Lifeng Han

Orcid: 0000-0002-3221-2185

According to our database1, Lifeng Han authored at least 50 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Neural machine translation of clinical text: an empirical investigation into multilingual pre-trained language models and transfer-learning.
Frontiers Digit. Health, 2024

DeIDClinic: A Multi-Layered Framework for De-identification of Clinical Free-text Data.
CoRR, 2024

INSIGHTBUDDY-AI: Medication Extraction and Entity Linking using Large Language Models and Ensemble Learning.
CoRR, 2024

LLM-CARD: Towards a Description and Landscape of Large Language Models.
CoRR, 2024

Generating Synthetic Free-text Medical Records with Low Re-identification Risk using Masked Language Modeling.
CoRR, 2024

Synthetic4Health: Generating Annotated Synthetic Clinical Letters.
CoRR, 2024

BeeManc at the PLABA Track of TAC-2023: Investigating LLMs and Controllable Attributes for Improving Biomedical Text Readability.
CoRR, 2024

A Comparative Study on Automatic Coding of Medical Letters with Explainability.
CoRR, 2024

Exploration of Masked and Causal Language Modelling for Text Generation.
CoRR, 2024

CANTONMT: Investigating Back-Translation and Model-Switch Mechanisms for Cantonese-English Neural Machine Translation.
CoRR, 2024

CantonMT: Cantonese to English NMT Platform with Fine-Tuned Models Using Synthetic Back-Translation Data.
CoRR, 2024

Investigating Large Language Models and Control Mechanisms to Improve Text Readability of Biomedical Abstracts.
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

CantonMT: Cantonese to English NMT Platform with Fine-Tuned Models using Real and Synthetic Back-Translation Data.
Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1), 2024

MTUncertainty: Assessing the Need for Post-editing of Machine Translation Outputs by Fine-tuning OpenAI LLMs.
Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1), 2024

The Multi-Range Theory of Translation Quality Measurement: MQM scoring models and Statistical Quality Control.
Proceedings of the 16th Conference of the Association for Machine Translation in the Americas, 2024

CantonMT: Cantonese-English Neural Machine Translation Looking into Evaluations.
Proceedings of the 16th Conference of the Association for Machine Translation in the Americas, 2024

2023
Generating Medical Instructions with Conditional Transformer.
CoRR, 2023

Large Language Models and Control Mechanisms Improve Text Readability of Biomedical Abstracts.
CoRR, 2023

MedMine: Examining Pre-trained Language Models on Medication Mining.
CoRR, 2023

Predicting Perfect Quality Segments in MT Output with Fine-Tuned OpenAI LLM: Is it possible to capture editing distance patterns from historical data?
CoRR, 2023

AlphaMWE-Arabic: Arabic Edition of Multilingual Parallel Corpora with Multiword Expression Annotations.
Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023

Student's t-Distribution: On Measuring the Inter-Rater Reliability When the Observations are Scarce.
Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023

Topic Modelling of Swedish Newspaper Articles about Coronavirus: a Case Study using Latent Dirichlet Allocation Method.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Towards Principles of Ontology-Based Annotation of Clinical Narratives.
Proceedings of the International Conference on Biomedical Ontologies 2023 together with the Workshop on Ontologies for Infectious and Immune-Mediated Disease Data Science (OIIDDS 2023) and the FAIR Ontology Harmonization and TRUST Data Interoperability Workshop (FOHTI 2023), Brasília, Brazil, August 28, 2023

"Information Talent" Sharing Program: Discussion on an Assistant Form of Interdisciplinary Information Literacy Education.
Proceedings of the IEEE Frontiers in Education Conference, 2023

Extraction of Medication and Temporal Relation from Clinical Text using Neural Language Models.
Proceedings of the IEEE International Conference on Big Data, 2023

Exploring the Value of Pre-trained Language Models for Clinical Named Entity Recognition.
Proceedings of the IEEE International Conference on Big Data, 2023

MedTem2.0: Prompt-based Temporal Classification of Treatment Events from Discharge Summaries.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2023

Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer Learning.
Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022
HilMeMe: A Human-in-the-Loop Machine Translation Evaluation Metric Looking into Multi-Word Expressions.
CoRR, 2022

On Cross-Domain Pre-Trained Language Models for Clinical Text Mining: How Do They Perform on Data-Constrained Fine-Tuning?
CoRR, 2022

Using Massive Multilingual Pre-Trained Language Models Towards Real Zero-Shot Neural Machine Translation in Clinical Domain.
CoRR, 2022

An Overview on Machine Translation Evaluation.
CoRR, 2022

Recommendation Model Based on Probabilistic Matrix Factorization, Integrating User Trust Relationship, Interest Mining, and Item Correlation.
IEEE Access, 2022

Examining Large Pre-Trained Language Models for Machine Translation: What You Don't Know about It.
Proceedings of the Seventh Conference on Machine Translation, 2022

Measuring Uncertainty in Translation Quality Evaluation (TQE).
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

HOPE: A Task-Oriented and Human-Centric Evaluation Framework Using Professional Post-Editing Towards More Effective MT Evaluation.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

2021
CushLEPOR: Customised hLEPOR Metric Using LABSE Distilled Knowledge Model to Improve Agreement with Human Judgements.
CoRR, 2021

Translation Quality Assessment: A Brief Survey on Manual and Automatic Methods.
CoRR, 2021

cushLEPOR: customising hLEPOR metric using Optuna for higher agreement with human judgments or pre-trained language model LaBSE.
Proceedings of the Sixth Conference on Machine Translation, 2021

Chinese Character Decomposition for Neural MT with Multi-Word Expressions.
Proceedings of the 23rd Nordic Conference on Computational Linguistics, 2021

2020
Enhancing student participation in information literacy course based on Rain Classroom: a case study.
Libr. Hi Tech, 2020

AlphaMWE: Construction of Multilingual Parallel Corpora with MWE Annotations.
Proceedings of the Joint Workshop on Multiword Expressions and Electronic Lexicons, 2020

MultiMWE: Building a Multi-lingual Multi-Word Expression (MWE) Parallel Corpora.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

2018
Apply Chinese Radicals Into Neural Machine Translation: Deeper Than Character Level.
CoRR, 2018

2017
LEPOR: An Augmented Machine Translation Evaluation Metric.
CoRR, 2017

Detection of Verbal Multi-Word Expressions via Conditional Random Fields with Syntactic Dependency Features and Semantic Re-Ranking.
Proceedings of the 13th Workshop on Multiword Expressions, 2017

2013
Marketing via social media: a case study.
Libr. Hi Tech, 2013

2011
Study on Packaging Technology of Small-Type FED Panel with Cold Field Emitter.
Proceedings of the Advances in Computer Science, 2011

Research on the Fabrication of Integrative Insulator Rib for Field Emission Display Panel.
Proceedings of the Advances in Computer Science, 2011


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