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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Welcome to Yiping's Homepage!
About me
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Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
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publications
Mining Scientific Terms and their Definitions: A Study of the ACL Anthology
Published in Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2013), 2013
Recommended citation: Yiping Jin, Min-Yen Kan, Jun-Ping Ng and Xiangnan He (2013). Mining Scientific Terms and their Definitions: A Study of the ACL Antholog y. Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2013). Seattle, USA. https://www.aclweb.org/anthology/D13-1073/
Selecting Domain-Specific Concepts for Question Generation With Lightly-Supervised Methods
Published in Proceedings of the 9th International Natural Language Generation Conference (INLG), 2016
Download here
Combining Lightly-Supervised Text Classification Models for Accurate Contextual Advertising
Published in Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP 2017), 2017
Download here
Bridging the Gap between Research and Production with CODE
Published in Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2019), 2019
- Download manuscript here (The final publication is available at http://link.springer.com)
Recommended citation: Yiping Jin, Dittaya Wanvarie, Phu Le (2019). Bridging the Gap between Research and Production with CODE. In Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2019). Macau, China. https://link.springer.com/chapter/10.1007/978-3-030-16142-2_22
Learning Only from Relevant Keywords and Unlabeled Documents
Published in Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2020
Recommended citation: Charoenphakdee, Nontawat, et al. "Learning Only from Relevant Keywords and Unlabeled Documents." Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019. https://www.aclweb.org/anthology/D19-1411.pdf
Learning From Noisy Out-of-Domain Corpus Using Dataless Classification
Published in Natural Language Engineering, Cambridge University Press, 2020
- Download paper here (as allowed by Cambridge University Press self-archiving policy)
- Download dataset here
Recommended citation: Yiping Jin, Dittaya Wanvarie, Phu Le (2019). Learning From Noisy Out-of-Domain Corpus Using Dataless Classification. Natural Language Engineering. Cambridge University Press, UK. https://doi.org/10.1017/S1351324920000340
Towards Improving Coherence and Diversity of Slogan Generation
Published in Natural Language Engineering, Cambridge University Press, 2022
- Download paper here (as allowed by Cambridge University Press self-archiving policy)
- Download dataset here
Recommended citation: Yiping Jin, Akshay Bhatia, Dittaya Wanvarie, Phu T.V. Le (In press). Towards Improving Coherence and Diversity of Slogan Generation. Natural Language Engineering. Cambridge University Press, UK. https://doi.org/10.1017/S1351324921000474
talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Deep Learning
Undergraduate course, Chulalongkorn University, Department of Mathematics and Computer Science, 2019
Design and conduct lab sessions on various topics on deep learning.
Modern Machine Learning
Graduate course, Chulalongkorn University, Department of Mathematics and Computer Science, 2019
Design and conduct lab sessions on various topics on machine learning.