• Congratulations to our lab's member Chun-Yu Hsueh for having their paper accepted in CLEF 2023 Working Notes! !  New!

• ​

• Congratulations ! ! Our lab's members Chun-Yu Hsueh won the Exact Answer 1 first place and Ideal Answer 4 first place in "Task 11b Phase B: Biomedical Semantic QA"! !  New!

  • Congratulations to Professor Cai Zonghan's team for successfully defending their championship in the 11th BioASQ competition's Biomedical Semantic Question Answering task. Congratulations to my team for another outstanding performance! In the 11th BioASQ competition's Biomedical Semantic Question Answering task (Phase B), we successfully defended our Ideal Answers championship, following our victories in 2020, 21, and 22, reaffirming our team's position in biomedical text semantic analysis! In this competition, we faced excellent teams from around the world, including Fudan University, Macquarie University in Australia, Regensburg University in Germany, University of Aveiro in Portugal, Carnegie Mellon University (CMU) in the United States, University of California, San Diego (UCSD), Athens University of Economics and Business in Greece, Korea University of Technology, and Korea University, among others. Each team displayed outstanding capabilities. The task required participating systems to automatically provide appropriate answers based on biomedical questions and relevant paper retrieval segments. Experts in the field evaluated the answers based on factors such as readability, recall, accuracy, and similarity to standard answers. Fortunately, our team once again received the highest ratings in these evaluation categories, confirming not only last year's excellent performance but also our ongoing efforts and improvement. Thanks to everyone who supported and encouraged us, and thanks to every team member for their hard work. We will continue to work hard, innovate, and make more breakthroughs in the field of biomedical semantic question answering! 🎉🏆🥇🍾​

​

• Congratulations to the lab's student Xiao Shi-Kai, You-Chen Ou, and Weng Xing-Yu from the Machine Intelligence & Automation Technology Lab won the Silver Award in "教育部全國大專校院人工智慧競賽(AI CUP 2023)春季賽「真相只有一個：事實文字檢索與查核」競賽". New!

​

• Congratulations to the lab's student You-Chen Ou won the Zhu Shun Yi He Qin Scholarshipㄝ2023! !  New! 

​

• Congratulations to the lab's members Connyn Kang-Lin Chang, Lydia Hsiao-Mei Lin, and Fang-Kai Ting, for having their paper accepted and winning the Best Conference Paper award in IEEE ICEIB 2023! !  New! 

​

• Congratulations! ! Our lab's members Andrew Yang won the Special Jury Prize in "第二屆保誠創新智造所黑客松"! !  New! 

  • Team Name: i 偵探

​

• Congratulations to the lab's student Shu-Xian Chen, Yu-Sin Liu, and Yi-Hsuan Lin won the masterpiece in "教育部全國大專校院人工智慧競賽(AI CUP 2022)：自然語言理解的解釋性資訊標記競賽". New! 

​

• Congratulations to the lab's student Xiao Shi-Kai, Chun-Yu Hsueh, and You-Chen Ou won the Silver Award, Student Creative Award, and TrendMicro Student Internship Award in "教育部全國大專校院人工智慧競賽(AI CUP 2022)：自然語言理解的解釋性資訊標記競賽". New! 

​

• Congratulations to the lab's member Sin-En Lu, Bo-Han Lu and Zhao-Yi Lu's paper "Exploring Methods for Building Dialects-Mandarin Code-Mixing Corpora: A Case Study in Taiwanese Hokkien" was accepted by Findings of EMNLP 2022 ! New! 

​

• Congratulations to the lab's members Nanda Putri Romadhona, Sin-En Lu and Bo-Han Lu's long presentation "BRCC and SentiBahasaRojak: The First Bahasa Rojak Corpus for Pretraining and Sentiment Analysis Dataset" was accepted by COLING2022 ! New! 

​

• Congratulations to the lab's member Sin-En Lu won the 第二十二屆中華民國計算語言學學會碩士論文獎 ! ! 

​

• Congratulations to the lab's student J.Y Chao's long presentation "Named Entity Disambiguation for the Qing Shilu without Manually Labeled Data" was accepted by DH2022 ! 

​

• Congratulations to the lab's members Hsin-Yi Hsieh and You-Jun Chen's long presentation "A Novel Semi-supervised Framework to Identify Military Documents: A Quantitative Analysis on Military Records in Ming Shi-Lu" was accepted by DH2022 ! 

​

• Congratulations to the lab's member Jia-Ming Huang's paper "A Novel Semi-supervised Framework to Identify Military Documents: A Quantitative Analysis on Military Records in Ming Shi-Lu " was accepted by AAAI-21 Student Abstract and Poster Program ! 

​

• Congratulations ! ! Our lab's members Yu Zhang, J.K. Lee and Jen-Chieh Han won the first place in "Task3 : Biocreative VII" ! 

  • Professor Cai Zonghan's team won the first place in the BioCreative VII "International Biomedical Literature Automatic Exploration Competition" Professor Cai Zonghan from the Department of Engineering and Engineering, Central University, led laboratory members Zhang Yu, Li Zhonggang, and research assistant Han Renqi to participate in the BioCreative VII held in 2021 In the "International Biomedical Literature Automatic Exploration Competition", won the first place in the project of "Automatic Extraction of Drug Names in Twitter Texts". The competition is the most important international competition for biomedical information extraction. Since 2004, seven competitions have been held, providing reference materials and an evaluation environment for the development of text mining technology. The organizers of this year include the University of Delaware, the Barcelona Supercomputing Center, and the National Center for Biotechnology Information (NCBI). The "Automatic extraction of medication names in tweets" project of this competition is provided by the famous Health Language Processing Lab (Health Language Processing Lab) of the University of Pennsylvania in charge of providing data and evaluation methods, a total of 16 teams participating in this competition, including research teams from Harvard Medical School, Huida Corporation (NVIDIA), Florida State University, Roche Pharmaceutical Company and other institutions. Social media such as Twitter are widely used by the general public, and some of the content is related to health and medical topics, including medication habits, drug side effects, and epidemic diseases. Mining health information from social media content will help understand population health and assist in medical assessment. However, because social media texts are usually colloquial (even using a lot of abbreviations and Internet-specific words), and Twitter has restrictions on the length of text, it is a difficult challenge to identify medical and health-related content through traditional methods. Therefore, the project "Automatically Extract Drug Names from Twitter Texts" expects participating teams to develop a system that can automatically identify whether tweets contain drug names, and accurately mark where the drug names appear in the sentence. The results of this task will help in the follow-up analysis of issues such as drug side effects and drug use status in a large population. Prof. Cai's team applied the most advanced pre-trained language model, combined with the data-centric AI method, and achieved the highest scores in the two most important evaluation indicators (Strict F1 and Overlapping F1) of the project. This score also exceeds the latest method published by the competition organizers last year. The system description paper written by the laboratory team was invited by the conference and presented orally in the early morning of August 9, Taiwan time. The team looks forward to continuing to develop new methods based on the experience of this competition to help solve problems in the field of biomedicine. Competition URL:

​

• Congratulations to Jung-Yi Tsai and You-Jun Chen's, members of the dh group of the Academia Sinica in our laboratory, for their paper "Design and Construction of the Spatiotemporal Information Platform for the Interpretation of ShiJi" for being accepted by the Pacific Neighbors Association (PNC) ! !
   

• Congratulations to the lab's students In-Zu Gi and Ting-Yu Fang's paper "Verdict Inference with Claim and Retrieved Elements Using RoBERTa" was accepted by Fact Extraction and Verification Workshop (FEVER - Co-located with EMNLP 2021) ! 
   

• Congratulations ! ! Our lab's members Yu Zhang and Jen-Chieh Han won the first place in "Task 9b: Biomedical Semantic QA" ! 

  • Successfully defended! Professor Cai Zonghan guided the team to participate in the 9th BioASQ International Artificial Intelligence Biomedical Field Competition and won the first place again! Professor Cai Zonghan instructed the IISR laboratory's biomedical team master student Zhang Yu and research assistant Han Renchi to participate in the 9th BioASQ (BIOASQ large-scale biomedical semantic indexing and question answering competition) in the Biomedical Linguistic Question and Answer Project (Task 9b: Biomedical) Semantic QA) won the first place in Batch 4 and Batch 5 Ideal Answers again! Previously, Professor Cai Zonghan's team also won the first place in the same project in the 8th BioASQ competition. BioASQ is co-sponsored by the "Democritus" Multidisciplinary Research Center in Greece, the Barcelona Supercomputer Center in Spain and other units. sponsor. The task that Professor Cai Zonghan supervised the team involved was to automatically give appropriate answers based on biomedical questions and relevant paper retrieval fragments. Domain experts rated the answers given by each team on four aspects: readability, recall rate, accuracy, and repetition rate with standard answers. Participating teams include related laboratories at Korea University, Macquarie University in Australia, University of California at San Diego, and University of Lisbon in Portugal. Th​e IISR laboratory team's average score in the four areas not only ranks first among all participating teams, but also has a slight improvement compared to last year, indicating that the system improvement has been effective.​ Scoreboard : http://participants-area.bioasq.org/results/9b/phaseB/​
     

• Congratulations to the lab's student Jo-Yu Chao reached pre-standard in "AI CUP 2021(醫病訊息決策與對話語料分析競賽競賽春季賽：醫病決策預判與問答競賽)". 
   

• Congratulations to the lab's member Alison reached pre-standard in "AI CUP 2021(醫病訊息決策與對話語料分析競賽競賽春季賽：醫病決策預判與問答競賽)". 
   

• Congratulations ! ! Our lab's members Jung-Yi Tsai and You-Jun Chen's paper "Construction of ShiJi Spatiotemporal Information Platform on the Framework of Research-oriented Knowledge Bases" was accepted by DH important international conference JADH with an average of 4 points from all aspects ! 
   

• Congratulations to the lab's student Roy Tu won the third place in "教育部全國大專校院人工智慧競賽(AI CUP 2021)醫病訊息決策與對話語料分析競賽競賽春季賽：醫病決策預判與問答競賽". 
   

• Congratulations to our lab's student Zhang Yu's paper 「中國網路審查作為公開文本的維護機制」 was accepted by 2021台灣資訊社會研究學會年會暨論文研討會 ! 
   

• Congratulations ! ! Professor Richard Tzong-Han Tsai, our lab's students Zhang Yu and Jen-Chieh Han's paper "NCU-IISR/AS-GIS: Results of Various Pre-trained Biomedical Language Models and Linear Regression Model in BioASQ Task 9b Phase B".  
   

• Congratulations to our lab's student Jo-Yu Chao's paper 「無需人工標註資料之清實錄人名實體鏈接方法」 was accepted by DADH ! 
   

• Congratulations to the lab's students In-Zu Gi and Ting-Yu Fang won the third place in "Fact Extraction and VERification Over Unstructured and Structured information shared task". 
   

• Congratulations to the IISR team for another achievement in low-resource machine translation, which was accepted by the Q1 journal Computer Speech & Language in areas such as Human Computer Interaction/Software!

  • This time we have to challenge the transliteration of Chinese words into Korean words. If there is this system, you should tell your Korean friends that the popular drama in Taiwan is called "斯卡羅", and you can use our system to transliterate "斯卡羅" into "스카로". In the field of machine translation, the amount of training materials determines the effectiveness of the translation system to a large extent. In this case, transliteration is even more difficult. Everyone knows that there are many pairs of transliterated words in Chinese to English and Korean to English, but very few Chinese to Korean. Therefore, the effect of directly training the model with Chinese-Korean pairing is not good. then what should we do? Based on this idea, we use English as a bridging language and combine the Chinese-English and English-Korean transliteration word pairing data sets. With the transfer learning method we designed, the translation system can use these two Learn how to transliterate Chinese words into Korean words with matching materials in two languages. We think that after the completion of Transfer Learning, when the translation system encounters a novel Chinese word fragment, the system can figure out which English word fragment is similar to which learned English word fragment, and this English word fragment may also be similar to a learned English word fragment. Korean word fragments, so the possibility of correct transliteration is greatly improved.  
     

• Congratulations to our lab's students Crystal Chiu's paper "Multi-modal User Intent Classification Under the Scenario of Smart Factory" was accepted by "AAAI-21 Student Abstract and Poster Program".  

• Congratulations to the lab's student Jerry Wang won the masterpiece in "2021 智慧農業數位分身創新競賽". 

• Congratulations to the lab's student D.N. Lin won the 1091 semester book award !   

• Congratulations to the lab's students  Zhang Yu and Tzu-Chien Tu won the masterpiece in AI CUP 2020 "醫病訊息決策與對話語料分析競賽 - 秋季賽：醫病資料去識別化".  

• Congratulations to the lab's students Jerry Wang won the masterpiece in AI CUP 2020 "和弦辨識競賽". 

• Congratulations to the lab's students X.E. Lu won the first place in "LegalTech Hackathon 2020". 

• Congratulations ! ! Professor Richard Tzong-Han Tsai and our lab's students J.C. Han's paper "NCU-IISR: Pre-trained Language Model for CANTEMIST Named Entity Recognition" 'working note' was accepted by "CANTEMIST workshop". 

• Congratulations to the lab's students J.C. Han won the first place in BioASQ Task 8b Phase B "Test Batch 5 Ideal Answers". 

• Congratulations to our lab's students J.C. Han's paper "NCU-IISR: Using a Pre-trained Language Model and Logistic Regression Model for BioASQ Task 8b Phase B" was accepted by "BioASQ workshop". 

• Congratulations ! ! Professor Richard Tzong-Han Tsai and our lab's students Po-Ting Lai, J.C. Han's paper "Using a Large Margin Context-Aware Convolutional Neural Network to Automatically Extract Disease-Disease Association from Literature: Comparative Analytic Study" was accepted by "Journal of Medical Internet Research". 

• Congratulations to the lab's students Zheng-Lun Lee and Alex Chen won masterpiece in AI CUP 2019 "人工智慧論文機器閱讀競賽之論文標註". 

• Congratulations to the lab's students JK Lee and Jyue-Ni Huang won first place and second place respectively in AI CUP 2019 "Biology Research Paper Automatic Analysis".

• Congratulations to the lab's students Chia-Min Chuang won masterpiece in AI CUP 2019 "新聞立場檢索技術獎金賽". 

• Congratulations ! ! Professor Richard Tzong-Han Tsai and our lab's students Ming-Siang Huang, Po-Ting Lai, Pei-Yen Lin, Yu-Ting You, and Wen-Lian Hsu's paper "Biomedical Named Entity Recognition and Linking Datasets: Survey and Our Recent Development" was accepted by "Briefings in Bioinformatics".

• Congratulations to our lab team "Hello Ween!" won "Most Potential Award" in "News Standpoint Search Prize Competition" in AI CUP 2019 for developing "KnewsMore - News Standpoint Search Platform".

• Congratulations to the lab's students Po-Ting Lai and Joy Han's paper "Automatically Extracting Disease-Disease Association from Literature with a Large Margin Context-Aware Convolutional Neural Network" was accepted by Journal of Medical Internet Research.

• Congratulations to the lab's student Cheng-Han Wu 's paper "Climate Event Classification Based on Historical Meteorological Records and Its Presentation on A Spatio-Temporal Research Platform" was accepted by DH2019. 

• Congratulations to the lab's student Yi-Hsuan Lu's paper "Event Extraction on Classical Chinese Historical Texts: A Case Study of Extracting Tributary Events from the Ming Shilu" was accepted by DH2019. 

• How to fetch events from historical documents？ Mr. Tzong-Han Tsai is going to present a paper in "Digital Humanities Conference" in Netherlands (7/9-7/12). 

• Congratulations to the lab's students Chun-Kai Wu, Yu-Cheng Hsiao, and Chia-Hao Chen's paper "USING DEEP-Q NETWORK TO SELECT CANDIDATES FROM N-BEST SPEECH RECOGNITION HYPOTHESES FOR ENHANCING DIALOGUE STATE TRACKING" was accepted by ICASSP 2019. 

• Congratulations to the lab's master student Li Zhehao and Chen Ziyi's paper "Automatic Question Generation from Children's Stories for Companion Chatbots" was invited to expand the length of the book !

• Congratulations to the doctor's paper "Cross-language Article Linking Using Cross-Encyclopedia Entity Embedding", which is accepted by the laboratory's doctoral student, Wu Junyi.

• Congratulations to the laboratory student Ye Shiwei won the 1061 semester book award !

• Congratulations to the research team of Professor Cai Zonghan from the Department of Capital Engineering of the Central University for the first place in the BioCreAtIvE V.5 International Molecular Biology Competition "Gene and Protein Related Object Recognition" project !

• The IISR research team led by Mr. Cai Zonghan from the Department of Information Engineering of the Central University, in cooperation with the IASL research team of the Institute of Information Technology, participated in the BioCreative V.5 International Molecular Biology Competition held in Barcelona, ​​Spain in 2017. The “identification” project won the first place. The participating teams include top teams from Harbin Institute of Technology, Dalian University of Technology, Frankfurt University and Europe.

  • Gene and protein-related research results are extremely important for biomedical personnel. In the previous studies on gene and protein name identification, the main purpose was to identify the gene and protein related words in the biomedical abstract. However, among these large names of genes and proteins, only the names that can be linked to open biomedical databases (for example, EntrezGene or UniProt) are really meaningful information for biomedical researchers. Therefore, the main purpose of the "Gene and Protein Related Object Recognition" project is to identify important gene and protein names from the title and abstract of the patent literature. The research team used a new approach (statistical criteria model), which is a template-based machine learning approach that identifies genes at high recall rates (with the highest recall rate and F-Score across all teams). Protein related objects. The conditional random domain model is used to learn and fine tune the boundaries of the distinguished names based on the corpus provided by the competition. Won the first place in the competition.

• Congratulations to the graduate student of the Ministry of Science and Technology of the Department of Science and Technology, and the student program of the Ministry of Science and Technology of Cai Zhengyi, who received the monthly research grant.

• Congratulations to the students of the laboratory, Huang Shizhen, who were selected to participate in the special exhibition of the series, and received the opportunity to exchange ideas with the Tokyo Metropolitan University in Tokyo.

• Congratulations! ! The laboratory's digital humanities group paper "WeisoEvent: A Ming-Weiso Event Analytics Tool with Named Entity Markup and Spatial-Temporal Information Linking" was accepted by the International Digital Humanities Top Seminar DH 2017! !

• Congratulations to the team's (Wu Junyi, Zhuang Zhiyu, Shi Chaoquan, Huang Shizhen) research and development of personalized chat robots invited by the "Intel Asia Innovation Summit 2016", the following reports:

• Guo Dong elected president? How to say "Troppu" chat robot developed by Taiwan University (2016.11.16)

• Intel Asia Innovation Summit Showcases Multi-Party Team Work on IoT and Pioneer Technology (2016.11.16)

• Congratulations to the research team members Wang Hao and Wu Junyi's paper "Cross-language article linking with different knowledge bases using bilingual topic model and translation features" accepted by the journal Knowledge-Based Systems 2016! !

• Congratulations to the research team members Xiao Youcheng and Lai Baiting's paper "NERChem: Adapting NERBio to Chemical Patents via Full-token Features and Named Entity Feature with Chemical Sub-Class Composition" accepted by the journal DATABASE 2016! !

• Congratulations! ! The student of the laboratory of the laboratory, Xie Yiwen, won the masterpiece of the "Special Experimental Competition of the University of the Ministry of Finance for the Second Semester of the 103th Year"! !

• Congratulations! ! The research team won the first place in the 2014 MobileC Action Search Contest held by the National Institute of Intelligence in Japan for the 2014 NTCIR-11 Search Evaluation Seminar! !

• Congratulations to the research team's paper "Cross-language and Cross-encyclopedia Article Linking Using Mixed-language Topic Model and Hypernym Translation" accepted by Natural Language Processing Top Conference ACL 2014! !

• Congratulations! ! The labs of Chen Baiyu, Zhang Jialu, Wu Hao and Zhong Guanjie won the first place in the 2013 "HackGen Hacker Generation Hacker" competition! !

• Congratulations to our laboratory, Mr. Xie Changhong, who won the "Excellent Teaching Assistant" of the 101st academic year of the school! !

• Congratulations! ! The student of the university's special subject, Wenpin Zhu (the team name "噗哧") won the second place in the "101 Annual Cloud Computing and Service Special Achievement Competition"! !

• Congratulations! ! The graduate student of the laboratory, Lu Wei, won the first place in the "Special Production & Creative Conceptual Product Competition Poster Release"! !

• Congratulations! ! The laboratory's Zheng Xiaoyuan, Lin Guanxi and Wu Jien (now studying at Taida Net Media) won the second place in Yahoo! Open Hack Taiwan 2012 and the best investment value award! !

• Congratulations! ! Professor Cai Zonghan's doctoral thesis was awarded the first prize of the "12th Master's Thesis Award" of the Chinese Society of Computational Linguistics! !

• Congratulations! ! Professor Cai Zonghan's paper "Negative Textual Entailment Recognition Using Online Co-Mention Pattern Checking" received the top journal of natural language processing ACM Transactions on Asian Language Information Processing (TALIP) accepted! !

• Congratulations to the lab Lai Guohao and Wu Jien, who are members of the Fidelity Honor Society! !

• Congratulations to the laboratory of Zheng Yiyuan for admission to YAHOO! Students from Inter Milan, Lin Guanxi and Sisiliany Putri Sinarta admitted to the Institute of Intern! !

• Congratulations to the teacher of the laboratory, Professor Cai Zonghan, who won the "Tenth Outstanding Professor Award"! !

• Congratulations to Cai Yilin, a special student at the University of the University, for obtaining a national plan for the National Science Council! !

• Congratulations to Wu Junyi, a student of this lab, who defeated CMU, Yahoo! Japan, and Japan's NICT, and won the first place in the NEWS 2012 English-to-Korean evaluation! ! ! !

• Congratulations to our laboratory, Zheng Xiaoyuan, who won the "Excellent Teaching Assistant" for the 100th academic year of the school! !

• Congratulations to the "NEWS 2011 Shared task on transliteration generation" sponsored by the Institute's Institute for InfoComm Research (I2R): English-Chinese translation project ( English to Korean Hangul, EnKo), achieved the first place! !

• Congratulations to the research team's paper "Entity Disambiguation Using a Markov-Logic Network" accepted by the natural language processing top conference IJCNLP 2011! !

• Congratulations to the research team's paper "Enhancing PubMed Search Results with Semantic Annotation Using Augmented Browsing" accepted by the artificial wisdom top conference IJCAI 2011! !

• Congratulations! Wu Jien and Qiu Yunhan, the special students of the university, won the National Science and Technology College Student Program! !

• Congratulations to our lab, Lai Zhengyou, who won the "Excellent Teaching Assistant" for the 99th academic year of the school! !

• Congratulations to Lai Zhengyou and Cai Weiqi of the laboratory for admission to Trend Micro R&D, Chen Hongyi accepted the KKBox R&D alternative service! !

• Congratulations to Professor Cai Zonghan, Associate Professor Rong Sheng! !

• Congratulations to Professor Cai Zonghan for winning the "Outstanding Award of 98 Years Teacher Evaluation Research of Yuanzhi University"! !

• Congratulations to the lab team for participating in the "BioCreAtIvE-III Biomedical Literature Exploration Competition" and winning the second place in the Gene Normalization project! !

• Congratulations to the research team members Dai Hongjie and Lai Baiting's papers for the Coling 2010 conference! !

• Congratulations to our lab team for participating in the second round of the 2009 International Information Search and Evaluation Conference (NTCIR-MOAT) search technology.

• Congratulations to the teacher of the laboratory, Professor Cai Zonghan, who was awarded the “Year of the 98th Annual Young Research Scholar Award by Yuanzhi University”

•  

• Congratulations to the researcher Xu Wenlian and the team of Cai Zonghan from the Academia Sinica for participating in the "International Molecular Biology Literature Search Competition" to win the protein noun search championship! !