<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Bert on</title><link>https://h30306.github.io/blog/tags/bert/</link><description>Recent content in Bert on</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>hwork0511@gmail.com (Wei Yi Chung)</managingEditor><webMaster>hwork0511@gmail.com (Wei Yi Chung)</webMaster><copyright>© 2026 Wei Yi Chung</copyright><lastBuildDate>Fri, 01 Nov 2024 00:00:00 +0000</lastBuildDate><atom:link href="https://h30306.github.io/blog/tags/bert/index.xml" rel="self" type="application/rss+xml"/><item><title>Dynamic Traffic Network Representation Model for MRT Passenger Flow</title><link>https://h30306.github.io/blog/paper/2024-kbs-dynamic-traffic-network-representation/</link><pubDate>Fri, 01 Nov 2024 00:00:00 +0000</pubDate><author>hwork0511@gmail.com (Wei Yi Chung)</author><guid>https://h30306.github.io/blog/paper/2024-kbs-dynamic-traffic-network-representation/</guid><description>Knowledge-Based Systems 2024: BERT dynamic station representations plus a hierarchical attention model that predicts MRT passenger flow from time, station and route views</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://h30306.github.io/blog/paper/2024-kbs-dynamic-traffic-network-representation/featured.png"/></item><item><title>A Chinese Dimensional Valence-Arousal-Irony Detection on Sentence-level and Context-level Using Deep Learning Model</title><link>https://h30306.github.io/blog/paper/2022-ijclclp-cdvai-irony-detection/</link><pubDate>Fri, 30 Dec 2022 00:00:00 +0000</pubDate><author>hwork0511@gmail.com (Wei Yi Chung)</author><guid>https://h30306.github.io/blog/paper/2022-ijclclp-cdvai-irony-detection/</guid><description>IJCLCLP 2022: the journal extension of CDVAI, applying three feature-combination setups at both the sentence and context level and adding automatic prediction of the ironic context span</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://h30306.github.io/blog/paper/2022-ijclclp-cdvai-irony-detection/featured.png"/></item><item><title>Factor Detection Task of Cyberbullying Using the Deep Learning Model</title><link>https://h30306.github.io/blog/paper/2022-ieee-bigdata-cyberbullying-factor-detection/</link><pubDate>Sat, 17 Dec 2022 00:00:00 +0000</pubDate><author>hwork0511@gmail.com (Wei Yi Chung)</author><guid>https://h30306.github.io/blog/paper/2022-ieee-bigdata-cyberbullying-factor-detection/</guid><description>IEEE BigData 2022 Workshop: defining six cyberbullying factors, building a Chinese PTT corpus, and using BERT to detect them and analyze bullying patterns around public figures</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://h30306.github.io/blog/paper/2022-ieee-bigdata-cyberbullying-factor-detection/featured.png"/></item><item><title>A Dimensional Valence-Arousal-Irony Dataset for Chinese Sentence and Context</title><link>https://h30306.github.io/blog/paper/2022-rocling-cdvai-irony-dataset/</link><pubDate>Mon, 21 Nov 2022 00:00:00 +0000</pubDate><author>hwork0511@gmail.com (Wei Yi Chung)</author><guid>https://h30306.github.io/blog/paper/2022-rocling-cdvai-irony-dataset/</guid><description>ROCLING 2022: extending the NTU irony corpus with sentence-level V/A/I and context-level V/A intensities, and benchmarking it with BERT</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://h30306.github.io/blog/paper/2022-rocling-cdvai-irony-dataset/featured.png"/></item><item><title>DVA-BERT: Sentiment-Based Masked Language Modeling for Valence–Arousal Prediction</title><link>https://h30306.github.io/blog/paper/2022-applied-intelligence-dva-bert/</link><pubDate>Tue, 22 Mar 2022 00:00:00 +0000</pubDate><author>hwork0511@gmail.com (Wei Yi Chung)</author><guid>https://h30306.github.io/blog/paper/2022-applied-intelligence-dva-bert/</guid><description>Applied Intelligence 2022: masking sentiment words by their intensity instead of random tokens, as an auxiliary task that improves sentence-level valence–arousal prediction</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://h30306.github.io/blog/paper/2022-applied-intelligence-dva-bert/featured.png"/></item><item><title>A Dynamic Embedding Method for Passenger Flow Estimation</title><link>https://h30306.github.io/blog/paper/2021-iiai-aai-dynamic-embedding-passenger-flow/</link><pubDate>Thu, 01 Jul 2021 00:00:00 +0000</pubDate><author>hwork0511@gmail.com (Wei Yi Chung)</author><guid>https://h30306.github.io/blog/paper/2021-iiai-aai-dynamic-embedding-passenger-flow/</guid><description>IIAI-AAI 2021: BERT-pretrained dynamic MRT station embeddings replace GMAN&amp;rsquo;s static station features; 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