Chenghua Lin

According to our database, Chenghua Lin authored at least 137 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Language model as an Annotator: Unsupervised context-aware quality phrase generation.

Zhihao Zhang, Yuan Zuo, Chenghua Lin, Junjie Wu

Knowl. Based Syst., January, 2024

COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning.

Yuelin Bai, Xinrun Du, Yiming Liang, Yonggang Jin, Ziqiang Liu, Junting Zhou, Tianyu Zheng, Xincheng Zhang, Nuo Ma, Zekun Wang, Ruibin Yuan, Haihong Wu, Hongquan Lin, Wenhao Huang, Jiajun Zhang, Wenhu Chen, Chenghua Lin, Jie Fu, Min Yang, Shiwen Ni, Ge Zhang

CoRR, 2024

Train & Constrain: Phonologically Informed Tongue-Twister Generation from Topics and Paraphrases.

Tyler Loakman, Chen Tang, Chenghua Lin

CoRR, 2024

DEEP-ICL: Definition-Enriched Experts for Language Model In-Context Learning.

Xingwei Qu, Yiming Liang, Yucheng Wang, Tianyu Zheng, Tommy Yue, Lei Ma, Stephen W. Huang, Jiajun Zhang, Wenhu Chen, Chenghua Lin, Jie Fu, Ge Zhang

CoRR, 2024

ChatMusician: Understanding and Generating Music Intrinsically with LLM.

Ruibin Yuan, Hanfeng Lin, Yi Wang, Zeyue Tian, Shangda Wu, Tianhao Shen, Ge Zhang, Yuhang Wu, Cong Liu, Ziya Zhou, Ziyang Ma, Liumeng Xue, Ziyu Wang, Qin Liu, Tianyu Zheng, Yizhi Li, Yinghao Ma, Yiming Liang, Xiaowei Chi, Ruibo Liu, Zili Wang, Pengfei Li, Jingcheng Wu, Chenghua Lin, Qifeng Liu, Tao Jiang, Wenhao Huang, Wenhu Chen, Emmanouil Benetos, Jie Fu, Gus Xia, Roger B. Dannenberg, Wei Xue, Shiyin Kang, Yike Guo

CoRR, 2024

CMDAG: A Chinese Metaphor Dataset with Annotated Grounds as CoT for Boosting Metaphor Generation.

Yujie Shao, Xinrong Yao, Xingwei Qu, Chenghua Lin, Shi Wang, Stephen W. Huang, Ge Zhang, Jie Fu

CoRR, 2024

CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models.

Yizhi Li, Ge Zhang, Xingwei Qu, Jiali Li, Zhaoqun Li, Zekun Wang, Hao Li, Ruibin Yuan, Yinghao Ma, Kai Zhang, Wangchunshu Zhou, Yiming Liang, Lei Zhang, Lei Ma, Jiajun Zhang, Zuowen Li, Stephen W. Huang, Chenghua Lin, Wenhu Chen, Jie Fu

CoRR, 2024

Pixel Sentence Representation Learning.

Chenghao Xiao, Zhuoxu Huang, Danlu Chen, G. Thomas Hudson, Yizhi Li, Haoran Duan, Chenghua Lin, Jie Fu, Jungong Han, Noura Al Moubayed

CoRR, 2024

Evaluating Large Language Models for Generalization and Robustness via Data Compression.

Yucheng Li, Yunhao Guo, Frank Guerin, Chenghua Lin

CoRR, 2024

Finding Challenging Metaphors that Confuse Pretrained Language Models.

Yucheng Li, Frank Guerin, Chenghua Lin

CoRR, 2024

SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval.

Siwei Wu, Yizhi Li, Kang Zhu, Ge Zhang, Yiming Liang, Kaijing Ma, Chenghao Xiao, Haoran Zhang, Bohao Yang, Wenhu Chen, Wenhao Huang, Noura Al Moubayed, Jie Fu, Chenghua Lin

CoRR, 2024

CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark.

Ge Zhang, Xinrun Du, Bei Chen, Yiming Liang, Tongxu Luo, Tianyu Zheng, Kang Zhu, Yuyang Cheng, Chunpu Xu, Shuyue Guo, Haoran Zhang, Xingwei Qu, Junjie Wang, Ruibin Yuan, Yizhi Li, Zekun Wang, Yudong Liu, Yu-Hsuan Tsai, Fengji Zhang, Chenghua Lin, Wenhao Huang, Wenhu Chen, Jie Fu

CoRR, 2024

Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-Translation.

Tianyu Zheng, Shuyue Guo, Xingwei Qu, Jiawei Guo, Weixu Zhang, Xinrun Du, Chenghua Lin, Wenhao Huang, Wenhu Chen, Jie Fu, Ge Zhang

CoRR, 2024

Comparative Evaluation of NLP Approaches for Requirements Formalisation.

Shekoufeh Kolahdouz Rahimi, Kevin Lano, Sobhan Yassipour Tehrani, Chenghua Lin, Yiqi Liu, Muhammad Aminu Umar

Proceedings of the 12th International Conference on Model-Based Software and Systems Engineering, 2024

LatestEval: Addressing Data Contamination in Language Model Evaluation through Dynamic and Time-Sensitive Test Construction.

Yucheng Li, Frank Guerin, Chenghua Lin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

PUF-Phenotype: A Robust and Noise-Resilient Approach to Aid Group-Based Authentication With DRAM-PUFs Using Machine Learning.

Owen Millwood, Jack Miskelly, Bohao Yang, Prosanta Gope, Elif Bilge Kavun, Chenghua Lin

IEEE Trans. Inf. Forensics Secur., 2023

Token Relation Aware Chinese Named Entity Recognition.

Zeyu Huang, Wenge Rong, Xiaofeng Zhang, Yuanxin Ouyang, Chenghua Lin, Zhang Xiong

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023

Improving unsupervised keyphrase extraction by modeling hierarchical multi-granularity features.

Zhihao Zhang, Xinnian Liang, Yuan Zuo, Chenghua Lin

Inf. Process. Manag., 2023

A Cross-Attention Augmented Model for Event-Triggered Context-Aware Story Generation.

Chen Tang, Tyler Loakman, Chenghua Lin

CoRR, 2023

LLMs as Narcissistic Evaluators: When Ego Inflates Evaluation Scores.

Yiqi Liu, Nafise Sadat Moosavi, Chenghua Lin

CoRR, 2023

ACL Anthology Helper: A Tool to Retrieve and Manage Literature from ACL Anthology.

Chen Tang, Frank Guerin, Chenghua Lin

CoRR, 2023

Overview of the BioLaySumm 2023 Shared Task on Lay Summarization of Biomedical Research Articles.

Tomas Goldsack, Zheheng Luo, Qianqian Xie, Carolina Scarton, Matthew Shardlow, Sophia Ananiadou, Chenghua Lin

CoRR, 2023

Effective Distillation of Table-based Reasoning Ability from LLMs.

Bohao Yang, Chen Tang, Kun Zhao, Chenghao Xiao, Chenghua Lin

CoRR, 2023

Audio Contrastive based Fine-tuning.

Yang Wang, Qibin Liang, Chenghao Xiao, Yizhi Li, Noura Al Moubayed, Chenghua Lin

CoRR, 2023

Improving Medical Dialogue Generation with Abstract Meaning Representations.

Bohao Yang, Chen Tang, Chenghua Lin

CoRR, 2023

MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training.

Yizhi Li, Ruibin Yuan, Ge Zhang, Yinghao Ma, Xingran Chen, Hanzhi Yin, Chenghua Lin, Anton Ragni, Emmanouil Benetos, Norbert Gyenge, Roger B. Dannenberg, Ruibo Liu, Wenhu Chen, Gus Xia, Yemin Shi, Wenhao Huang, Yike Guo, Jie Fu

CoRR, 2023

Interactive Natural Language Processing.

Zekun Wang, Ge Zhang, Kexin Yang, Ning Shi, Wangchunshu Zhou, Shaochun Hao, Guangzheng Xiong, Yizhi Li, Mong Yuan Sim, Xiuying Chen, Qingqing Zhu, Zhenzhu Yang, Adam Nik, Qi Liu, Chenghua Lin, Shi Wang, Ruibo Liu, Wenhu Chen, Ke Xu, Dayiheng Liu, Yike Guo, Jie Fu

CoRR, 2023

CADGE: Context-Aware Dialogue Generation Enhanced with Graph-Structured Knowledge Aggregation.

Hongbo Zhang, Chen Tang, Tyler Loakman, Chenghua Lin, Stefan Goetze

CoRR, 2023

Chinese Open Instruction Generalist: A Preliminary Release.

Ge Zhang, Yemin Shi, Ruibo Liu, Ruibin Yuan, Yizhi Li, Siwei Dong, Yu Shu, Zhaoqun Li, Zekun Wang, Chenghua Lin, Wenhao Huang, Jie Fu

CoRR, 2023

The Secret of Metaphor on Expressing Stronger Emotion.

Yucheng Li, Frank Guerin, Chenghua Lin

CoRR, 2023

CORGI-PM: A Chinese Corpus For Gender Bias Probing and Mitigation.

Ge Zhang, Yizhi Li, Yaoyao Wu, Linyuan Zhang, Chenghua Lin, Jiayi Geng, Shi Wang, Jie Fu

CoRR, 2023

MARBLE: Music Audio Representation Benchmark for Universal Evaluation.

Ruibin Yuan, Yinghao Ma, Yizhi Li, Ge Zhang, Xingran Chen, Hanzhi Yin, Le Zhuo, Yiqi Liu, Jiawen Huang, Zeyue Tian, Binyue Deng, Ningzhi Wang, Chenghua Lin, Emmanouil Benetos, Anton Ragni, Norbert Gyenge, Roger B. Dannenberg, Wenhu Chen, Gus Xia, Wei Xue, Si Liu, Shi Wang, Ruibo Liu, Yike Guo, Jie Fu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Requirement Formalisation Using Natural Language Processing and Machine Learning: A Systematic Review.

Shekoufeh Kolahdouz Rahimi, Kevin Lano, Chenghua Lin

Proceedings of the 11th International Conference on Model-Based Software and Systems Engineering, 2023

LyricWhiz: Robust Multilingual Zero-Shot Lyrics Transcription by Whispering to ChatGPT.

Le Zhuo, Ruibin Yuan, Jiahao Pan, Yinghao Ma, Yizhi Li, Ge Zhang, Si Liu, Roger B. Dannenberg, Jie Fu, Chenghua Lin, Emmanouil Benetos, Wenhu Chen, Wei Xue, Yike Guo

Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

On the Effectiveness of Speech Self-Supervised Learning for Music.

Yinghao Ma, Ruibin Yuan, Yizhi Li, Ge Zhang, Chenghua Lin, Xingran Chen, Anton Ragni, Hanzhi Yin, Emmanouil Benetos, Norbert Gyenge, Ruibo Liu, Gus Xia, Roger B. Dannenberg, Yike Guo, Jie Fu

Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

Terminology-Aware Medical Dialogue Generation.

Chen Tang, Hongbo Zhang, Tyler Loakman, Chenghua Lin, Frank Guerin

Proceedings of the IEEE International Conference on Acoustics, 2023

Length is a Curse and a Blessing for Document-level Semantics.

Chenghao Xiao, Yizhi Li, G. Thomas Hudson, Chenghua Lin, Noura Al Moubayed

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Improving Biomedical Abstractive Summarisation with Knowledge Aggregation from Citation Papers.

Chen Tang, Shun Wang, Tomas Goldsack, Chenghua Lin

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

The Iron(ic) Melting Pot: Reviewing Human Evaluation in Humour, Irony and Sarcasm Generation.

Tyler Loakman, Aaron Maladry, Chenghua Lin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

LATENTLOGIC: Learning Logic Rules in Latent Space over Knowledge Graphs.

Junnan Liu, Qianren Mao, Chenghua Lin, Yangqiu Song, Jianxin Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining.

Weifeng Jiang, Qianren Mao, Chenghua Lin, Jianxin Li, Ting Deng, Weiyi Yang, Zheng Wang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Enhancing Biomedical Lay Summarisation with External Knowledge Graphs.

Tomas Goldsack, Zhihao Zhang, Chen Tang, Carolina Scarton, Chenghua Lin

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey.

Jun Bai, Xiaofeng Zhang, Chen Li, Hanhua Hong, Xi Xu, Chenghua Lin, Wenge Rong

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Compressing Context to Enhance Inference Efficiency of Large Language Models.

Yucheng Li, Bo Dong, Frank Guerin, Chenghua Lin

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Domain-Driven and Discourse-Guided Scientific Summarisation.

Tomas Goldsack, Zhihao Zhang, Chenghua Lin, Carolina Scarton

Proceedings of the Advances in Information Retrieval, 2023

Metaphor Detection with Effective Context Denoising.

Shun Wang, Yucheng Li, Chenghua Lin, Loïc Barrault, Frank Guerin

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning.

Yucheng Li, Shun Wang, Chenghua Lin, Frank Guerin, Loïc Barrault

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

BioLaySumm 2023 Shared Task: Lay Summarisation of Biomedical Research Articles.

Tomas Goldsack, Zheheng Luo, Qianqian Xie, Carolina Scarton, Matthew Shardlow, Sophia Ananiadou, Chenghua Lin

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregation.

Chen Tang, Hongbo Zhang, Tyler Loakman, Chenghua Lin, Frank Guerin

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

TwistList: Resources and Baselines for Tongue Twister Generation.

Tyler Loakman, Chen Tang, Chenghua Lin

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Evaluating Open-Domain Dialogues in Latent Space with Next Sentence Prediction and Mutual Information.

Kun Zhao, Bohao Yang, Chenghua Lin, Wenge Rong, Aline Villavicencio, Xiaohui Cui

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Metaphor Detection via Explicit Basic Meanings Modelling.

Yucheng Li, Shun Wang, Chenghua Lin, Frank Guerin

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

Understanding Linearity of Cross-Lingual Word Embedding Mappings.

Xutan Peng, Mark Stevenson, Chenghua Lin, Chen Li

Trans. Mach. Learn. Res., 2022

Named Entity Aware Transfer Learning for Biomedical Factoid Question Answering.

Keqin Peng, Chuantao Yin, Wenge Rong, Chenghua Lin, Deyu Zhou, Zhang Xiong

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Adaptive Pre-Training and Collaborative Fine-Tuning: A Win-Win Strategy to Improve Review Analysis Tasks.

Qianren Mao, Jianxin Li, Chenghua Lin, Congwen Chen, Hao Peng, Lihong Wang, Philip S. Yu

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Routine Outcome Monitoring in Psychotherapy Treatment using Sentiment-Topic Modelling Approach.

Noor Fazilla Abd Yusof, Chenghua Lin

CoRR, 2022

MAP-Music2Vec: A Simple and Effective Baseline for Self-Supervised Music Audio Representation Learning.

Yizhi Li, Ruibin Yuan, Ge Zhang, Yinghao Ma, Chenghua Lin, Xingran Chen, Anton Ragni, Hanzhi Yin, Zhijie Hu, Haoyu He, Emmanouil Benetos, Norbert Gyenge, Ruibo Liu, Jie Fu

CoRR, 2022

PUF-Phenotype: A Robust and Noise-Resilient Approach to Aid Intra-Group-based Authentication with DRAM-PUFs Using Machine Learning.

Owen Millwood, Jack Miskelly, Bohao Yang, Prosanta Gope, Elif Bilge Kavun, Chenghua Lin

CoRR, 2022

Nominal Metaphor Generation with Multitask Learning.

Yucheng Li, Chenghua Lin, Frank Guerin

CoRR, 2022

TransHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction.

Yizhi Li, Wei Fan, Chao Liu, Chenghua Lin, Jiang Qian

CoRR, 2022

Recent Advances in Neural Text Generation: A Task-Agnostic Survey.

Chen Tang, Frank Guerin, Yucheng Li, Chenghua Lin

CoRR, 2022

Ada: Adversarial learning based data augmentation for malicious users detection.

Jia Wang, Min Gao, Zongwei Wang, Chenghua Lin, Wei Zhou, Junhao Wen

Appl. Soft Comput., 2022

Improving Variational Autoencoders with Density Gap-based Regularization.

Jianfei Zhang, Jun Bai, Chenghua Lin, Yanmeng Wang, Wenge Rong

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Development of a Benchmark Corpus to Support Entity Recognition in Job Descriptions.

Thomas Green, Diana Maynard, Chenghua Lin

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

NGEP: A Graph-based Event Planning Framework for Story Generation.

Chen Tang, Zhihao Zhang, Tyler Loakman, Chenghua Lin, Frank Guerin

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

HERB: Measuring Hierarchical Regional Bias in Pre-trained Language Models.

Yizhi Li, Ge Zhang, Bohao Yang, Chenghua Lin, Anton Ragni, Shi Wang, Jie Fu

Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022

Improving Chinese Story Generation via Awareness of Syntactic Dependencies and Semantics.

Henglin Huang, Chen Tang, Tyler Loakman, Frank Guerin, Chenghua Lin

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

EtriCA: Event-Triggered Context-Aware Story Generation Augmented by Cross Attention.

Chen Tang, Chenghua Lin, Henglin Huang, Frank Guerin, Zhihao Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

TranSHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction.

Yizhi Li, Wei Fan, Chao Liu, Chenghua Lin, Jiang Qian

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature.

Tomas Goldsack, Zhihao Zhang, Chenghua Lin, Carolina Scarton

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

CM-Gen: A Neural Framework for Chinese Metaphor Generation with Explicit Context Modelling.

Yucheng Li, Chenghua Lin, Frank Guerin

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation.

Jiayuan Ding, Tong Xiang, Zijing Ou, Wangyang Zuo, Ruihui Zhao, Chenghua Lin, Yefeng Zheng, Bang Liu

CoRR, 2021

On the Latent Holes of VAEs for Text Generation.

Ruizhe Li, Xutan Peng, Chenghua Lin

CoRR, 2021

Extractive and Abstractive Sentence Labelling of Sentiment-bearing Topics.

Mohamad Hardyman Barawi, Chenghua Lin, Advaith Siddharthan, Yinbin Liu

CoRR, 2021

Affective Decoding for Empathetic Response Generation.

Chengkun Zheng, Guanyi Chen, Chenghua Lin, Ruizhe Li, Zhigang Chen

CoRR, 2021

Cross-Lingual Word Embedding Refinement by 𝓁₁ Norm Optimisation.

Xutan Peng, Chenghua Lin, Mark Stevenson

CoRR, 2021

Interpreting Verbal Metaphors by Paraphrasing.

Rui Mao, Chenghua Lin, Frank Guerin

CoRR, 2021

Combining Pre-trained Word Embeddings and Linguistic Features for Sequential Metaphor Identification.

Rui Mao, Chenghua Lin, Frank Guerin

CoRR, 2021

Fast and Scalable Dialogue State Tracking with Explicit Modular Decomposition.

Dingmin Wang, Chenghua Lin, Qi Liu, Kam-Fai Wong

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Cross-Lingual Word Embedding Refinement by $\ell_1$ Norm Optimisation.

Xutan Peng, Chenghua Lin, Mark Stevenson

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes Analysis.

Xutan Peng, Guanyi Chen, Chenghua Lin, Mark Stevenson

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Affective Decoding for Empathetic Response Generation.

Chengkun Zheng, Guanyi Chen, Chenghua Lin, Ruizhe Li, Zhi Chen

Proceedings of the 14th International Conference on Natural Language Generation, 2021

Summarising Historical Text in Modern Languages.

Xutan Peng, Yi Zheng, Chenghua Lin, Advaith Siddharthan

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Semi-deterministic and Contrastive Variational Graph Autoencoder for Recommendation.

Yue Ding, Yuxiang Shi, Bo Chen, Chenghua Lin, Hongtao Lu, Jie Li, Ruiming Tang, Dong Wang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting.

Yi Cheng, Siyao Li, Bang Liu, Ruihui Zhao, Sujian Li, Chenghua Lin, Yefeng Zheng

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

A unified latent variable model for contrastive opinion mining.

Ebuka Ibeke, Chenghua Lin, Adam Wyner, Mohamad Hardyman Barawi

Frontiers Comput. Sci., 2020

Generating Descriptions for Sequential Images with Local-Object Attention and Global Semantic Context Modelling.

Jing Su, Chenghua Lin, Mian Zhou, Qingyun Dai, Haoyu Lv

CoRR, 2020

A Text Reassembling Approach to Natural Language Generation.

Xiao Li, Kees van Deemter, Chenghua Lin

CoRR, 2020

Dialogue State Tracking with Pretrained Encoder for Multi-domain Trask-oriented Dialogue Systems.

Dingmin Wang, Chenghua Lin, Li Zhong, Kam-Fai Wong

CoRR, 2020

Revisiting the linearity in cross-lingual embedding mappings: from a perspective of word analogies.

Xutan Peng, Chenghua Lin, Mark Stevenson, Chen Li

CoRR, 2020

On the Low-density Latent Regions of VAE-based Language Models.

Ruizhe Li, Xutan Peng, Chenghua Lin, Wenge Rong, Zhigang Chen

Proceedings of the NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 2020

Latent Space Factorisation and Manipulation via Matrix Subspace Projection.

Xiao Li, Chenghua Lin, Ruizhe Li, Chaozheng Wang, Frank Guerin

Proceedings of the 37th International Conference on Machine Learning, 2020

DGST: a Dual-Generator Network for Text Style Transfer.

Xiao Li, Guanyi Chen, Chenghua Lin, Ruizhe Li

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation.

Ruizhe Li, Xiao Li, Guanyi Chen, Chenghua Lin

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Data-driven two-layer visual dictionary structure learning.

Xiangchun Yu, Zhezhou Yu, Lei Wu, Wei Pang, Chenghua Lin

J. Electronic Imaging, 2019

Deep Ensemble Learning for News Stance Detection.

Wenjun Liao, Chenghua Lin

CoRR, 2019

Latent Space Factorisation and Manipulation via Matrix Subspace Projection.

Xiao Li, Chenghua Lin, Chaozheng Wang, Frank Guerin

CoRR, 2019

A Stable Variational Autoencoder for Text Modelling.

Ruizhe Li, Xiao Li, Chenghua Lin, Matthew Collinson, Rui Mao

Proceedings of the 12th International Conference on Natural Language Generation, 2019

QTUNA: A Corpus for Understanding How Speakers Use Quantification.

Guanyi Chen, Kees van Deemter, Silvia Pagliaro, Louk Smalbil, Chenghua Lin

Proceedings of the 12th International Conference on Natural Language Generation, 2019

Generating Quantified Descriptions of Abstract Visual Scenes.

Guanyi Chen, Kees van Deemter, Chenghua Lin

Proceedings of the 12th International Conference on Natural Language Generation, 2019

A Dual-Attention Hierarchical Recurrent Neural Network for Dialogue Act Classification.

Ruizhe Li, Chenghua Lin, Matthew Collinson, Xiao Li, Guanyi Chen

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

End-to-End Sequential Metaphor Identification Inspired by Linguistic Theories.

Rui Mao, Chenghua Lin, Frank Guerin

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Sentiment Analysis in Social Media.

Noor Fazilla Abd Yusof, Chenghua Lin, Yulan He

Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Incorporating Constraints into Matrix Factorization for Clothes Package Recommendation.

Agung Toto Wibowo, Advaith Siddharthan, Judith Masthoff, Chenghua Lin

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

ABDN at SemEval-2018 Task 10: Recognising Discriminative Attributes using Context Embeddings and WordNet.

Rui Mao, Guanyi Chen, Ruizhe Li, Chenghua Lin

Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

Understanding how to Explain Package Recommendations in the Clothes Domain.

Agung Toto Wibowo, Advaith Siddharthan, Judith Masthoff, Chenghua Lin

Proceedings of the 5th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, 2018

Assessing the Effectiveness of Affective Lexicons for Depression Classification.

Noor Fazilla Abd Yusof, Chenghua Lin, Frank Guerin

Proceedings of the Natural Language Processing and Information Systems, 2018

Statistical NLG for Generating the Content and Form of Referring Expressions.

Xiao Li, Kees van Deemter, Chenghua Lin

Proceedings of the 11th International Conference on Natural Language Generation, 2018

Modelling Pro-drop with the Rational Speech Acts Model.

Guanyi Chen, Kees van Deemter, Chenghua Lin

Proceedings of the 11th International Conference on Natural Language Generation, 2018

SimpleNLG-ZH: a Linguistic Realisation Engine for Mandarin.

Guanyi Chen, Kees van Deemter, Chenghua Lin

Proceedings of the 11th International Conference on Natural Language Generation, 2018

Word Embedding and WordNet Based Metaphor Identification and Interpretation.

Rui Mao, Chenghua Lin, Frank Guerin

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Matrix Factorization for Package Recommendations.

Agung Toto Wibowo, Advaith Siddharthan, Chenghua Lin, Judith Masthoff

Proceedings of the RecSys 2017 Workshop on Recommendation in Complex Scenarios co-located with 11th ACM Conference on Recommender Systems (RecSys 2017), 2017

Automatically Labelling Sentiment-Bearing Topics with Descriptive Sentence Labels.

Mohamad Hardyman Barawi, Chenghua Lin, Advaith Siddharthan

Proceedings of the Natural Language Processing and Information Systems, 2017

Analysing the Causes of Depressed Mood from Depression Vulnerable Individuals.

Noor Fazilla Abd Yusof, Chenghua Lin, Frank Guerin

Proceedings of the International Workshop on Digital Disease Detection using Social Media, 2017

Extracting and Understanding Contrastive Opinion through Topic Relevant Sentences.

Ebuka Ibeke, Chenghua Lin, Adam Z. Wyner, Mohamad Hardyman Barawi

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

2016

Statistics-Based Lexical Choice for NLG from Quantitative Information.

Xiao Li, Kees van Deemter, Chenghua Lin

Proceedings of the INLG 2016, 2016

2015

Sentiment-topic modeling in text mining.

Chenghua Lin, Ebuka Ibeke, Adam Z. Wyner, Frank Guerin

WIREs Data Mining Knowl. Discov., 2015

Sherlock: A Semi-automatic Framework for Quiz Generation Using a Hybrid Semantic Similarity Measure.

Chenghua Lin, Dong Liu, Wei Pang, Zhe Wang

Cogn. Comput., 2015

Web as Corpus Supporting Natural Language Generation for Online River Information Communication.

Xiwu Han, Antonio A. R. Ioris, Chenghua Lin

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Automatically Predicting Quiz Difficulty Level Using Similarity Measures.

Chenghua Lin, Dong Liu, Wei Pang, Edward Apeh

Proceedings of the 8th International Conference on Knowledge Capture, 2015

Applying Rule Extraction & Rule Refinement techniques to (Blackbox) Classifiers.

Julius Cepukenas, Chenghua Lin, Derek H. Sleeman

Proceedings of the 8th International Conference on Knowledge Capture, 2015

2014

Sentiment Analysis in Social Media.

Chenghua Lin, Yulan He

Encyclopedia of Social Network Analysis and Mining, 2014

Sherlock: a Semi-Automatic Quiz Generation System using Linked Data.

Dong Liu, Chenghua Lin

Proceedings of the ISWC 2014 Posters & Demonstrations Track a track within the 13th International Semantic Web Conference, 2014

Hete-CF: Social-Based Collaborative Filtering Recommendation Using Heterogeneous Relations.

Chen Luo, Wei Pang, Zhe Wang, Chenghua Lin

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

HetPathMine: A Novel Transductive Classification Algorithm on Heterogeneous Information Networks.

Chen Luo, Renchu Guan, Zhe Wang, Chenghua Lin

Proceedings of the Advances in Information Retrieval, 2014

2013

Dynamic joint sentiment-topic model.

Yulan He, Chenghua Lin, Wei Gao, Kam-Fai Wong

ACM Trans. Intell. Syst. Technol., 2013

2012

Weakly Supervised Joint Sentiment-Topic Detection from Text.

Chenghua Lin, Yulan He, Richard M. Everson, Stefan M. Rüger

IEEE Trans. Knowl. Data Eng., 2012

Online Sentiment and Topic Dynamics Tracking over the Streaming Data.

Yulan He, Chenghua Lin, Amparo Elizabeth Cano

Proceedings of the 2012 International Conference on Privacy, 2012

Feature LDA: A Supervised Topic Model for Automatic Detection of Web API Documentations from the Web.

Chenghua Lin, Yulan He, Carlos Pedrinaci, John Domingue

Proceedings of the Semantic Web - ISWC 2012, 2012

Tracking Sentiment and Topic Dynamics from Social Media.

Yulan He, Chenghua Lin, Wei Gao, Kam-Fai Wong

Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

Harnessing the Crowds for Automating the Identification of Web APIs.

Carlos Pedrinaci, Dong Liu, Chenghua Lin, John Domingue

Proceedings of the Intelligent Web Services Meet Social Computing, 2012

2011

Probabilistic topic models for sentiment analysis on the Web.

Chenghua Lin

PhD thesis, 2011

Sentence Subjectivity Detection with Weakly-Supervised Learning.

Chenghua Lin, Yulan He, Richard M. Everson

Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

Automatically Extracting Polarity-Bearing Topics for Cross-Domain Sentiment Classification.

Yulan He, Chenghua Lin, Harith Alani

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010

A Comparative Study of Bayesian Models for Unsupervised Sentiment Detection.

Chenghua Lin, Yulan He, Richard M. Everson

Proceedings of the Fourteenth Conference on Computational Natural Language Learning, 2010

2009

Protein-Protein Interactions Classification from Text via Local Learning with Class Priors.

Yulan He, Chenghua Lin

Proceedings of the Natural Language Processing and Information Systems, 2009

Joint sentiment/topic model for sentiment analysis.

Chenghua Lin, Yulan He

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009