Top Research Papers on NLP

The goal of the Natural Language Processing is to style and build software system which will analyze, understand, and generate languages that humans use naturally, so as that you just could also be ready to address your computer as if you were addressing another person.

The outcome showed that the largest number of NLP publications occurred in 2021, with the first publication being in 1989, and the leading journal with the most publications was IEEE Access, and NLP papers have earned the most citations than any other journal.

Applications of NLP include a number of fields of studies, such as machine translation, natural language text processing and summarization, user interfaces, multilingual and cross language information retrieval, speech recognition, artificial intelligence and expert systems.

This study explores the current standing of NLP in aviation from the perspective of both research and industry, and identifies safety reports analyses, aviation maintenance, and air traffic control as the three main focus areas of N LP research in aviation.

The study identifies the publication trends, influential journals, cited articles, influential authors, institutions, countries, key research areas, and research clusters in the NLP field and revealed that the first NLP publication was in 1989, with the highest publication recorded in 2021.

A study of extractive and abstract methods for summarizing texts has been made and this paper analyses above mentioned methods which yields a less repetitive and a more concentrated summary.

The end to end working of a python application which efficiently screens the resumes of the candidates based on the organization's requirement is explained.

Evidence of lexical, syntactic, and semantic ambiguities that complicate the language understanding process is presented and focus on way ethical concerns like bias are paramount in making current NLP systems neutral is brought.

This paper delves into the application of Natural Language Processing techniques in recommendation systems, specifically focusing on novel approaches to enhance recommendation accuracy and user satisfaction, and introduces a novel recommendation method termed "Knowledge Graph Embedding for Contextual Recommendation".

Overall, this study demonstrates the transformative potential of NLP in optimizing the resume screening process by providing a scalable, efficient, and unbiased solution for large organizations.

NLP has a lot of potential for producing computer interfaces that are easier to use for humans, because people will be able to communicate with computers in their own language rather than having to learn a computer language.

This paper focuses on the semantic networks of lexical information, in order to highlight their value but also the urgent need to design and implement an electronic conceptual dictionary with ontological structure for the modern Greek language, according to international dictionary standards.

NLP adalah cabang dari kecerdasan buatan (AI) yang berhubungan dengan melatih komputer untuk memahami, memproses, dan menghasilkan bahasa. Salah satu implementasi NLP yang sangat penting adalah penerapannya di dunia pendidikan. NLP adalah proses yang efektif untuk membantu siswa dalam proses pembelajaran. Menerapkan NLP dalam lingkungan pendidikan tidak hanya membantu dalam mengembangkan proses bahasa yang efektif, tetapi juga penting untuk meningkatkan prestasi akademik. Beberapa penerapan NLP di dunia pendidikan adalah Peringkasan Teks dan Paraphrasing, Tanya Jawab, Chatbot (feedback dari pe...

This project enables physically challenged people to code without using a keyboard and can code entirely by their voice and execute their code using Natural Language Processing (NLP).

Meta-level knowledge concerning the current state of NLP has been captured, and a guide to use of basic NLP tools is provided, and all the tools and the dataset described in this contribution are publicly available.

Opportunities that Natural Language Processing (NLP) are providing to insurance are explained and different methods used today in practice traces back the story of them are details.

This research work explores the strategic approach and potential of NLP which maximizes the value of the EHR and healthcare data, making data a critical and trusted component in improving health outcomes.

This research presents a meta-modelling framework that automates the very labor-intensive and therefore time-heavy and expensive process of manually cataloging and cataloging individual words in a language.

An AI-based method to complement the manual analysis of text-based data from the verbatim transcripts of seven mall managers’ interviews can significantly reduce the overall workload and time consumed in qualitative research using conventional methods.

Natural language processing (NLP), which makes automated systems and customers interact more naturally and human-like, is a crucial component of chatbot-based customer service. Thanks to this technology, chatbots can now hear and comprehend speech or words quite similar to how humans do, providing efficient and customized customer support. NLPenabled chatbots can do tasks including answering questions, troubleshooting, and enhancing customer happiness. Aspects of natural language processing that are essential include sentiment analysis, entity extraction, and intent detection. NLP-driven chatb...

The purpose of this research will be carried out development of a chatbot application for information about the corporate, making it easier for visitors to find the information needed, with a Natural Language Processing approach.

TF-IDF, Cosine Similarity NLP techniques were employed by the authors to match strings in the suggested system, and output results are obtained instantly in real time.

It has been found that machine learning approach has overcome the limitations of other approaches in natural language processing (NLP) and realistic reviews about anything in the social media in their native language from individual smart phones are found to be effective for further research work.

It is found that duplicate tasks share conceptual information and are rather created by inexperienced developers, so by tuning different features to predict development tasks with a gradient or a Fidelity loss function a system can identify a duplicate tasks with 100% accuracy.

NLP and statistics-based “machine learning” (ML) have demonstrated accomplishment in challenging learning challenges and Automation, self-management technologies, speech synthesis, and deep learning advancements have empowered machines to achieve heretofore unthinkable feats.

A review is presented on the latest concepts in the field of word processing, information extraction, and implementing an interface for text analysis using the C++ programming language and Visual Studio 2015 edition.

A survey on Natural language processing (NLP) and its approaches is presented and it is shown that NLP uses Artificial Intelligence, and is used to recover information in data mining.

The proposed system explores to classify the shared posts in to positive, negative comments, identifies particular user who have commented on the negative side on the online social networking specifically on the facebook and also handles the web filtering technique to filter pornography websites.

Analyzing demographic data in tandem with cyberbullying experiences found a clear correlation between social media use length and the likelihood of running into cyberbullying, and suggests the creation of a customized natural language processing system specifically designed to identify Thai language cyberbullying events.

Automating this process helps any organization or management to have their MoM companion staged anytime, anywhere they need without human dependence.

Pencarian lokasi menjadi salah satu kebutuhan masyarakat dewasa ini terbukti dengan banyaknya penyedia layanan pemetaan. Untuk mencari lokasi dengan referensi relasi spasial tertentu, pengguna mendeskripsikannya dengan bahasa natural. Maka untuk membuat sistem pencarian lokasi yang mampu memahami masukan pengguna diperlukan implementasi Natural Language Processing (NLP). Penelitian terkait implementasi NLP untuk aplikasi pencarian lokasi masih dirasa perlu terutama karena belum adanya implementasi penelitian tersebut yang mendukung Bahasa Indonesia, sedangkan penelitian terkait yang sudah ada ...

This book represents a suitable point of departure for conventions in ANLP and provides current researchers with some guidelines from which to begin, some framework within which to work, and some goals for which …

It is suggested that considering a biomedical QA task is not necessarily such a simplification over open-domain QA as represented in the recent TREC evaluations.

This book represents a suitable point of departure for conventions in ANLP and provides current researchers with some guidelines from which to begin, some framework within which to work, and some goals for which …

This research exploits the emerging capabilities of large language models with over 100 billion parameters to extract actionable insights from raw drilling data through fine-tuning methodologies and the use of various prompt engineering strategies.

This work describes a new paradigm of Translational NLP, which aims to structure and facilitate the processes by whichbasic and applied NLP research inform one another, and identifies general translational principles to facilitate exchange between basic and applied research.

An overview of NLP models is provided, with a focus on GPT-3, as well as discussion of applications specific to ophthalmology, and the limitations of G PT-3 and the challenges with its integration into routine ophthalmic care are outlined.

This systematic review examines natural language processing approaches applied to aviation safety-related domains and uncovers future opportunities to leverage NLP models to facilitate the safety and efficiency of the aviation system.

The review’s analysis of the included research revealed that the use of NLP may result in low-cost and effective alternatives to existing resource-intensive methods of suicide prevention.

The discussion in this paper shows that natural language processing helps computers communicate with humans in their own language and makes scaling other language-related tasks easier and more systematic.

The results confirmed that NLP tools are helpful to reduce teachers' training biases in the evaluations of students' digital literacy skills and showed that N LP tools can complement the evidence that instructors share with students in review and feedback sessions and improve their perception of the validity and reliability of the assessment instruments.

A novel framework that leverages the cognitive capabilities of machines to process, analyze, and comprehend vast amounts of unstructured medical text is introduced, employing deep learning architectures and semantic analysis to extract clinically relevant information from radiology reports, patient histories, and other textual data sources.

This final year project is a Twitter dependant application called Cyberbullying Detection using Natural Language Processing and Text Analytics which focused on handling cyberbullying by removing inappropriate tweet content and alert the parents, guardian, and counsellor about the case via email.

Natural Language Processing (NLP) has experienced essential transformations thanks to machine learning (ML) technical implementations. This research discusses the integrated nature of NLP and ML through data driven methodologies that led to radical evolution in text classification and sentiment analysis and machine translation and question-answering systems. Deep learning architectures, particularly transformers like BERT, GPT, and T5, which utilize extensive datasets and contextual embeddings, have largely replaced traditional rule-based methods. This study examines crucial ML approaches, suc...

The method of creating a voice assistant without using cloud services is described, which will allow the expansion of such devices in the future.

Innovation is needed in developing more energy-efficient models, strategies to mitigate bias, and stricter data protection policies, so that AI-driven NLP can provide broader benefits to society across various domains.

This comparative study aims to analyze and compare the performance, language support, community support and ease of use of many popular Python libraries for NLP like NLTK, spaCy, TextBlob, Flair, Jina, Gensim etc.

There exists a contextual and methodological gap relating to Natural Language Processing (NLP) for sentiment analysis in social media, pointing towards future directions in hybrid NLP models for improved sentiment analysis across different languages and cultural contexts.

The app's innovative approach to storytelling provides a tailored experience that allows hearing-impaired children to enjoy stories in a way that is engaging and accessible, and its contribution to the field of assistive technology is significant.

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