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Publications

2026

Large-Scale Terminal Agentic Trajectory Generation from Dockerized Environments
Wu S., Li Y., Song Y., Zhang W., Wang Y., Batista-Navarro R., Yang X., Tang M., Dai B., Yang j. and Lin C.*
ICML (Spotlight)

Dynamics Within Latent Chain-of-Thought: An Empirical Study of Causal Structure
Li Z., Bai X., Chen K., Li Y., Yang J., Lin C. and Zhang M.
ICML

TreePO: Enhancing Policy Efficacy and Inference Efficiency with Tree Modeling
Li Y., Gu Q., Wen Z., Li Z., Yuan R., Xing T., Guo S., Zheng T., Qu X., Zhou W., Zhang Z., Shen W., Xue W., Liu Q, Lin C.*, Yang J., Zhang G., Huang W.
ICML

Transforming Science with Large Language Models: A Survey on AI-Assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation
Eger S., Cao Y., D’Souza J., Geiger A., Greisinger C., Gross S., Hou Y., Krenn B., Lauscher A., Li Y., Lin C., Moosavi N., Zhao W., and Miller T.
ACM Computing Surveys

Re:Form — Reducing Human Priors in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny
Yan C., Che F., Huang X., Xu X., Li X., Li Y., Qu X., Shi J., Lin C., Yang Y., Yuan B., Zhao H., Qiao Y., Zhou B, Fu J.
Transactions on Machine Learning Research (TMLR)

HiRAS: A Hierarchical Multi-Agent Framework for Paper-to-Code Generation and Execution
Hong H., Li Y., Chen J., Ananiadou S., Li X. Kim J. and Lin C.
ACL Findings

RIGOURATE: Quantifying Scientific Exaggeration with Evidence-Aligned Claim Evaluation
James J., Xiao C., Li Y., Moosavi N. and Lin C.
ACL Findings

X-ray Made Simple: Lay Radiology Report Generation and Robust Evaluation
Zhao K., Xiao C., Yan S., Tang H., Cheung W.K., Moubayed N., Zhan L., Lin C.
ACL Findings

The Achilles’ Heel of Angular Margins: A Chebyshev Polynomial Fix for Speaker Verification
Wang Y., Xiao C., Liu Y. and Lin C.
ICASSP

Prompt-Induced Linguistic Fingerprints for LLM-Generated Fake News Detection
Wang C., Gao M., Wang Z., Yin J., Shu K. and Lin C.
The Web Conference (WWW)

PAMAS: Self-Adaptive Multi-Agent System with Perspective Aggregation for Misinformation Detection
Wang Z., Gao M., Yu J., Chen T. and Lin C.
The Web Conference (WWW)

YuE: Scaling Open Foundation Models for Long-Form Music Generation
Yuan R., Lin H., Guo S., Zhang G., Pan J., Zang Y., Liu H., Liang Y., Ma W., Du X., Du X., Ye Z., Zheng T., Jiang Z., Ma Y., Liu M., Tian Z., Zhou Z., Xue L., Qu X., Li Y., Wu S., Shen T., Ma Z., Zhan J., Wang Y., Chi X., Zhang X., Yang Z., Wang X., Liu S., Mei L., Li P., Wang J., Yu J., Li X., Wang Z., Zhou X., Yu L., Benetos E., Chen Y., Lin C., et. al.
ICLR

MMRA: A Benchmark for Evaluating Multi-Granularity and Multi-Image Relational Association Capabilities in Large Visual Language Models
Wu S., Zhu K., Liang Y., Bai Y., Li Y., Wu H., Liu R., Qu X., Cheng X., Zhang G., Huang W., and Lin C.
EACL Findings

COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values
Wu S., Ren J., Du X., Guo S., Qu X., Liang Y., Li Y., Loakman T., et al. and Lin C.
EACL Findings

Interactive Natural Language Processing: Language Model as Agent
Wang, Z., Zhang, G., Lin C. and Fu, J. (Eds.)
Springer — Edited Book

Natural Language Generation
van Miltenburg E. and Lin C.
International Encyclopedia of Language and Linguistics (3rd Edition)

2025

Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts
Hong H., Xiao C., Wang Y., Liu Y., Rong W. and Lin C.
Transactions of the Association for Computational Linguistics (TACL)

Adversarial Defence without Adversarial Defence: Enhancing Language Model Robustness via Instance-level Principal Component Removal
Wang Y., Xiao C., Li Y., Middleton S., Moubayed N. and Lin C.
Transactions of the Association for Computational Linguistics (TACL)

Omnibench: Towards the Future of Universal Omni-language Models
Li Y., Zhang G., Ma Y., Yuan R., Zhu K., Guo H., Liang Y., Liu J., Wang Z., Yang J., Wu S., Qu X., Shi J., Zhang X., Yang Z., Wang X., Zhang Z., Liu Z., Benetos E., Huang W., Lin C.
NeurIPS

Seeing is Hearing: Benchmarking Vision Language Models at Interpreting Spectrograms
Loakman T., James J., and Lin C.
AACL

ContrastScore: Towards Higher Quality, Less Biased, More Efficient Evaluation Metrics with Contrastive Evaluation
Wang X., Larionov D., Wu S., Liu Y., Steffen Eger S., Moosavi N. and Lin C.
AACL

Observing Micromotives and Macrobehavior of Large Language Models
Cheng Y., Qu X., Goldsack T., Lin C. and Chen C.
AACL

Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth
Wang Y., Xiao C., Hsiao C., Chang Z., Chen C., Loakman T., Lin C.
EMNLP

Does Acceleration Cause Hidden Instability in Vision Language Models? Uncovering Instance-Level Divergence Through a Large-Scale Empirical Study
Sun Y., Li H., Xu C., Zhou H., Lin C., Batista-Navarro R., Sun J.
EMNLP

Comparing Apples to Oranges: A Dataset & Analysis of LLM Humour Understanding from Traditional Puns to Topical Jokes
Loakman T., Thorne W., Lin C.
EMNLP-Findings

DocMMIR: A Framework for Document Multi-modal Information Retrieval
Li Z., Wu S., Li Y., Wang X., Zhou Y., Lin C.
EMNLP-Findings

Emphasising Structured Information: Integrating Abstract Meaning Representation into LLMs for Enhanced Open-Domain Dialogue Evaluation
Yang B., Zhao K., Liu D., Tang C., Zhan L., Lin C.
EMNLP-Findings

Crafting Customisable Characters with LLMs: A Persona-Driven Role-Playing Agent Framework
Yang B., Liu D., Xiao C., Zhao K., Li C., Yuan L., Guang Y., Huang L., Lin C.
EMNLP-Findings

Benchmarking for Domain-Specific LLMs: A Case Study on Academia and Beyond
Chen R., Wu J., Wang J., Zhang X., Fan W., Lin C., Wei X., Li Q.
EMNLP-Findings

Earnings2Insights: Analyst Report Generation for Investment Guidance
Takayanagi T., Goldsack T., Izumi K. Lin C., Takamura H., Chen C.
FinNLP@EMNLP

Can MLLMs Understand the Deep Implication Behind Chinese Images?
Zhang C., Feng X., Bai Y., Du X., Hou J., Deng K., Han G., Liu J., Qu X., Zhang Y., Liang Y., Liu Z., Fang F., Yang M., Huang W., Lin C. , Zhang G. and Ni S.
ACL

Selecting Demonstrations for Many-Shot In-Context Learning via Gradient Matching
Zhang J., Li B., Bai J., Li R., Wang Y., Lin C. and Rong W.
ACL-Findings

LIME: Less Is More for MLLM Evaluation
Zhu K., Zang Q., Jia S., Wu S., Fang F., Li Y., Guo S., Guo J., Qu X.,Yang J.,Yue X., Liu J., Lin C., Alinejad-Rokny H., Yang M., Ni S., Huang W. and Zhang G.
ACL-Findings

Overview of the Biolaysumm 2025 Shared Task on Lay Summarization of Biomedical Research Articles and Radiology Reports
Xiao C., Zhao K., Wang X., Wu S., Yan S., Goldsack T., Ananiadou S., Al Moubayed N., Zhan L., Cheung W. K., Lin C.
BioNLP@ACL

CAST: Corpus-Aware Self-similarity Enhanced Topic modelling
Ma Y., Xiao C., Yuan C., van der Veer S., Hassan L., Lin C. and Nenadic G.
NAACL

Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence
Mao Q., Jiang W., Liu J., Lin C., Li Q., Wen X., Li J. and Lu J.
NAACL-Findings

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models
Sun Y., Xin Y., Li H., Sun J., Lin C. and Batista-Navarro R.
NAACL-Findings

COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning
Bai Y., Du X., Liang Y., Jin L., Zhou J., Liu Z., Fang F., Chang M., Zheng T., Zhang X., Ma N., Wang Z., Yuan R., Wu H., Lin H., Huang S., Zhang J., Lin C., Fu J., Yang M., Ni S., and Zhang G.
NAACL-Findings

Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks
Wang Y. and Lin C.
COLING

From Facts to Insights: A Study on the Generation and Evaluation of Analytical Reports for Deciphering Earnings Calls
Goldsack T., Wang Y., Lin C. and Chen C.
COLING

Disentangling Preference Representation and Text Generation for Efficient Individual Preference Alignment
Zhang J., Bai J., Li B., Wang Y., Li R., Lin C. and Rong W.
COLING

MuPT: A Generative Symbolic Music Pretrained Transformer
Qu X., Bai Y., Ma Y., Zhou Z., Lo K., Liu J., Yuan R., Min L., Liu X., Zhang T., Du X., Guo S., Liang Y., Li Y., Wu S., Zhou J., Zheng T., Ma Z., Han F., Xue W., Xia G., Benetos E., Yue X., Lin C., Tan X., Huang W., Fu J., Zhang G.
ICLR

Who’s Laughing Now? An Overview of Computational Humour Generation and Explanation
Loakman T., Thorne W., Lin C.
INLG

I-SHEEP: Self-Alignment of LLM from Scratch through an Iterative Self-Enhancement Paradigm
Liang Y., Zhang G., Qu W., Zheng T., Guo J., Du X., Yang Z., Liu J., Lin C., Ma L., Huang W., Zhang J.
SSI-FM Workshop @ICLR

Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-Translation
Zheng T., Guo S., Qu X., Guo J., Du X., Jia Q., Lin C., Huang W., Fu J., Zhang G.
SSI-FM Workshop @ICLR

Rectifying and Discriminating Hard Negatives for Biomedical Retrieval Question Answering
Bai J., Li Z., Zhao B., Li C., Lin C., W. Rong.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)

Latent Variable Modelling for Controllable and Diverse Generation from Large Language Models
Zhang J., Li B., Chen. Z., Liu C., Li C. Lin C., W. Rong.
IEEE Transactions on Artificial Intelligence

2024

Train & Constrain: Phonologically Informed Tongue-Twister Generation from Topics and Paraphrases
Loakman T., Tang C. and Lin C.
Computational Linguistics

MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training
Li Y., Yuan R., Zhang G., Ma Y., Chen X., Yin H., Lin C.*, Ragni A., Benetos E., Gyenge N., Dannenberg R., Liu R., Chen W., Xia G., Huang, W., Guo Y., Fu J.
ICLR

LatestEval: Addressing Data Contamination in Language Model Evaluation through Dynamic and Time-Sensitive Test Construction
Li Y., Guerin F. and Lin C.
AAAI 2024

With Ears to See and Eyes to Hear: Sound Symbolism Experiments with Multimodal Large Language Models
Loakman T., Li Y. and Lin C.
EMNLP

MMTE: Corpus and Metrics for Evaluating Machine Translation Quality of Metaphorical Language
Wang S., Zhang G., Wu H., Loakman, T., Huang W. and Lin C.
EMNLP

Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking
Bai J., Chen Z., Li Z., Hong H., Zhang J., Li C., Lin C. and Rong W.
EMNLP

On the Rigour of Scientific Writing: Criteria, Analysis, and Insights
James J., Xiao C., Li Y. and Lin C.
EMNLP-Findings

An Open-Source Data Contamination Report for Large Language Models
Li Y., Guo Y., Guerin F. and Lin C.
EMNLP-Findings

Increasing the Difficulty of Automatically Generated Questions via Reinforcement Learning with Synthetic Preference
Thorne W., Robinson A., Peng B., Lin C. and Maynard D.
NLP4DH@EMNLP

ATLAS: Improving Lay Summarisation with Attribute-based Control
Zhang Z., Goldsack T., Scarton C. and Lin C.
ACL

LLMs as Narcissistic Evaluators: When Ego Inflates Evaluation Scores
Liu Y., Moosavi N. and Lin C.
ACL-Findings 2024

SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval
Wu S., Li Y., Zhu K., Zhang G., Liang Y., Ma K., Xiao C., Yang B., Chen W., Huang W., Moubayed N., Fu J. and Lin C.*
ACL-Findings

SLIDE: A Framework Integrating Small and Large Language Models for Open-Domain Dialogues Evaluation
Zhao K., Yang B., Tang C., Lin C.* and Zhan L.
ACL-Findings

CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models
Li Y., Zhang G., Qu X., Li J., Li Z., Wang Z., Li H., Yuan R., Ma Y., Zhou W., Liang Y., Zhang L., Ma L., Zhang J., Li Z., Huang W., Lin C.*, Fu J.
ACL-Findings

ChatMusician: Understanding and Generating Music Intrinsically with LLM
Yuan R., Lin H., Wang Y., Tian Z., Wu S., Shen T., Zhang G., Wu Y., Liu C., Zhou Z., Xue L., Ma Z., Liu Q., Li Y., Ma Y., Liang Y., Chi X., Liu R., Wang Z., Lin C., Huang W., Fu J., Benetos E., Dannenberg R., Xue W., Kang S., Guo Y.
ACL-Findings

Overview of the BioLaySumm 2024 Shared Task on the Lay Summarization of Biomedical Research Articles
Goldsack T., Scarton C., Shardlow M., Lin C.
BioNLP@ACL

Effective Distillation of Table-based Reasoning Ability from LLMs
Yang B., Tang C., Zhao K., Xiao C., Lin C.
LREC-COLING

CMDAG: A Chinese Metaphor Dataset with Annotated Grounds as CoT for Boosting Metaphor Generation
Shao Y., Yao X., Xingwei Qu X., Lin C., Wang S., Huang W., Zhang G., Jie F.
LREC-COLING

ReproHum #0087-01: Human Evaluation Reproduction Report for Generating Fact Checking Explanations
Loakman T., Lin C.
HumEval@LREC-COLING

Improving Medical Dialogue Generation with Abstract Meaning Representations
Yang B., Tang C., Lin C.
ICASSP

CADGE: Context-Aware Dialogue Generation Enhanced with Graph-Structured Knowledge Aggregation
Tang C., Zhang H., Loakman T., Yang B., Goetze S., Lin C.
INLG

ComposerX: Multi-Agent Symbolic Music Composition with LLMs
Deng Q., Yang Q., Yuan R., Huang Y., Wang Y., Liu X., Tian Z., Pan J., Zhang G., Lin H., Li Y., Ma Y., Fu J., Lin C. et.al.
ISMIR

A Cross-Attention Augmented Model for Event-Triggered Context-Aware Story Generation
Tang C., Loakman T., Lin C.
Computer Speech and Language (CSL)

EML: Emotion-Aware Meta Learning for Cross-Event False Information Detection
Huang Y., Gao M., Shu K., Lin C., Wang J., Zhou W.
ACM Transactions on Knowledge Discovery from Data (TKDD)

Language Model as an Annotator: Unsupervised Context-aware Quality Phrase Generation
Zhang Z., Zuo Y., Lin C., Wu J.
Knowledge-Based Systems (KBS)

2023

Compressing Context to Enhance Inference Efficiency of Large Language Models
Li Y., Dong B., Guerin F., Lin C.
EMNLP

Improving Biomedical Abstractive Summarisation with Knowledge Aggregation from Citation Papers
Tang C., Shun W., Goldsack T., Lin C.
EMNLP

Enhancing Biomedical Lay Summarisation with External Knowledge Graphs
Goldsack T., Zhang Z., Tang C., Scarton C., Lin C.
EMNLP

DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining
Jiang W., Mao Q., Lin C., Li J., Yang W., Deng T., Wang Z.
EMNLP

Length is a Curse and also a Blessing for Document-level Semantics
Xiao C., Li Y., Hudson G., Lin C., Moubayed N.
EMNLP

The Iron(ic) Melting Pot: Reviewing Human Evaluation in Humour, Irony and Sarcasm Generation
Loakman T., Maladry A., Lin C.
EMNLP-Findings

How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey
Bai J., Zhang X., Li C., Hong H., Xu X., Lin C., Rong W.
EMNLP-Findings

LATENTLOGIC: Learning Logic Rules in Latent Space over Knowledge Graphs
Liu J., Mao Q., Lin C., Song Y., Li J.
EMNLP Findings

MARBLE: Music Audio Representation Benchmark for Universal Evaluation
Yuan R., Ma Y., Li Y., Zhang G., Chen X., Yin H., Zhuo L., Liu Y., Huang J., Tian J., Deng B., Wang N., Lin C.*, Benetos E., Ragni A., Gyenge N., Dannenberg R., Chen W., Xia G., Xue W., Liu S., Wang S., Liu R., Guo Y., Fu J.
NeurIPS

TwistList: Resources and Baselines for Tongue Twister Generation
Loakman T., Tang C., Lin C.
ACL

Evaluating Open-Domain Dialogues in Latent Space with Next Sentence Prediction and Mutual Information
Zhao K., Yang B., Lin C., Rong W., Villavicencio A., Cui X.
ACL

Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregation
Tang C., Zhang H., Loakman T., Lin C.
ACL

Metaphor Detection via Explicit Basic Meanings Modelling
Li Y., Wang S., Lin C., Guerin F.
ACL

BioLaySumm 2023 Shared Task: Lay Summarisation of Biomedical Research Articles
Goldsack T., Luo Z., Xie Q., Scarton C., Shardlow M., Ananiadou S., Lin C.
BioNLP@ACL

Metaphor Detection with Effective Context Denoising
Wang S., Li Y., Lin C., Barrault L., Guerin F.
EACL

FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning
Li Y., Wang S., Lin C., Barrault L., Guerin F.
EACL

Terminology-aware Medical Dialogue Generation
Tang C., Zhang H., Loakman T., Lin C.*, and Guerin F.
ICASSP

Domain-driven and Discourse-guided Scientific Summarisation
Goldsack T., Zhang Z., Lin C.*, and Scarton C.
ECIR

On the Effectiveness of Speech Self-Supervised Learning for Music
Ma Y., Yuan R., Li Y., Zhang G., Lin C., Chen X., Ragni A., Yin H., Benetos E., Gyenge N., Liu R., Xia G., Dannenberg R., Guo Y., and Fu J.
ISMIR

LyricWhiz: Robust Multilingual Lyrics Transcription by Whispering to ChatGPT
Zhuo L., Pan J., Yuan R., Ma Y., Li Y., Zhang G., Liu S., Dannenberg R., Lin C., Benetos E., Chen W., Xue W., and Guo Y.
ISMIR

Improving Unsupervised Keyphrase Extraction by Modeling Hierarchical Multi-granularity Features
Zhang Z., Liang X., Zuo Y., and Lin C.
Information Processing and Management (IPM)

PUF-Phenotype: A Robust and Noise-Resilient Approach to Aid Intra-Group-based Authentication with DRAM-PUFs Using Machine Learning
Millwood O., Miskelly J., Yang B., Gope P., Kavun E., and Lin C.
IEEE Transactions on Information Forensics and Security (TIFS)

Requirement Formalisation using Natural Language Processing and Machine Learning: A Systematic Review
Kolahdouz-Rahimi S., Lano K., and Lin C.
International Conference on Model-Based Software and Systems Engineering (MODELSWARD)

CORGI-PM: A Chinese Corpus For Gender Bias Probing and Mitigation
Zhang G., Li Y., Wu Y., Zhang L., Lin C., Geng J., Wang S., and Fu J.
arXiv preprint arXiv:2301.00395, 2023

2022

Improving Variational Autoencoders with Density Gap-based Regularization
Zhang J., Bai J., Lin C., Wang Y., and Rong W.
NeurIPS

Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature
Goldsack T., Zhang Z., Lin C., and Scarton C.
EMNLP

TranSHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction
Li Y., Fan W., Liu C., Lin C., and Qian J.
EMNLP

EtriCA: Event-Triggered Context-Aware Story Generation Augmented by Cross Attention
Tang C., Lin C., Huang H., Guerin F., and Zhang Z.
EMNLP-Findings

The Secret of Metaphor on Expressing Stronger Emotion
Li Y., Guerin F., and Lin C.
Figlang@EMNLP

CM-Gen: A Neural Framework for Chinese Metaphor Generation with Explicit Context Modelling
Li Y., Lin C., and Guerin F.
COLING

NGEP: A Graph-based Event Planning Framework for Story Generation
Tang C., Zhang Z., Loakman T., Lin C., and Guerin F.
AACL

Improving Chinese Story Generation via Awareness of Syntactic Dependencies and Semantics
Huang L., Tang C., Loakman T., Guerin F., and Lin C.
AACL

Measuring Hierarchical Regional Bias in Pre-trained Language Models
Li Y., Zhang G., Yang B., Lin C., Ragni A., Wang S., and Fu J.
AACL-Findings

Map-music2vec: A simple and effective baseline for self-supervised music audio representation learning
Li Y., Yang R., Zhang G., Ma Y., Lin C.*, Chen X., Ragni A., Yin H., Hu Z., He H., Benetos E., Gyenge N. Liu R. and Fu J.
ISMIR

Adaptive Pre-training and Collaborative Fine-tuning: a Win-Win Strategy to Improve Review Analysis Tasks
Mao Q., Li J., Lin C., Chen C., Peng H., Wang L., and Yu Philip S.
IEEE Transactions on Audio, Speech and Language Processing (TASLP)

Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation
Ding J., Xiang T., Ou Z., Zuo W., Zhao R., Lin C., Zheng Y., and Liu B.
ICDE

Development of a Benchmark Corpus to Support Entity Recognition in Job Descriptions
Green T., Maynard D., and Lin C.
LREC

Nominal Metaphor Generation with Multitask Learning
Li Y., Lin C., and Guerin F.
INLG

DrivingBeacon: Driving Behaviour Change Support System Considering Mobile Use and Geo-information
Baig J., Chen G., Lin C., and Reiter E.
NLG4Health@INLG

Token Relation Aware Chinese Named Entity Recognition
Huang Z., Rong W., Zhang X., Ouyang Y., Lin C., and Zhang X.
Transactions on Asian and Low-Resource Language Information Processing (TALLIP)

Understanding Linearity of Cross-Lingual Word Embedding Mappings
Peng X., Stevenson M., Lin C., and Li C.
Transactions on Machine Learning Research (TMLR)

Ada: Adversarial Learning Based Data Augmentation for Malicious Users Detection
Wang J., Gao M., Wang Z., Lin C., Zhou W., and Wen J.
Applied Soft Computing

Recent Advances in Neural Text Generation: A Task-Agnostic Survey
Tang C., Li Y., Guerin F., and Lin C.
arXiv preprint arXiv:2203.03047

2021

Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting
Cheng Y., Li S., Liu B., Zhao R., Lin C., and Zheng Y.
ACL

Fast and Scalable Dialogue State Tracking with Explicit Modular Decomposition
Wang D., Lin C., Zhong L., and Wong K-F.
NAACL

Cross-Lingual Word Embedding Refinement via Manhattan Norm Optimisation
Peng X., Lin C., Stevenson M.
NAACL

Highly Efficient Knowledge Graph Embeddings Learning via Closed-form Orthogonal Procrustes Analysis
Peng X., Chen G., Lin C., Stevenson M.
NAACL

Summarising Historical Text in Modern Languages
Peng X., Zheng Y., Lin C., and Siddharthan A.
EACL

Semi-deterministic and Contrastive Variational Graph Autoencoder for Recommendation
Ding Y., Shi Y., Chen B., Lin C., Lu H., Tang R., and Wang D.
CIKM

Affective Decoding for Empathetic Response Generation
Zeng C., Chen G., Lin C., Li R., and Chen Z.
INLG

Named Entity Aware Transfer Learning for Biomedical Factoid Question Answering
Peng K., Ying C., Rong W., Lin C., Zhou D., and Xiong Z.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)

Routine Outcome Monitoring in Psychotherapy Treatment Using Sentiment-Topic Modelling
Yusof N., Lin C.
International Journal on Advanced Science, Engineering and Information Technology

On the Latent Holes of VAEs for Text Generation
Li R., Peng X., and Lin C.
arXiv:2110.03318

Combining Pre-trained Word Embeddings and Linguistic Features for Sequential Metaphor Identification
Mao R., Lin C., and Guerin F.
arXiv preprint, arXiv:2104.03285

Interpreting Verbal Metaphors by Paraphrasing
Mao R., Lin C., and Guerin F.
arXiv preprint, arXiv:2104.03391

2020

Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation
Li R., Li X., Chen G., and Lin C.
COLING

A Dual-generator Network for Text Style Transfer
Li X., Chen G., Lin C., and Li R.
EMNLP

Latent Space Factorisation and Manipulation via Matrix Subspace Projection
Li X., Lin C., Wang C., Li R., and Guerin F.
ICML

On the Low-density Latent Regions of VAE-based Language Models
Li R., Peng X., Lin C., Guerin F., and Rong W.
NeurIPS pre-registration workshop

Extractive and Abstractive Sentence Labelling of Sentiment-bearing Topics
Barawi M., Lin C., Siddharthan A., and Liu Y.
Frontier of Computer Science (FCS)

Split Over-Training for Unsupervised Purchase Intention Identification
Yusof N., Lin C., Han X., and Barawi H.
International Journal of Advanced Trends in Computer Science and Engineering

A Text Reassembling Approach to Natural Language Generation
Li X., van Deemter K., and Lin C.
arXiv preprint, arXiv:2005.07988

Revisiting the Linearity in Cross-lingual Embedding Mappings: from a Perspective of Word Analogies
Peng X., Lin C., Stevenson M., and Li C.
arXiv preprint, arXiv:1907.12385

2019

End-to-End Sequential Metaphor Identification Inspired by Linguistic Theories
Mao R., Lin C., and Guerin F.
ACL

A Dual-Attention Hierarchical Recurrent Neural Network for Dialogue Act Classification
Li R., Lin C., Collinson M., Li X., and Chen G.
CoNLL

Proceedings of the 12th International Conference on Natural Language Generation (INLG), 2019
van Deemter K., Lin C., and Takamura H (Editors).

A Stable Variational Autoencoder for Text Modelling
Li R., Li X., Lin C., Collinson M., and Mao R.
INLG (Best Paper Award Runner-Up)

QTUNA: A Corpus for Understanding How Speakers Use Quantification
Chen G., van Deemter K., Pagliaro S., Smalbil L., and Lin C.
INLG

Generating Quantified Descriptions of Abstract Visual Scenes
Chen G., van Deemter K., and Lin C.
INLG

Data-driven Two-layer Visual Dictionary Structure Learning
Yu X., Yu Z., Wu L., Pang W., and Lin C.
Journal of Electronic Imaging

Deep Ensemble Learning for News Stance Detection
Liao W., and Lin C.
The 5th International Conference on Computational Social Science (IC²S²)

2018

Word Embedding and WordNet Based Metaphor Identification and Interpretation
Mao R., Lin C., and Guerin F.
ACL

Statistical NLG for Generating the Content and Form of Referring Expressions
Li X., van Deemter K., and Lin C.
INLG

SimpleNLG-ZH: a Linguistic Realisation Engine for Mandarin
Chen G., van Deemter K., and Lin C.
INLG

Modelling Pro-drop with the Rational Speech Acts Model
Chen G., van Deemter K., and Lin C.
INLG

Generating Description for Sequential Images with Local-Object Attention Conditioned on Global Semantic Context
Su J., Lin C., Zhou M., Dai Q., and Lv H.
2IS&NLG@INLG

Incorporating Constraints into Matrix Factorization for Clothes Package Recommendation
Wibowo A., Siddharthan A., Masthoff J., and Lin C.
UMAP

Assessing the Effectiveness of Affective Lexicons for Depression Classification
Yusof N., Lin C., and Guerin F.
NLDB

Modelling Various Kinds of Specifications
Chen G., van Deemter K., and Lin C.
International Workshop on Computational Models of Language Generation and Processing in Pragmatics (CoMPPrag)

Understanding how to Explain Package Recommendations in the Clothes Domain
Wibowo A., Siddharthan A., Masthoff J., and Lin C.
IntRS@RecSys

Recognising Discriminative Attributes using Context Embeddings and WordNet
Mao R., Chen G., Li R., and Lin C.
SemEval@NAACL

2017

Extracting and understanding contrastive opinion through topic relevant sentences
Ibeke E., Lin C., Wyner A., and Barawi M.
IJCNLP

Analysing the Causes of Depressed Mood from Depression Vulnerable Individuals
Yusof N., Lin C., and Guerin F.
The International Workshop on Digital Disease Detection using Social Media at the International Joint Conference on Natural Language Processing (IJCNLP)

Automatically Labelling Sentiment-bearing Topics with Descriptive Sentence Labels
Barawi M., Lin C., and Siddharthan A.
NLDB (Best Paper Award)

A Unified Latent Variable Model for Contrastive Opinion Mining
Ibeke E., Lin C., Wyner A., and Barawi M.
Frontier of Computer Science (FCS)

Matrix Factorization for Package Recommendations
Wibowo A., Siddharthan A., Lin C., and Masthoff J.
ComplexRec@RecSys

Sentiment Analysis in Social Media
Yusof N., Lin C., and He Y.
Encyclopedia of Social Network Analysis and Mining (2nd Edition), Springer

2016

Statistics-Based Lexical Choice for NLG from Quantitative Information
Li X., van Deemter K., and Lin C.
INLG

A Curated Corpus for Sentiment-Topic Analysis
Ibeke E., Lin C., Coe C., Wyner A., Liu D., Barawi M., and Yusof N.
ESA@LREC

2015

Sherlock: a Semi-Automatic Framework for Quiz Generation Using a Hybrid Semantic Similarity Measure
Lin C., Liu D., Pang W., and Wang Z.
Cognitive Computation

Sentiment-Topic Modelling in Text Mining
Lin C., Ibeke E., Wyner A., and Guerin F.
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery

Applying Rule Extraction and Rule Refinement Techniques to (Blackbox) Classifiers
Cepukenas J., Lin C., and Sleeman D.
K-Cap

Predicting Quiz Difficulty Level Using a Hybrid Semantic Similarity Measure
Lin C., Liu D., and Pang W.
K-Cap

Web as Corpus Supporting Natural Language Generation for Online River Information Communication
Han X., Sripada S., and Lin C.
WWW

Expressing Quantities in Words: Towards a Computational Model
Li X., van Deemter K., and Lin C.
SICSA 1st International Workshop on Data2Text Generation

2014

Sentiment Analysis in Social Media
Lin C. and He Y.
Encyclopedia of Social Network Analysis and Mining, Springer

Hete-CF: Social-Based Collaborative Filtering Recommendation Using Heterogeneous Relations
Luo C., Pang W., Wang Z., and Lin C.
ICDM

Sherlock: a Semi-Automatic Quiz Generation System using Linked Data
Liu D., and Lin C.
ISWC

HetPathMine: A Novel Transductive Classification Algorithm on Heterogeneous Information Networks
Luo C., Guan R., Wang Z., and Lin C.
ECIR

2013 and prior

Dynamic Joint Sentiment-Topic Model
He Y., Lin C., Gao W., and Wong K.
ACM Transactions on Intelligent Systems and Technology (TIST), 2013

Collecting and Analysing OU Social Media Data
Lin C.
Knowledge Media Institute, The Open University, 2013

Feature LDA: a Supervised Topic Model for Automatic Detection of Web API Documentations from the Web
Lin C., He Y., Pedrinaci C., and Domingue J.
ISWC 2012

Online Sentiment and Topic Dynamics Tracking over the Streaming Data
He Y., Lin C., and Cano Basave E.
IEEE International Conference on Social Computing (SocialCom), 2012

Tracking Sentiment and Topic Dynamics from Social Media
He Y., Lin C., Gao W., and Wong K.
ICWSM 2012

Harnessing the Crowds for Automating the Identification of Web APIs
Pedrinaci C., Liu D., Lin C., and Domingue J.
AAAI Spring Symposium Series, 2012

Weakly-Supervised Joint Sentiment-Topic Detection from Text
Lin C., He Y., Everson R., and Rueger S.
IEEE Transactions on Knowledge and Data Engineering (TDKE), 2011

Sentence Subjectivity Detection with Weakly-Supervised Learning
Lin C., He Y., and Everson R.
IJCNLP 2011

Automatically Extracting Polarity-Bearing Topics for Cross-Domain Sentiment Classification
He Y., Lin C., and Alani H.
ACL 2011

A Comparative Study of Bayesian Models for Unsupervised Sentiment Detection
Lin C., He Y., and Everson R.
CoNLL 2010

Joint Sentiment/Topic Model for Sentiment Analysis
Lin C., and He Y.
CIKM 2009 (Test of Time Award)

Protein-Protein Interactions Classification from Text via Local Learning with Class Priors
He Y., and Lin C.
NLDB 2009

A Multi-agent System for Intelligent Pervasive Spaces
Liu K., Lin C., and Qiao B.
IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI), 2008

Review of Computer Vision in Intelligent Environment Design
Lin C., Liu K., and Wei H.
SSE System Engineering Conference, Reading, UK, 2008

PhD Thesis

Probabilistic topic models for sentiment analysis on the Web
Lin C.
University of Exeter, 2011

Technical Reports

emantic Architecture, SWS selection and deployment, and Data Interface analysis
González N., Lin C., Predinaci C. and Pariente T.
VPH-Share project deliverable (FP7-ICT-269978-D4.2), 2012

Annotation Recommendation for the Semantic Description of RESTful Web Services
Ph. Beaune, Pedrinaci C. and Lin C.
Knowledge Media Institute, 2012