Intent Detection in Urdu Queries using Fine-tuned BERT models-Reference-Cited by-同舟云学术

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Intent Detection in Urdu Queries using Fine-tuned BERT models

Published:2022-12-14 Issue: Volume: Page:
ISSN:
Container-title:2022 16th International Conference on Open Source Systems and Technologies (ICOSST)
language:
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Author:

Shams Sana¹,Sadia Bareera²,Aslam Muhammad¹

Affiliation:

1. University of Engineering and Technology,Department of CS,Lahore,Pakistan

2. University of Engineering and Technology,CLE-KICS,Lahore,Pakistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10016770/10016797/10016834.pdf?arnumber=10016834

Reference31 articles.

1. Improving User Intent Detection in Urdu Web Queries with Capsule Net Architectures

2. Convolutional Neural Networks for Sentence Classification

3. Understanding user goals in web search

4. The Intention Behind Web Queries

5. A picture of search

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. LLM-enabled Intent-driven Service Configuration for Next Generation Networks;2024 IEEE 10th International Conference on Network Softwarization (NetSoft);2024-06-24

2. Revolutionizing Urdu Sentiment Analysis: Harnessing the Power of XLM-R and GPT-2;IEEE Access;2024

3. Innovations in Urdu Sentiment Analysis Using Machine and Deep Learning Techniques for Two-Class Classification of Symmetric Datasets;Symmetry;2023-05-05

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