 10, Number 5

Developing Products Update-Alert System for E-Commerce Websites Users using Html Data and Web Scraping Technique
Ikechukwu Onyenwe, Ebele Onyedinma, Chidinma Nwafor and Obinna Agbata, Nnamdi Azikiwe University, Nigeria

Analyzing Architectures for Neural Machine Translation using Low Computational Resources
Aditya Mandke, Onkar Litake, and Dipali Kadam, SCTR’s Pune Institute of Computer Technology, India

Natural Language Processing through the Subtractive Mountain Clustering Algorithm - A Medication Intake Chatbot
Paulo A. Salgado and T-P Azevedo Perdicoulis, Escola de Ciencias e Tecnologia Universidade de Tr´as-os-Montes e Alto Douro, Portugal

Built to Scale: A Corpus-Based Analysis of Adjective Scales in the Mcgill Pain Questionnaire
Miriam Stern, Princeton University, USA

August 2021, Volume 10, Number 4

Domain based Chunking
Nilamadhaba Mohapatra, Namrata Sarraf and Swapna sarit Sahu, Zeotap, India

Sentiment Analysis in Myanmar Language using Convolutional LSTM Neural Network
Nwet Yin Tun Thein and Khin Mar Soe, University of Computer Studies, Myanmar

June 2021, Volume 10, Number 3

Automatic Extraction of Semantic Roles in Support Verb Constructions
Ignazio Mauro Mirto, Università di Palermo, Italy

April 2021, Volume 10, Number 2

An Automated Multiple-Choice Question Generation using Natural Language Processing Techniques
Chidinma A. Nwafor and Ikechukwu E. Onyenwe, Nnamdi Azikiwe University Awka, Nigeria

Integrating Extracted Information from Bert and Multiple Embedding Methods with the Deep Neural Network for Humour Detection
Rida Miraj and Masaki Aono, Toyohashi University of Technology, Japan

February 2021, Volume 10, Number 1

Applying the Affective Aware Pseudo Association Method to Enhance the Top-N Recommendations Distribution
to Users in Group Emotion Recommender Systems

John Kalung Leung, Igor Griva and William G. Kennedy, George Mason University, USA