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En-Shiun Annie Lee
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2020 – today
- 2024
- [c20]Bo-Han Lu, Yi-Hsuan Lin, En-Shiun Annie Lee, Richard Tzong-Han Tsai:
Enhancing Taiwanese Hokkien Dual Translation by Exploring and Standardizing of Four Writing Systems. LREC/COLING 2024: 6077-6090 - [c19]David Ifeoluwa Adelani, Hannah Liu, Xiaoyu Shen, Nikita Vassilyev, Jesujoba O. Alabi, Yanke Mao, Haonan Gao, En-Shiun Annie Lee:
SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects. EACL (1) 2024: 226-245 - [c18]Eric Khiu, Hasti Toossi, Jinyu Liu, Jiaxu Li, David Anugraha, Juan Armando Parra Flores, Leandro Acros Roman, A. Seza Dogruöz, En-Shiun Annie Lee:
Predicting Machine Translation Performance on Low-Resource Languages: The Role of Domain Similarity. EACL (Findings) 2024: 1474-1486 - [c17]En-Shiun Annie Lee
, Luki Danukarjanto
, Sadia Sharmin
, Shou-Yi Hung
, Sicong Huang
, Tong Su
:
Exploring Student Motivation in Integration of Soft Skills Training within Three Levels of Computer Science Programs. SIGCSE (1) 2024: 708-714 - [i11]Eric Khiu, Hasti Toossi, David Anugraha, Jinyu Liu, Jiaxu Li, Juan Armando Parra Flores, Leandro Acros Roman, A. Seza Dogruöz, En-Shiun Annie Lee:
Predicting Machine Translation Performance on Low-Resource Languages: The Role of Domain Similarity. CoRR abs/2402.02633 (2024) - [i10]Bo-Han Lu, Yi-Hsuan Lin, En-Shiun Annie Lee, Richard Tzong-Han Tsai:
Enhancing Hokkien Dual Translation by Exploring and Standardizing of Four Writing Systems. CoRR abs/2403.12024 (2024) - [i9]Tong Su, Xin Peng, Sarubi Thillainathan, David Guzmán, Surangika Ranathunga, En-Shiun Annie Lee:
Unlocking Parameter-Efficient Fine-Tuning for Low-Resource Language Translation. CoRR abs/2404.04212 (2024) - [i8]Hasti Toossi, Guo Qing Huai, Jinyu Liu, Eric Khiu, A. Seza Dogruöz, En-Shiun Annie Lee:
A Reproducibility Study on Quantifying Language Similarity: The Impact of Missing Values in the URIEL Knowledge Base. CoRR abs/2405.11125 (2024) - [i7]David Ifeoluwa Adelani, Jessica Ojo, Israel Abebe Azime, Jian Yun Zhuang, Jesujoba O. Alabi, Xuanli He, Millicent Ochieng, Sara Hooker, Andiswa Bukula, En-Shiun Annie Lee, Chiamaka Chukwuneke, Happy Buzaaba, Blessing K. Sibanda, Godson Kalipe, Jonathan Mukiibi, Salomon Kabongo, Foutse Yuehgoh, Mmasibidi Setaka, Lolwethu Ndolela, Nkiruka Odu, Rooweither Mabuya, Shamsuddeen Hassan Muhammad, Salomey Osei, Sokhar Samb, Tadesse Kebede Guge, Pontus Stenetorp:
IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models. CoRR abs/2406.03368 (2024) - [i6]David Anugraha, Genta Indra Winata, Chenyue Li, Patrick Amadeus Irawan, En-Shiun Annie Lee:
ProxyLM: Predicting Language Model Performance on Multilingual Tasks via Proxy Models. CoRR abs/2406.09334 (2024) - 2023
- [j6]Surangika Ranathunga
, En-Shiun Annie Lee
, Marjana Prifti Skenduli
, Ravi Shekhar
, Mehreen Alam
, Rishemjit Kaur
:
Neural Machine Translation for Low-resource Languages: A Survey. ACM Comput. Surv. 55(11): 229:1-229:37 (2023) - [c16]Malikeh Ehghaghi, Pei-Yuan Zhou, Wendy Yusi Cheng, Sahar Rajabi, Chih-Hao Kuo, En-Shiun Annie Lee:
Interpretable Disease Prediction from Clinical Text by Leveraging Pattern Disentanglement. BHI 2023: 1-7 - [i5]Shravan Nayak, Surangika Ranathunga, Sarubi Thillainathan, Rikki Hung, Anthony Rinaldi, Yining Wang, Jonah Mackey, Andrew Ho, En-Shiun Annie Lee:
Leveraging Auxiliary Domain Parallel Data in Intermediate Task Fine-tuning for Low-resource Translation. CoRR abs/2306.01382 (2023) - [i4]David Ifeoluwa Adelani, Hannah Liu, Xiaoyu Shen, Nikita Vassilyev, Jesujoba O. Alabi, Yanke Mao, Haonan Gao, En-Shiun Annie Lee:
SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects. CoRR abs/2309.07445 (2023) - 2022
- [c15]En-Shiun Annie Lee, Sarubi Thillainathan, Shravan Nayak, Surangika Ranathunga, David Ifeoluwa Adelani, Ruisi Su, Arya McCarthy:
Pre-Trained Multilingual Sequence-to-Sequence Models: A Hope for Low-Resource Language Translation? ACL (Findings) 2022: 58-67 - [i3]En-Shiun Annie Lee, Sarubi Thillainathan, Shravan Nayak
, Surangika Ranathunga, David Ifeoluwa Adelani, Ruisi Su, Arya D. McCarthy:
Pre-Trained Multilingual Sequence-to-Sequence Models: A Hope for Low-Resource Language Translation? CoRR abs/2203.08850 (2022) - 2021
- [c14]En-Shiun Annie Lee, Karthik Kuber, Hashmat Rohian, Sean Woodhead:
Pillars of Program Design and Delivery: A Case Study using Self-Directed, Problem-Based, and Supportive Learning. SIGCSE 2021: 205-211 - [i2]Surangika Ranathunga, En-Shiun Annie Lee, Marjana Prifti Skenduli, Ravi Shekhar, Mehreen Alam, Rishemjit Kaur:
Neural Machine Translation for Low-Resource Languages: A Survey. CoRR abs/2106.15115 (2021)
2010 – 2019
- 2019
- [i1]Mehrdad Valipour, En-Shiun Annie Lee, Jaime R. Jamacaro, Carolina Bessega:
Unsupervised Transfer Learning via BERT Neuron Selection. CoRR abs/1912.05308 (2019) - 2017
- [j5]En-Shiun Annie Lee, Ho-Yin Antonio Sze-To, Man Hon Wong, Kwong-Sak Leung, Terrence Chi-Kong Lau
, Andrew K. C. Wong:
Discovering Protein-DNA Binding Cores by Aligned Pattern Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 14(2): 254-263 (2017) - 2016
- [j4]En-Shiun Annie Lee, Fiona J. Whelan
, Dawn M. E. Bowdish
, Andrew K. C. Wong:
Partitioning and correlating subgroup characteristics from Aligned Pattern Clusters. Bioinform. 32(16): 2427-2434 (2016) - 2015
- [c13]Antonio Sze-To, Sanderz Fung, En-Shiun Annie Lee, Andrew K. C. Wong:
Predicting Protein-protein interaction using co-occurring Aligned Pattern Clusters. BIBM 2015: 55-60 - 2014
- [j3]En-Shiun Annie Lee, Sanderz Fung, Ho-Yin Sze-To, Andrew K. C. Wong:
Discovering co-occurring patterns and their biological significance in protein families. BMC Bioinform. 15(S-12): S2 (2014) - [j2]Andrew K. C. Wong, En-Shiun Annie Lee:
Aligning and Clustering Patterns to Reveal the Protein Functionality of Sequences. IEEE ACM Trans. Comput. Biol. Bioinform. 11(3): 548-560 (2014) - [c12]En-Shiun Annie Lee, Kwong-Sak Leung, Ho-Yin Sze-To, Terrence Chi-Kong Lau
, Man Hon Wong, Andrew K. C. Wong:
Discovering protein-DNA binding cores by aligned pattern clustering. BIBM 2014: 125-130 - 2013
- [c11]En-Shiun Annie Lee, Andrew K. C. Wong:
Classifying Proteins by Amino Acid Variations of Sequential Patterns. BCB 2013: 276 - [c10]En-Shiun Annie Lee:
Classifying Proteins by Amino Acid Variations of Sequence Patterns. BCB 2013: 659 - [c9]En-Shiun Annie Lee, Fiona J. Whelan
, Dawn M. E. Bowdish, Andrew K. C. Wong:
Characterizing Amino Acid Variations of Scavenger Receptors by Class Information Gain. BCB 2013: 818 - [c8]Sanderz Fung, En-Shiun Annie Lee, Andrew K. C. Wong:
Revealing Protein Structures by Co-Occurrence Clustering of Aligned Pattern Clusters. BCB 2013: 869 - [c7]Pei-Yuan Zhou
, En-Shiun Annie Lee, Andrew K. C. Wong:
Regrouping of pattern clusters to reveal characteristics of distinct classes and related classes. BIBM 2013: 55-61 - [c6]En-Shiun Annie Lee, Sanderz Fung, Ho-Yin Sze-To, Andrew K. C. Wong:
Confirming biological significance of co-occurrence clusters of aligned pattern clusters. BIBM 2013: 422-427 - 2012
- [j1]Andrew K. C. Wong, Dennis Zhuang, Gary C. L. Li, En-Shiun Annie Lee:
Discovery of Delta Closed Patterns and Noninduced Patterns from Sequences. IEEE Trans. Knowl. Data Eng. 24(8): 1408-1421 (2012) - [c5]En-Shiun Annie Lee, Andrew K. C. Wong:
Identifying protein binding functionality of protein family sequences by Aligned Pattern clusters. BIBM 2012: 1-6 - [c4]En-Shiun Annie Lee, Andrew K. C. Wong:
Identifying protein binding functionality of protein family sequences by aligned pattern clusters. BIBM Workshops 2012: 968-970 - [c3]En-Shiun Annie Lee, Dennis Zhuang, Andrew K. C. Wong:
Aligning Discovered Patterns from Protein Family Sequences. PRIB 2012: 243-254 - 2011
- [c2]En-Shiun Annie Lee, Andrew K. C. Wong:
Synthesizing Aligned Random Pattern Digraphs from protein sequence patterns. BIBM Workshops 2011: 178-185 - 2010
- [c1]Andrew K. C. Wong, Dennis Zhuang, Gary C. L. Li, En-Shiun Annie Lee:
Discovery of Non-induced Patterns from Sequences. PRIB 2010: 149-160
Coauthor Index
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last updated on 2024-08-05 20:24 CEST by the dblp team
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