Yow-Ting Shiue
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My name is Yow-Ting Shiue (薛祐婷).
I am a second-year Computer Science Ph.D. student in University of Maryland, College Park.
I am a member of the CLIP Lab, working with Prof. Marine Carpuat on machine translation for dialogues.
Before coming to UMD, I was a research associate in the Natural Language Processing Lab, National Taiwan University.
I also got my MS and BS from NTU.
I have research experience in both Natural Language Processing (NLP) and Information Retrieval (IR).
I conducted or participated in projects such as Chinese writing error detection and correction, incorporating lexical knowledge into word and sense embeddings, understanding crowd financial opinion, and open-domain concept attribute extraction from text.
My recent research interests include selecting more context to extend both machine and human understanding of text, and enabling communication of knowledge between human and machine via natural languages.
Honors
- Google Women Techmakers Scholar (Asia Pacific)
- Member of the Phi Tau Phi Scholastic Honor Society of the R.O.C
Peer-reviewed Conference Papers
- Ting-Yu Yen, Yang-Yin Lee, Yow-Ting Shiue, Hen-Hsen Huang, Hsin-Hsi Chen. 2020. MSD-1030: A Well-built Multi-Sense Evaluation Dataset for Sense Representation Models. In Proceedings of 12th Language Resources and Evaluation Conference (LREC 2020) (pp. 5802-5809).
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- Chung-Chi Chen, Hen-Hsen Huang, Yow-Ting Shiue, Hsin-Hsi Chen. 2018. Numeral Understanding in Financial Tweets for Fine-grained Crowd-based Forecasting. In 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2018) (pp. 136-143).
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- Yow-Ting Shiue, Hen-Hsen Huang, Hsin-Hsi Chen. 2018. Correcting Chinese Word Usage Errors for Learning Chinese as a Second Language. In Proceedings of COLING 2018, the 27th International Conference on Computational Linguistics (pp. 2410-2422).
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- Yang-Yin Lee, Ting-Yu Yen, Hen-Hsen Huang, Yow-Ting Shiue, Hsin-Hsi Chen. 2018. GenSense: A Generalized Sense Retrofitting Model. In Proceedings of COLING 2018, the 27th International Conference on Computational Linguistics (pp. 1662-1671).
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- Yow-Ting Shiue, Wei-Yun Ma. 2017. Improving Word and Sense Embedding with Hierarchical Semantic Relations. 2017 International Conference on Asian Language Processing (IALP 2017) (pp. 350-353).
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[ slides ]
- Yow-Ting Shiue, Hen-Hsen Huang, Hsin-Hsi Chen. 2017. Detection of Chinese Word Usage Errors for Non-Native Chinese Learners with Bidirectional LSTM. In Proceedings of 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017) (pp. 404-410).
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- Yow-Ting Shiue, Hsin-Hsi Chen. 2016. Detecting Word Usage Errors in Chinese Sentences for Learning Chinese as a Foreign Language. In Proceedings of 10th Language Resources and Evaluation Conference (LREC 2016) (pp. 220-224).
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Demo Papers
- Yow-Ting Shiue, Hen-Hsen Huang, Hsin-Hsi Chen. 2018. A Chinese Writing Correction System for Learning Chinese as a Foreign Language. In Proceedings of COLING 2018, the 27th International Conference on Computational Linguistics (pp. 137-141).
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Workshop / Shared Task Papers
- Yow-Ting Shiue, Hen-Hsen Huang, Hsin-Hsi Chen. 2018. NTU NLP Lab System at SemEval-2018 Task 10: Verifying Semantic Differences by Integrating Distributional Information and Expert Knowledge. In Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval 2018) (pp. 1027-1033).
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- Calvin Bao*, Yow-Ting Shiue*, Chujun Song, Jie Li, Marine Carpuat. 2020. The University of Maryland’s Submissions to the WMT20 Chat Translation Task: Searching for More Data to Adapt Discourse-Aware Neural Machine Translation. In Proceedings of the 5th Conference on Machine Translation (WMT 2020) (pp. 456-461).
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Thesis
- Yow-Ting Shiue. 2017. Detection and Correction of Chinese Word Usage Errors for Learning Chinese as a Second Language. National Taiwan University Master Thesis, Taipei, Taiwan.
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