0% Complete
فارسی
Home
/
یازدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
Persian Language Understanding in Task-oriented Dialogue System for Online Shopping
Authors :
Zeinab Borhanifard
1
Hossein Basafa
2
Seyedeh Zahra Razavi
3
Heshaam Faili
4
1- دانشکده برق و کامپیوتر دانشگاه تهران
2- دانشکده برق و کامپیوتر دانشگاه تهران
3- University of Rochester
4- دانشکده برق و کامپیوتر دانشگاه تهران
Keywords :
task-oriented dialogue systems, natural language understanding, online shopping
Abstract :
Natural language understanding is a critical module in task-oriented dialogue systems. Recently, state-of-the-art approaches use deep learning methods and transformers to improve the performance of dialogue systems. In this work, we propose a natural language understanding model with a specific-shopping named entity recognizer using joint learning-based BERT transformer for task-oriented dialogue systems in the Persian Language. However, there is no published available dataset for Persian online shopping dialogue system, so to tackle the lack of data, we propose two methods for generating training data: fully-simulated and semi-simulated method. We created a simulated dataset with a hybrid of rule-based and template-based generation methods and a semi-simulated dataset where the language generation part is done by human to increase the quality of the dataset. Our experiments in the natural language understanding module show that a combination of the datasets can improve results. These dataset generation methods can apply in other domains for low-resource languages in task-oriented dialogue systems for solving the cold start problem of datasets.
Papers List
List of archived papers
Electrophysiological Modeling and Interactive Approaches of Electrical Circuits and Hypergraphs for Understanding Neural Circuit Dynamics
Arian Baymani - Maryam Naderi Soorki
Distributed coordination protocol for event data exchange in IoT monitoring applications
Behnam Khazael - Hadi Tabatabaee Malazi
StockFM: پیش بینی قیمت بازار بورس ایران به کمک مدل بنیادین سری زمانی
فاطمه چیت ساز - سامان هراتی زاده
Vi-Net: A Deep Violent Flow Network for Violence Detection in Video Sequences
Tahereh Zarrat Ehsan - Seyed Mehdi Mohtavipour
A Swarm Intelligence Approach to Design Optimal Repeaters in Multilayer Graphene Nanoribbon Interconnects
Majid Sanaeepur - Maryam Momeni
طبقه بندی آسیبهای لیگامنت با استفاده از تحلیل تصاویر تشدید مغناطیسی توسط الگوریتمهای یادگیری عمیق
محسن اکبری - دکتر مریم مؤمنی محسن اکبری - مریم مؤمنی -
Establishing security using cryptography and biometric authentication to counter cyber-attacks
Mohammed ADIL AKABR - Mehdi Hamidkhani - Mostafa Sadeghi
A Hybrid Method to Reduce the Voltage Consumption in the Spiking Neural Networks
Shaghayegh Mehdizadeh saraj - Seyyed Amir Asghari - Mohammadreza Binesh Marvasti
سیستم توصیه گر برای خرید لوازم آرایشی و بهداشتی مبتنی بر الگوریتم جنگل تصادفی
فاطمه رمضانی خوزستانی - مجید رفیعی
A Nano-based High-Speed QCA circuit for Information Security with Image Masking
Saeid Seyedi - Hatam Abdoli
more
Samin Hamayesh - Version 42.5.2