Results 61 to 70 of about 1,419 (172)

BdSentiLLM: A Novel LLM Approach to Sentiment Analysis of Product Reviews

IEEE Access
Online communication has led to more people expressing themselves in their preferred languages, especially in e-commerce, where product reviews are crucial. Understanding customer sentiment through product reviews and comments can help businesses improve
Atia Shahnaz Ipa, Priyo Nath Roy, Mohammad Abu Tareq Rony, Ali Raza, Norma Latif Fitriyani, Yeonghyeon Gu, Muhammad Syafrudin   +6 more
doaj   +1 more source

Open Learning and Learning at Scale: The Legacy of MOOCs

Journal of Interactive Media in Education
This paper provides an introduction to the special collection. It presents a summary of the last decade in relation to research on MOOCs and describes the FutureLearn Academic Network (FLAN), which brought together FutureLearn partners for sharing and ...
Fereshte Goshtasbpour, Matt Cornock, Bronwen Swinnerton, Lisa Harris, Rebecca Ferguson, Eileen Scanlon   +5 more
doaj   +1 more source

A Comparative Analysis of Character and Word-Based Tokenization for Kawi-Indonesian Neural Machine Translation

Journal of Applied Informatics and Computing
Preserving regional languages ​​is a strategic step in preserving cultural heritage while expanding access to knowledge across generations. One approach that can support this effort is the application of automatic translation technology to digitize and ...
I Gede Bintang Arya Budaya, I Gede Putra Mas Yusadara   +1 more
doaj   +1 more source

LLM based QA chatbot builder: A generative AI-based chatbot builder for question answering

SoftwareX
Large language model (LLM) based interactive chatbots have been gaining popularity as a tool to serve organizational information among people. Building such a tool goes through several development phases i.e.
Md. Shahidul Salim, Sk Imran Hossain, Tanim Jalal, Dhiman Kumer Bose, Mohammad Jahid Ibna Basher   +4 more
doaj   +1 more source

Flan: An Expressive and Efficient Datalog Compiler for Program Analysis

Proceedings of the ACM on Programming Languages
Datalog has gained prominence in program analysis due to its expressiveness and ease of use. Its generic fixpoint resolution algorithm over relational domains simplifies the expression of many complex analyses. The performance and scalability issues of early Datalog approaches have been addressed by tools such as Soufflé through specialized code ...
Supun Abeysinghe, Anxhelo Xhebraj, Tiark Rompf   +2 more
openaire   +1 more source

Leveraging mobile NER for real-time capture of symptoms, diagnoses, and treatments from clinical dialogues

Informatics in Medicine Unlocked
In the dynamic world of healthcare technology, efficiently and accurately extracting medical data from physician–patient conversations is vital. This paper presents a new approach in healthcare technology, employing Natural Language Processing (NLP) to ...
Rafik Rhouma, Christopher McMahon, Donald Mcgillivray, Hassan Massood, Safia Kanwal, Meraj Khan, Thomas Lo, Jean-Paul Lam, Christopher Smith   +8 more
doaj   +1 more source

Cooking Recipe for Flan

Cooking Recipe for Flan in the project https://gams.uni-graz.at ...
Helmut W. Klug, Christian Steiner, Astrid Böhm, Julia Eibinger   +3 more
openaire   +7 more sources

Optimize to Open: An Exploratory-Experimental Approach to the Computational Optimization of Open Large Language Models for Educational Access

Journal of Interactive Media in Education
The rapid integration of artificial intelligence into open education has intensified global demands for equitable access, sustainable infrastructure, and technological inclusion.
Iván Miguel García-López, José-Martín Molina-Espinosa, María-Soledad Ramírez-Montoya   +2 more
doaj   +1 more source

Multimodal Fine-Tuning of LLMs for Robust Document Visual Question Answering

IEEE Access
Document Visual Question Answering (DocVQA) necessitates comprehension of both the spatial layout and the textual content. Multimodal pretraining is a foundational component of existing vision-language models, including LayoutLM. However, they frequently
Sahil Tripathi, Md Tabrez Nafis, Imran Hussain, Abdul Khader Jilani Saudagar   +3 more
doaj   +1 more source

FLaNS: Feature-Label Negative Sampling for Out-of-Distribution Detection

IEEE Access
Many existing deep learning models suffer from a fundamental limitation, where they often misclassify Out-of-Distribution (OOD) data as In-Distribution (ID) data. OOD data represent data patterns that differ from the training distribution, such as images of unseen classes or different domains.
Chaejin Lim, Junhee Hyeon, Kiseong Lee, Dongil Han   +3 more
openaire   +2 more sources