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Search Results for "natural language processing"
Found 20 papers
Fast Vocabulary Transfer for Language Model Compression
Real-world business applications require a trade-off between language model performance and size. We propose a new method for model compression that relies on vocabulary transfer. We evaluate the meth...
Research on Optimization of Natural Language Processing Model Based on Multimodal Deep Learning
This project intends to study the image representation based on attention mechanism and multimodal data. By adding multiple pattern layers to the attribute model, the semantic and hidden layers of ima...
Experience Grounds Language
Language understanding research is held back by a failure to relate language to the physical world it describes and to the social interactions it facilitates. Despite the incredible effectiveness of l...
Empowering Bengali Education with AI: Solving Bengali Math Word Problems through Transformer Models
Mathematical word problems (MWPs) involve the task of converting textual descriptions into mathematical equations. This poses a significant challenge in natural language processing, particularly for l...
MedicalBERT: enhancing biomedical natural language processing using pretrained BERT-based model
Recent advances in natural language processing (NLP) have been driven bypretrained language models like BERT, RoBERTa, T5, and GPT. Thesemodels excel at understanding complex texts, but biomedical lit...
Automated Literature Review Using NLP Techniques and LLM-Based Retrieval-Augmented Generation
This research presents and compares multiple approaches to automate the generation of literature reviews using several Natural Language Processing (NLP) techniques and retrieval-augmented generation (...
Natural Language Processing Advancements By Deep Learning: A Survey
Natural Language Processing (NLP) helps empower intelligent machines by enhancing a better understanding of the human language for linguistic-based human-computer communication. Recent developments in...
A Cross-lingual Natural Language Processing Framework for Infodemic Management
The COVID-19 pandemic has put immense pressure on health systems which are further strained due to the misinformation surrounding it. Under such a situation, providing the right information at the rig...
From Text to Graph: Leveraging Graph Neural Networks for Enhanced Explainability in NLP
Researchers have relegated natural language processing tasks to Transformer-type models, particularly generative models, because these models exhibit high versatility when performing generation and cl...
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey
Large, pre-trained transformer-based language models such as BERT have drastically changed the Natural Language Processing (NLP) field. We present a survey of recent work that uses these large languag...
An Evaluation Dataset for Legal Word Embedding: A Case Study On Chinese Codex
Word embedding is a modern distributed word representations approach widely used in many natural language processing tasks. Converting the vocabulary in a legal document into a word embedding model fa...
Requirement Formalisation using Natural Language Processing and Machine Learning: A Systematic Review
Improvement of software development methodologies attracts developers to automatic Requirement Formalisation (RF) in the Requirement Engineering (RE) field. The potential advantages by applying Natura...
Automatic Generation of Behavioral Test Cases For Natural Language Processing Using Clustering and Prompting
Recent work in behavioral testing for natural language processing (NLP) models, such as Checklist, is inspired by related paradigms in software engineering testing. They allow evaluation of general li...
SentiMATE: Learning to play Chess through Natural Language Processing
We present SentiMATE, a novel end-to-end Deep Learning model for Chess, employing Natural Language Processing that aims to learn an effective evaluation function assessing move quality. This function ...
Including Signed Languages in Natural Language Processing
Signed languages are the primary means of communication for many deaf and hard of hearing individuals. Since signed languages exhibit all the fundamental linguistic properties of natural language, we ...
Causality for Natural Language Processing
Causal reasoning is a cornerstone of human intelligence and a critical capability for artificial systems aiming to achieve advanced understanding and decision-making. This thesis delves into various d...
Survey on reinforcement learning for language processing
In recent years some researchers have explored the use of reinforcement learning (RL) algorithms as key components in the solution of various natural language processing tasks. For instance, some of t...
Neural Machine Translation model for University Email Application
Machine translation has many applications such as news translation, email translation, official letter translation etc. Commercial translators, e.g. Google Translation lags in regional vocabulary and ...
On Uncertainty In Natural Language Processing
The last decade in deep learning has brought on increasingly capable systems that are deployed on a wide variety of applications. In natural language processing, the field has been transformed by a nu...
A Practical Survey on Zero-shot Prompt Design for In-context Learning
The remarkable advancements in large language models (LLMs) have brought about significant improvements in Natural Language Processing(NLP) tasks. This paper presents a comprehensive review of in-cont...