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Chenghua Lin
Chenghua Lin
Professor of Natural Language Processing, University of Manchester
Verified email at manchester.ac.uk - Homepage
Title
Cited by
Cited by
Year
Joint sentiment/topic model for sentiment analysis
C Lin, Y He
ACM conference on Information and knowledge management (CIKM), 375-384, 2009
13212009
Weakly supervised joint sentiment-topic detection from text
C Lin, Y He, R Everson, S Ruger
IEEE Transactions on Knowledge and Data engineering (TKDE) 24 (6), 1134-1145, 2011
4402011
Opinion mining and Sentiment analysis
C Lin, N Yusof, Y He
Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2017
215*2017
Automatically extracting polarity-bearing topics for cross-domain sentiment classification
Y He, C Lin, H Alani
Annual Meeting of the Association for Computational Linguistics (ACL), 2011
2052011
Hete-cf: Social-based Collaborative Filtering Recommendation using Heterogeneous Relations
C Luo, W Pang, Z Wang, C Lin
International Conference on Data Mining (ICDM), 917-922, 2014
1772014
Word Embedding and WordNet Based Metaphor Identification and Interpretation
R Mao, C Lin, F Guerin
Annual Meeting of the Association for Computational Linguistics (ACL), 2018
1582018
End-to-End Sequential Metaphor Identification Inspired by Linguistic Theories
R Mao, C Lin, F Guerin
Annual Meeting of the Association for Computational Linguistics (ACL), 2019
1282019
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training
LI Yizhi, R Yuan, G Zhang, Y Ma, X Chen, H Yin, C Xiao, C Lin, A Ragni, ...
International Conference on Learning Representations (ICLR), 2023
89*2023
Dynamic joint sentiment-topic model
Y He, C Lin, W Gao, KF Wong
ACM Transactions on Intelligent Systems and Technology (TIST) 5 (1), 1-21, 2014
842014
A Dual-Attention Hierarchical Recurrent Neural Network for Dialogue Act Classification
R Li, C Lin, M Collinson, X Li, G Chen
Conference on Computational Natural Language Learning (CoNLL), 2019
762019
Sentence subjectivity detection with weakly-supervised learning
C Lin, Y He, R Everson
International Joint Conference on Natural Language Processing (IJCNLP), 1153 …, 2011
732011
A comparative study of Bayesian models for unsupervised sentiment detection
C Lin, Y He, R Everson
Conference on Computational Natural Language Learning (CoNLL), 144-152, 2010
722010
Compressing Context to Enhance Inference Efficiency of Large Language Models
Y Li, B Dong, F Guerin, C Lin
Empirical Methods in Natural Language Processing (EMNLP), 2023
702023
Hetpathmine: A novel transductive classification algorithm on heterogeneous information networks
C Luo, R Guan, Z Wang, C Lin
European Conference on IR Research (ECIR), 2014
662014
Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature
T Goldsack, Z Zhang, C Lin, C Scarton
Empirical Methods in Natural Language Processing (EMNLP), 2022
592022
Interactive natural language processing
Z Wang, G Zhang, K Yang, N Shi, W Zhou, S Hao, G Xiong, Y Li, MY Sim, ...
arXiv preprint arXiv:2305.13246, 2023
512023
Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting
Y Cheng, S Li, B Liu, R Zhao, S Li, C Lin, Y Zheng
Annual Conference of the Association for Computational Linguistics (ACL), 2021
512021
Latent Space Factorisation and Manipulation via Matrix Subspace Projection
X Li, C Lin, C Wang, R Li, F Guerin
International Conference on Machine Learning (ICML), 2020
452020
A Stable Variational Autoencoder for Text Modelling
R Li, X Li, C Lin, M Collinson, R Mao
International Conference on Natural Language Generation (INLG), 2019
392019
Overview of the biolaysumm 2024 shared task on the lay summarization of biomedical research articles
T Goldsack, C Scarton, M Shardlow, C Lin
The 23rd Workshop on Biomedical Natural Language Processing and BioNLP …, 2024
342024
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Articles 1–20