En-Shiun Annie Lee

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 21

Top Topics

Machine Translation

Protein Interaction

Source Language

Comparable Corpora

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

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 (2024)
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)
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 (2024)
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 (2024)
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)
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 (2024)
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 (2024)
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)
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)
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 (2024)
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 (2023)
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)
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 (2023)
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) (2023)
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)
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 (2022)
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 (2021)
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)
Mehrdad Valipour, En-Shiun Annie Lee, Jaime R. Jamacaro, Carolina Bessega
Unsupervised Transfer Learning via BERT Neuron Selection. CoRR (2019)
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) (2017)
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) (2016)
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)
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) (2014)
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)
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) (2014)
Sanderz Fung, En-Shiun Annie Lee, Andrew K. C. Wong
Revealing Protein Structures by Co-Occurrence Clustering of Aligned Pattern Clusters. BCB (2013)
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)
En-Shiun Annie Lee, Andrew K. C. Wong
Classifying Proteins by Amino Acid Variations of Sequential Patterns. BCB (2013)
En-Shiun Annie Lee
Classifying Proteins by Amino Acid Variations of Sequence Patterns. BCB (2013)
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)
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)
En-Shiun Annie Lee, Dennis Zhuang, Andrew K. C. Wong
Aligning Discovered Patterns from Protein Family Sequences. PRIB (2012)
En-Shiun Annie Lee, Andrew K. C. Wong
Identifying protein binding functionality of protein family sequences by aligned pattern clusters. BIBM Workshops (2012)
En-Shiun Annie Lee, Andrew K. C. Wong
Identifying protein binding functionality of protein family sequences by Aligned Pattern clusters. BIBM (2012)
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) (2012)
En-Shiun Annie Lee, Andrew K. C. Wong
Synthesizing Aligned Random Pattern Digraphs from protein sequence patterns. BIBM Workshops (2011)
Andrew K. C. Wong, Dennis Zhuang, Gary C. L. Li, En-Shiun Annie Lee
Discovery of Non-induced Patterns from Sequences. PRIB (2010)