0% Complete
صفحه اصلی
/
اولین همایش بین المللی هوش مصنوعی
Split and rephrase: Simple Syntactic Sentences for NLP applications
نویسندگان :
Mahdi Asghari
1
Alireza Talebpour
2
Ghasem Darzi
3
1- دانشگاه شهید بهشتی
2- دانشگاه شهید بهشتی
3- دانشگاه شهید بهشتی
کلمات کلیدی :
Split and rephrase،Text simplification،Compound sentence،Complex sentence،Simple sentence،Text generation
چکیده :
In today's world, simplifying compound and complex sentences into simple sentences is crucial for enhancing machine understanding in various natural language processing (NLP) tasks, such as inference, machine translation, and information extraction. This simplification process improves accuracy. Consequently, our research is inspired by a text simplification method called "split and rephrase." We introduce a new sequence-to-sequence text generation model that transforms complex sentences into simple ones based on the conjunction "and" in Persian. By utilizing linguistic models with millions or even billions of parameters, our approach facilitates a better understanding of text complexities and more accurate identification of breaking points. Our results show an output accuracy of 0.47 in the BLEU score for the generated simple sentences, which are both grammatically correct and fluent. Keywords—Split and rephrase, Text simplification, Compound sentence, Complex sentence, Simple sentence, Text generation
لیست مقالات
لیست مقالات بایگانی شده
Improving the Quality of Life: The Experience of Women with MS from AI Chatbot Program
Zahra Lotfi foroushani
Development and Validation of the Comprehensive Persian Social Perception Dictionary using a Semi-automated Method
Ali Heirani-Tabas - Pegah Nejat - Mehrnoosh Shamsfard - Sina Mahmudian
Enhancing IoT Data Prediction Accuracy Using Deep Learning and Metaheuristic Algorithms
Safoura Ashoori - Khadigh Nemati - Mohamad hadi Amini
Studying the Impact of Artificial Intelligence in the Judicial System
Mahdi Rajaeian - Shadi Chegini
AI-Powered Beauty: Innovations, Transformations, and Ethical Considerations
Rana Poureskandar - Abbas Mirzaei - Babak Nouri-Moghaddam
Deep Learning in Healthcare: Focusing on Interpretability and Data Quality Challenges for Enhanced Disease Detection
Mahsa Yaghoobi - Abbas Mirzaei - Babak Nouri-Moghaddam
Computational Complexity of Sentiment Analysis Algorithms in Natural Language Processing
Kiana Karimifard - Mohammad Ghasemzadeh
بهبود عملکرد پیشبینی دادههای IOT با رویکرد ترکیبی شبکه عصبی و الگوریتم ژنتیک
محمد هادی امینی - خدیجه نعمتی - صفورا عاشوری
Attention-Based Noise Reduction for Surface-Electromyography: A Novel Method for Enhanced Signal Quality in Clinical Diagnostics
Seyyed Ali Zendehbad - Abdollah PourMottaghi - Marzieh Allami Sanjani
Enhanced Brain Tumor Detection: A Novel CNN Approach Optimized by the Crow Search Algorithm
Maryam Moradi - Sima Emadi
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.5.4