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Publications

2024

Train & Constrain: Phonologically Informed Tongue-Twister Generation from Topics and Paraphrases
Loakman T., Tang C. and Lin C.
Computational Linguistics, 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 2024

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 2024

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 2024

On the Rigour of Scientific Writing: Criteria, Analysis, and Insights
James J., Xiao C., Li Y. and Lin C.
EMNLP-Findings 2024

An Open-Source Data Contamination Report for Large Language Models
Li Y., Guo Y., Guerin F. and Lin C.
EMNLP-Findings 2024

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 2024

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

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 2024

ATLAS: Improving Lay Summarisation with Attribute-based Control
Zhang Z., Goldsack T., Scarton C. and Lin C.
ACL 2024.

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 2024

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 2024

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 2024

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 2024

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 2024

Effective Distillation of Table-based Reasoning Ability from LLMs
Yang B., Tang C., Zhao K., Xiao C., Lin C.
LREC-COLING 2024

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 2024

ReproHum #0087-01: Human Evaluation Reproduction Report for Generating Fact Checking Explanations
Loakman T., Lin C.
HumEval@LREC-COLING 2024

Improving Medical Dialogue Generation with Abstract Meaning Representations
Yang B., Tang C., Lin C.
ICASSP 2024

CADGE: Context-Aware Dialogue Generation Enhanced with Graph-Structured Knowledge Aggregation
Tang C., Zhang H., Loakman T., Yang B., Goetze S., Lin C.
INLG 2024

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 2024

A Cross-Attention Augmented Model for Event-Triggered Context-Aware Story Generation
Tang C., Loakman T., Lin C.
Computer Speech and Language (CSL) 2024

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), 2024

Language Model as an Annotator: Unsupervised Context-aware Quality Phrase Generation
Zhang Z., Zuo Y., Lin C., Wu J.
Knowledge-Based Systems (KBS), 2024

2023

Compressing Context to Enhance Inference Efficiency of Large Language Models
Li Y., Dong B., Guerin F., Lin C.
EMNLP 2023

Improving Biomedical Abstractive Summarisation with Knowledge Aggregation from Citation Papers
Tang C., Shun W., Goldsack T., Lin C.
EMNLP 2023

Enhancing Biomedical Lay Summarisation with External Knowledge Graphs
Goldsack T., Zhang Z., Tang C., Scarton C., Lin C.
EMNLP 2023

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 2023

Length is a Curse and also a Blessing for Document-level Semantics
Xiao C., Li Y., Hudson G., Lin C., Moubayed N.
EMNLP 2023

The Iron(ic) Melting Pot: Reviewing Human Evaluation in Humour, Irony and Sarcasm Generation
Loakman T., Maladry A., Lin C.
EMNLP-Findings 2023

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 2023

LATENTLOGIC: Learning Logic Rules in Latent Space over Knowledge Graphs
Liu J., Mao Q., Lin C., Song Y., Li J.
EMNLP Findings-2023

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 2023

TwistList: Resources and Baselines for Tongue Twister Generation
Loakman T., Tang C., Lin C.
ACL 2023

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 2023

Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregation
Tang C., Zhang H., Loakman T., Lin C.
ACL 2023

Metaphor Detection via Explicit Basic Meanings Modelling
Li Y., Wang S., Lin C., Guerin F.
ACL 2023

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 2023

Metaphor Detection with Effective Context Denoising
Wang S., Li Y., Lin C., Barrault L., Guerin F.
EACL 2023

FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning
Li Y., Wang S., Lin C., Barrault L., Guerin F.
EACL 2023

Terminology-aware Medical Dialogue Generation
Tang C., Zhang H., Loakman T., Lin C.*, and Guerin F.
ICASSP 2023

Domain-driven and Discourse-guided Scientific Summarisation
Goldsack T., Zhang Z., Lin C.*, and Scarton C.
ECIR 2023

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 2023

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 2023

Improving Unsupervised Keyphrase Extraction by Modeling Hierarchical Multi-granularity Features
Zhang Z., Liang X., Zuo Y., and Lin C.
Information Processing and Management (IPM), 2023

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), 2023

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), 2023

Interactive Natural Language Processing
Wang Z., Zhang G., Yang K., Shi N., Zhou W., Hao S., Xiong G., Li Y., Sim M., Chen X., Zhu Q., Yang Z., Nik A., Liu Q., Lin C., Wang S., Liu R., Chen W., Xu K., Liu D., Guo Y., and Fu J.
arXiv preprint arXiv:2305.13246, 2023

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 2022

Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature
Goldsack T., Zhang Z., Lin C., and Scarton C.
EMNLP 2022

TranSHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction
Li Y., Fan W., Liu C., Lin C., and Qian J.
EMNLP 2022

EtriCA: Event-Triggered Context-Aware Story Generation Augmented by Cross Attention
Tang C., Lin C., Huang H., Guerin F., and Zhang Z.
EMNLP-Findings 2022

The Secret of Metaphor on Expressing Stronger Emotion
Li Y., Guerin F., and Lin C.
Figlang@EMNLP 2022

CM-Gen: A Neural Framework for Chinese Metaphor Generation with Explicit Context Modelling
Li Y., Lin C., and Guerin F.
COLING 2022

NGEP: A Graph-based Event Planning Framework for Story Generation
Tang C., Zhang Z., Loakman T., Lin C., and Guerin F.
AACL 2022

Improving Chinese Story Generation via Awareness of Syntactic Dependencies and Semantics
Huang L., Tang C., Loakman T., Guerin F., and Lin C.
AACL 2022

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 2022

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), 2022

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 2022

Development of a Benchmark Corpus to Support Entity Recognition in Job Descriptions
Green T., Maynard D., and Lin C.
LREC 2022

Nominal Metaphor Generation with Multitask Learning
Li Y., Lin C., and Guerin F.
INLG 2022

DrivingBeacon: Driving Behaviour Change Support System Considering Mobile Use and Geo-information
Baig J., Chen G., Lin C., and Reiter E.
NLG4Health@INLG 2022

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), 2022

Understanding Linearity of Cross-Lingual Word Embedding Mappings
Peng X., Stevenson M., Lin C., and Li C.
Transactions on Machine Learning Research (TMLR), 2022

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, 2022

Recent Advances in Neural Text Generation: A Task-Agnostic Survey
Tang C., Li Y., Guerin F., and Lin C.
arXiv preprint arXiv:2203.03047, 2022

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 2021

Fast and Scalable Dialogue State Tracking with Explicit Modular Decomposition
Wang D., Lin C., Zhong L., and Wong K-F.
NAACL 2021

Cross-Lingual Word Embedding Refinement via Manhattan Norm Optimisation
Peng X., Lin C., Stevenson M.
NAACL 2021

Highly Efficient Knowledge Graph Embeddings Learning via Closed-form Orthogonal Procrustes Analysis
Peng X., Chen G., Lin C., Stevenson M.
NAACL 2021

Summarising Historical Text in Modern Languages
Peng X., Zheng Y., Lin C., and Siddharthan A.
EACL 2021

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 2021

Affective Decoding for Empathetic Response Generation
Zeng C., Chen G., Lin C., Li R., and Chen Z.
INLG 2021

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), 2021

Routine Outcome Monitoring in Psychotherapy Treatment Using Sentiment-Topic Modelling
Yusof N., Lin C.
International Journal on Advanced Science, Engineering and Information Technology, 2021

On the Latent Holes of VAEs for Text Generation
Li R., Peng X., and Lin C.
arXiv:2110.03318, 2021

Combining Pre-trained Word Embeddings and Linguistic Features for Sequential Metaphor Identification
Mao R., Lin C., and Guerin F.
arXiv preprint, arXiv:2104.03285, 2021

Interpreting Verbal Metaphors by Paraphrasing
Mao R., Lin C., and Guerin F.
arXiv preprint, arXiv:2104.03391, 2021

2020

Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation
Li R., Li X., Chen G., and Lin C.
COLING 2020

A Dual-generator Network for Text Style Transfer
Li X., Chen G., Lin C., and Li R.
EMNLP 2020

Latent Space Factorisation and Manipulation via Matrix Subspace Projection
Li X., Lin C., Wang C., Li R., and Guerin F.
ICML 2020

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, 2020

Extractive and Abstractive Sentence Labelling of Sentiment-bearing Topics
Barawi M., Lin C., Siddharthan A., and Liu Y.
Frontier of Computer Science (FCS), 2020

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, 2020

A Text Reassembling Approach to Natural Language Generation
Li X., van Deemter K., and Lin C.
arXiv preprint, arXiv:2005.07988, 2020

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, 2020

2019

End-to-End Sequential Metaphor Identification Inspired by Linguistic Theories
Mao R., Lin C., and Guerin F.
ACL 2019

A Dual-Attention Hierarchical Recurrent Neural Network for Dialogue Act Classification
Li R., Lin C., Collinson M., Li X., and Chen G.
CoNLL 2019

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 2019

QTUNA: A Corpus for Understanding How Speakers Use Quantification
Chen G., van Deemter K., Pagliaro S., Smalbil L., and Lin C.
INLG 2019

Generating Quantified Descriptions of Abstract Visual Scenes
Chen G., van Deemter K., and Lin C.
INLG 2019

Data-driven Two-layer Visual Dictionary Structure Learning
Yu X., Yu Z., Wu L., Pang W., and Lin C.
Journal of Electronic Imaging, 2019

Deep Ensemble Learning for News Stance Detection
Liao W., and Lin C.
The 5th International Conference on Computational Social Science (IC²S²), 2019

2018

Word Embedding and WordNet Based Metaphor Identification and Interpretation
Mao R., Lin C., and Guerin F.
ACL 2018

Statistical NLG for Generating the Content and Form of Referring Expressions
Li X., van Deemter K., and Lin C.
INLG 2018

SimpleNLG-ZH: a Linguistic Realisation Engine for Mandarin
Chen G., van Deemter K., and Lin C.
INLG 2018

Modelling Pro-drop with the Rational Speech Acts Model
Chen G., van Deemter K., and Lin C.
INLG 2018

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 2018

Incorporating Constraints into Matrix Factorization for Clothes Package Recommendation
Wibowo A., Siddharthan A., Masthoff J., and Lin C.
UMAP 2018

Assessing the Effectiveness of Affective Lexicons for Depression Classification
Yusof N., Lin C., and Guerin F.
NLDB 2018

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), 2018

Understanding how to Explain Package Recommendations in the Clothes Domain
Wibowo A., Siddharthan A., Masthoff J., and Lin C.
IntRS@RecSys 2018

Recognising Discriminative Attributes using Context Embeddings and WordNet
Mao R., Chen G., Li R., and Lin C.
SemEval@NAACL 2018

2017

Extracting and understanding contrastive opinion through topic relevant sentences
Ibeke E., Lin C., Wyner A., and Barawi M.
IJCNLP 2017

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), 2017

Automatically Labelling Sentiment-bearing Topics with Descriptive Sentence Labels
Barawi M., Lin C., and Siddharthan A.
NLDB 2017 （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), 2017

Matrix Factorization for Package Recommendations
Wibowo A., Siddharthan A., Lin C., and Masthoff J.
ComplexRec@RecSys 2017

Sentiment Analysis in Social Media
Yusof N., Lin C., and He Y.
Encyclopedia of Social Network Analysis and Mining (2nd Edition), Springer, 2017

2016

Statistics-Based Lexical Choice for NLG from Quantitative Information
Li X., van Deemter K., and Lin C.
INLG 2016

A Curated Corpus for Sentiment-Topic Analysis
Ibeke E., Lin C., Coe C., Wyner A., Liu D., Barawi M., and Yusof N.
ESA@LREC 2016

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, 2015

Sentiment-Topic Modelling in Text Mining
Lin C., Ibeke E., Wyner A., and Guerin F.
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2015

Applying Rule Extraction and Rule Refinement Techniques to (Blackbox) Classifiers
Cepukenas J., Lin C., and Sleeman D.
K-Cap 2015

Predicting Quiz Difficulty Level Using a Hybrid Semantic Similarity Measure
Lin C., Liu Dong., and Pang W.
K-Cap 2015

Web as Corpus Supporting Natural Language Generation for Online River Information Communication
Han X., Sripada S., and Lin C.
WWW 2015

Expressing Quantities in Words: Towards a Computational Model
Li X., van Deemter K., and Lin C.
SICSA 1st International Workshop on Data2Text Generation, Edinburgh, 2015

2014

Sentiment Analysis in Social Media
Lin C. and He Y.
Encyclopedia of Social Network Analysis and Mining, Springer, 2014

Hete-CF: Social-Based Collaborative Filtering Recommendation Using Heterogeneous Relations
Luo C., Pang W., Wang Z., and Lin C.
ICDM 2014

Sherlock: a Semi-Automatic Quiz Generation System using Linked Data
Liu D., and Lin C.
ISWC 2014

HetPathMine: A Novel Transductive Classification Algorithm on Heterogeneous Information Networks
Luo C., Guan R., Wang Z., and Lin C.
ECIR 2014

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

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