Research on the Fabrication of Integrative Insulator Rib for Field Emission Display Panel. - Qiang Li; Yan Dong; Guangjie Tao; Jingjie Yan; Lifeng Han (CSISE (3), 2011)

Study on Packaging Technology of Small-Type FED Panel with Cold Field Emitter. - Dong Yan; Li Qiang; Zhao Feng; Lifeng Han (CSISE (1), 2011)

Marketing via social media: a case study. - Lili Luo; Yuan Wang; Lifeng Han (Libr. Hi Tech, 2013)

Detection of Verbal Multi-Word Expressions via Conditional Random Fields with Syntactic Dependency Features and Semantic Re-Ranking. - Alfredo Maldonado; Lifeng Han; Erwan Moreau; Ashjan Alsulaimani; Koel Dutta Chowdhury; Carl Vogel; Qun Liu 001 (MWE@EACL, 2017)

LEPOR: An Augmented Machine Translation Evaluation Metric. - Lifeng Han (CoRR, 2017)

Apply Chinese Radicals Into Neural Machine Translation: Deeper Than Character Level. - Shaohui Kuang; Lifeng Han (CoRR, 2018)

MultiMWE: Building a Multi-lingual Multi-Word Expression (MWE) Parallel Corpora. - Lifeng Han; Gareth J. F. Jones; Alan F. Smeaton (LREC, 2020)

AlphaMWE: Construction of Multilingual Parallel Corpora with MWE Annotations. - Lifeng Han; Gareth J. F. Jones; Alan F. Smeaton (MWE-LEX, 2020)

Enhancing student participation in information literacy course based on Rain Classroom: a case study. - Lifeng Han; Zhenbo Lu (Libr. Hi Tech, 2020)

Chinese Character Decomposition for Neural MT with Multi-Word Expressions. - Lifeng Han; Gareth J. F. Jones; Alan F. Smeaton; Paolo Bolzoni (NoDaLiDa, 2021)

cushLEPOR: customising hLEPOR metric using Optuna for higher agreement with human judgments or pre-trained language model LaBSE. - Lifeng Han; Irina Sorokina; Gleb Erofeev; Serge Gladkoff (WMT@EMNLP, 2021)

Translation Quality Assessment: A Brief Survey on Manual and Automatic Methods. - Lifeng Han; Gareth J. F. Jones; Alan F. Smeaton (CoRR, 2021)

CushLEPOR: Customised hLEPOR Metric Using LABSE Distilled Knowledge Model to Improve Agreement with Human Judgements. - Lifeng Han; Irina Sorokina; Gleb Erofeev; Serge Gladkoff (CoRR, 2021)

HOPE: A Task-Oriented and Human-Centric Evaluation Framework Using Professional Post-Editing Towards More Effective MT Evaluation. - Serge Gladkoff; Lifeng Han (LREC, 2022)

Measuring Uncertainty in Translation Quality Evaluation (TQE). - Serge Gladkoff; Irina Sorokina; Lifeng Han; Alexandra Alekseeva (LREC, 2022)

Examining Large Pre-Trained Language Models for Machine Translation: What You Don't Know about It. - Lifeng Han; Gleb Erofeev; Irina Sorokina; Serge Gladkoff; Goran Nenadic (WMT, 2022)

Recommendation Model Based on Probabilistic Matrix Factorization, Integrating User Trust Relationship, Interest Mining, and Item Correlation. - Lifeng Han; Chen Li 030; Xiaolong Shi (IEEE Access, 2022)

An Overview on Machine Translation Evaluation. - Lifeng Han (CoRR, 2022)

Using Massive Multilingual Pre-Trained Language Models Towards Real Zero-Shot Neural Machine Translation in Clinical Domain. - Lifeng Han; Gleb Erofeev; Irina Sorokina; Serge Gladkoff; Goran Nenadic (CoRR, 2022)

On Cross-Domain Pre-Trained Language Models for Clinical Text Mining: How Do They Perform on Data-Constrained Fine-Tuning? - Yuping Wu 001; Lifeng Han; Valerio Antonini; Goran Nenadic (CoRR, 2022)

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

Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer Learning. - Lifeng Han; Gleb Erofeev; Irina Sorokina; Serge Gladkoff; Goran Nenadic (ClinicalNLP@ACL, 2023)

MedTem2.0: Prompt-based Temporal Classification of Treatment Events from Discharge Summaries. - Yang Cui; Lifeng Han; Goran Nenadic (ACL (student), 2023)

Exploring the Value of Pre-trained Language Models for Clinical Named Entity Recognition. - Samuel Belkadi; Lifeng Han; Yuping Wu 001; Goran Nenadic (IEEE Big Data, 2023)

Extraction of Medication and Temporal Relation from Clinical Text using Neural Language Models. - Hangyu Tu; Lifeng Han; Goran Nenadic (IEEE Big Data, 2023)

"Information Talent" Sharing Program: Discussion on an Assistant Form of Interdisciplinary Information Literacy Education. - Jinghan Liu; Lifeng Han; Liwei Bao (FIE, 2023)

Towards Principles of Ontology-Based Annotation of Clinical Narratives. - Stefan Schulz 001; Warren Del-Pinto; Lifeng Han; Markus Kreuzthaler; Sareh Aghaei Dinani; Goran Nenadic (ICBO, 2023)

Topic Modelling of Swedish Newspaper Articles about Coronavirus: a Case Study using Latent Dirichlet Allocation Method. - Bernadeta Griciute; Lifeng Han; Goran Nenadic (ICHI, 2023)

Student's t-Distribution: On Measuring the Inter-Rater Reliability When the Observations are Scarce. - Serge Gladkoff; Lifeng Han; Goran Nenadic (RANLP, 2023)

AlphaMWE-Arabic: Arabic Edition of Multilingual Parallel Corpora with Multiword Expression Annotations. - Najet Hadj Mohamed; Malak Rassem; Lifeng Han; Goran Nenadic (RANLP, 2023)

Predicting Perfect Quality Segments in MT Output with Fine-Tuned OpenAI LLM: Is it possible to capture editing distance patterns from historical data? - Serge Gladkoff; Gleb Erofeev; Lifeng Han; Goran Nenadic (CoRR, 2023)

MedMine: Examining Pre-trained Language Models on Medication Mining. - Haifa Alrdahi; Lifeng Han; Hendrik Suvalov; Goran Nenadic (CoRR, 2023)

Large Language Models and Control Mechanisms Improve Text Readability of Biomedical Abstracts. - Zihao Li; Samuel Belkadi; Nicolo Micheletti; Lifeng Han; Matthew Shardlow; Goran Nenadic (CoRR, 2023)

Generating Medical Instructions with Conditional Transformer. - Samuel Belkadi; Nicolo Micheletti; Lifeng Han; Warren Del-Pinto; Goran Nenadic (CoRR, 2023)

CantonMT: Cantonese-English Neural Machine Translation Looking into Evaluations. - Kung Yin Hong; Lifeng Han; Riza Batista-Navarro; Goran Nenadic (AMTA (2), 2024)

The Multi-Range Theory of Translation Quality Measurement: MQM scoring models and Statistical Quality Control. - Arle Lommel; Serge Gladkoff; Alan K. Melby; Sue Ellen Wright; Ingemar Strandvik; Katerina Gasova; Angelika Vaasa; Andy Benzo; Romina Marazzato Sparano; Monica Foresi; Johani Innis; Lifeng Han; et al. (AMTA (2), 2024)

MTUncertainty: Assessing the Need for Post-editing of Machine Translation Outputs by Fine-tuning OpenAI LLMs. - Serge Gladkoff; Lifeng Han; Gleb Erofeev; Irina Sorokina; Goran Nenadic (EAMT (1), 2024)

CantonMT: Cantonese to English NMT Platform with Fine-Tuned Models using Real and Synthetic Back-Translation Data. - Kung Yin Hong; Lifeng Han; Riza Batista-Navarro; Goran Nenadic (EAMT (1), 2024)

Investigating Large Language Models and Control Mechanisms to Improve Text Readability of Biomedical Abstracts. - Zihao Li; Samuel Belkadi; Nicolo Micheletti; Lifeng Han; Matthew Shardlow; Goran Nenadic (ICHI, 2024)

CantonMT: Cantonese to English NMT Platform with Fine-Tuned Models Using Synthetic Back-Translation Data. - Kung Yin Hong; Lifeng Han; Riza Batista-Navarro; Goran Nenadic (CoRR, 2024)

CANTONMT: Investigating Back-Translation and Model-Switch Mechanisms for Cantonese-English Neural Machine Translation. - Kung Yin Hong; Lifeng Han; Riza Batista-Navarro; Goran Nenadic (CoRR, 2024)

Exploration of Masked and Causal Language Modelling for Text Generation. - Nicolo Micheletti; Samuel Belkadi; Lifeng Han; Goran Nenadic (CoRR, 2024)

A Comparative Study on Automatic Coding of Medical Letters with Explainability. - Jamie Glen; Lifeng Han; Paul Rayson; Goran Nenadic (CoRR, 2024)

BeeManc at the PLABA Track of TAC-2023: Investigating LLMs and Controllable Attributes for Improving Biomedical Text Readability. - Zihao Li; Samuel Belkadi; Nicolo Micheletti; Lifeng Han; Matthew Shardlow; Goran Nenadic (CoRR, 2024)

Synthetic4Health: Generating Annotated Synthetic Clinical Letters. - Libo Ren; Samuel Belkadi; Lifeng Han; Warren Del-Pinto; Goran Nenadic (CoRR, 2024)

LLM-CARD: Towards a Description and Landscape of Large Language Models. - Shengwei Tian; Lifeng Han; Erick Mendez Guzman; Goran Nenadic (CoRR, 2024)

INSIGHTBUDDY-AI: Medication Extraction and Entity Linking using Large Language Models and Ensemble Learning. - Pablo Romero; Lifeng Han; Goran Nenadic (CoRR, 2024)

DeIDClinic: A Multi-Layered Framework for De-identification of Clinical Free-text Data. - Angel Paul; Dhivin Shaji; Lifeng Han; Warren Del-Pinto; Goran Nenadic (CoRR, 2024)

BeeManc at the PLABA Track of TAC-2024: RoBERTa for task 1 - LLaMA3.1 and GPT-4o for task 2. - Zhidong Ling; Zihao Li; Pablo Romero; Lifeng Han; Goran Nenadic (CoRR, 2024)

Overview of MWE history, challenges, and horizons: standing at the 20th anniversary of the MWE workshop series via MWE-UD2024. - Lifeng Han; Kilian Evang; Archna Bhatia; Gosse Bouma; A. Seza Dogruöz; Marcos García; Voula Giouli; Joakim Nivre; Alexandre Rademacher (CoRR, 2024)

Neural machine translation of clinical text: an empirical investigation into multilingual pre-trained language models and transfer-learning. - Lifeng Han; Serge Gladkoff; Gleb Erofeev; Irina Sorokina; Betty Galiano; Goran Nenadic (Frontiers Digit. Health, 2024)

MLM4SynMed: Masked Language Modelling for Synthetic Free-text Medical Records Generation. - Samuel Belkadi; Libo Ren; Nicolo Micheletti; Lifeng Han; Goran Nenadic (ICHI, 2025)

De-identifying Clinical Texts using Biomed-Clinical BERTs and Comprehensive Risk Assessment. - Dhivin Shaji; Angel Paul; Lifeng Han; Warren Del-Pinto; Goran Nenadic; Suzan Verberne (ICHI, 2025)

Generating Synthetic Free-text Medical Records with Low Re-identification Risk using Masked Language Modeling. - Samuel Belkadi; Libo Ren; Nicolo Micheletti; Lifeng Han; Goran Nenadic (NAACL (Student Research Workshop), 2025)

INSIGHTBUDDY-AI: Medication Extraction and Entity Linking using Pre-Trained Language Models and Ensemble Learning. - Pablo Romero; Lifeng Han; Goran Nenadic (NAACL (Student Research Workshop), 2025)

Advancing Dialectal Arabic to Modern Standard Arabic Machine Translation. - Abdullah Alabdullah; Lifeng Han; Chenghua Lin (CoRR, 2025)

ReviewGraph: A Knowledge Graph Embedding Based Framework for Review Rating Prediction with Sentiment Features. - A. J. W. de Vink; Natalia Amat-Lefort; Lifeng Han (CoRR, 2025)