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2020 – today
- 2023
[j10]Zeyu Huang
, Wenge Rong, Xiaofeng Zhang, Yuanxin Ouyang, Chenghua Lin, Zhang Xiong:
Token Relation Aware Chinese Named Entity Recognition. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(1): 24:1-24:21 (2023)- [c54]Tomas Goldsack, Zhihao Zhang, Chenghua Lin, Carolina Scarton:
Domain-Driven and Discourse-Guided Scientific Summarisation. ECIR (1) 2023: 361-376 - [c53]Shekoufeh Kolahdouz Rahimi, Kevin Lano, Chenghua Lin:
Requirement Formalisation Using Natural Language Processing and Machine Learning: A Systematic Review. MODELSWARD 2023: 237-244 - [i37]Ge Zhang, Yizhi Li, Yaoyao Wu, Linyuan Zhang, Chenghua Lin, Jiayi Geng, Shi Wang, Jie Fu:
CORGI-PM: A Chinese Corpus For Gender Bias Probing and Mitigation. CoRR abs/2301.00395 (2023) - [i36]Yucheng Li, Frank Guerin, Chenghua Lin:
The Secret of Metaphor on Expressing Stronger Emotion. CoRR abs/2301.13042 (2023) - [i35]Yucheng Li, Shun Wang, Chenghua Lin, Frank Guerin, Loïc Barrault:
FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning. CoRR abs/2302.04834 (2023) - [i34]Shun Wang, Yucheng Li, Chenghua Lin, Loïc Barrault, Frank Guerin:
Metaphor Detection with Effective Context Denoising. CoRR abs/2302.05611 (2023) - 2022
- [j9]Jia Wang, Min Gao, Zongwei Wang, Chenghua Lin, Wei Zhou, Junhao Wen:
Ada: Adversarial learning based data augmentation for malicious users detection. Appl. Soft Comput. 117: 108414 (2022) - [j8]Qianren Mao, Jianxin Li, Chenghua Lin, Congwen Chen, Hao Peng, Lihong Wang, Philip S. Yu:
Adaptive Pre-Training and Collaborative Fine-Tuning: A Win-Win Strategy to Improve Review Analysis Tasks. IEEE ACM Trans. Audio Speech Lang. Process. 30: 622-634 (2022) - [j7]Keqin Peng, Chuantao Yin, Wenge Rong, Chenghua Lin, Deyu Zhou, Zhang Xiong:
Named Entity Aware Transfer Learning for Biomedical Factoid Question Answering. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2365-2376 (2022) - [c52]Yucheng Li, Chenghua Lin, Frank Guerin:
CM-Gen: A Neural Framework for Chinese Metaphor Generation with Explicit Context Modelling. COLING 2022: 6468-6479 - [c51]Chen Tang, Chenghua Lin, Henglin Huang, Frank Guerin, Zhihao Zhang:
EtriCA: Event-Triggered Context-Aware Story Generation Augmented by Cross Attention. EMNLP (Findings) 2022: 5504-5518 - [c50]Yizhi Li, Wei Fan, Chao Liu, Chenghua Lin, Jiang Qian:
TranSHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction. EMNLP 2022: 8517-8528 - [c49]Tomas Goldsack, Zhihao Zhang, Chenghua Lin, Carolina Scarton:
Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature. EMNLP 2022: 10589-10604 - [c48]Henglin Huang, Chen Tang, Tyler Loakman, Frank Guerin, Chenghua Lin:
Improving Chinese Story Generation via Awareness of Syntactic Dependencies and Semantics. AACL/IJCNLP (2) 2022: 178-185 - [c47]Chen Tang, Zhihao Zhang, Tyler Loakman, Chenghua Lin, Frank Guerin:
NGEP: A Graph-based Event Planning Framework for Story Generation. AACL/IJCNLP (2) 2022: 186-193 - [c46]Yizhi Li, Ge Zhang, Bohao Yang, Chenghua Lin, Anton Ragni, Shi Wang, Jie Fu:
HERB: Measuring Hierarchical Regional Bias in Pre-trained Language Models. AACL/IJCNLP (Findings) 2022: 334-346 - [c45]Thomas Green, Diana Maynard, Chenghua Lin:
Development of a Benchmark Corpus to Support Entity Recognition in Job Descriptions. LREC 2022: 1201-1208 - [e4]Yulan He, Heng Ji, Yang Liu, Sujian Li, Chia-Hui Chang, Soujanya Poria, Chenghua Lin, Wray L. Buntine, Maria Liakata, Hanqi Yan, Zonghan Yan, Sebastian Ruder, Xiaojun Wan, Miguel Arana-Catania, Zhongyu Wei, Hen-Hsen Huang, Jheng-Long Wu, Min-Yuh Day, Pengfei Liu, Ruifeng Xu:
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, AACL/IJCNLP 2022 - Volume 1: Long Papers, Online Only, November 20-23, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-65-0 [contents] - [e3]Yulan He, Heng Ji, Yang Liu, Sujian Li, Chia-Hui Chang, Soujanya Poria, Chenghua Lin, Wray L. Buntine, Maria Liakata, Hanqi Yan, Zonghan Yan, Sebastian Ruder, Xiaojun Wan, Miguel Arana-Catania, Zhongyu Wei, Hen-Hsen Huang, Jheng-Long Wu, Min-Yuh Day, Pengfei Liu, Ruifeng Xu:
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, AACL/IJCNLP 2022 - Volume 2: Short Papers, Online only, November 20-23, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-64-3 [contents] - [e2]Yulan He, Heng Ji, Yang Liu, Sujian Li, Chia-Hui Chang, Soujanya Poria, Chenghua Lin, Wray L. Buntine, Maria Liakata, Hanqi Yan, Zonghan Yan, Sebastian Ruder, Xiaojun Wan, Miguel Arana-Catania, Zhongyu Wei, Hen-Hsen Huang, Jheng-Long Wu, Min-Yuh Day, Pengfei Liu, Ruifeng Xu:
Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, Online only, November 20-23, 2022. Association for Computational Linguistics 2022, ISBN 978-1-959429-04-3 [contents] - [i33]Chen Tang, Frank Guerin, Yucheng Li, Chenghua Lin:
Recent Advances in Neural Text Generation: A Task-Agnostic Survey. CoRR abs/2203.03047 (2022) - [i32]Yizhi Li, Wei Fan, Chao Liu, Chenghua Lin, Jiang Qian:
TransHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction. CoRR abs/2204.13221 (2022) - [i31]Yucheng Li, Chenghua Lin, Frank Guerin:
Nominal Metaphor Generation with Multitask Learning. CoRR abs/2206.05195 (2022) - [i30]Owen Millwood, Jack Miskelly, Bohao Yang, Prosanta Gope, Elif Kavun, Chenghua Lin:
PUF-Phenotype: A Robust and Noise-Resilient Approach to Aid Intra-Group-based Authentication with DRAM-PUFs Using Machine Learning. CoRR abs/2207.04692 (2022) - [i29]Tomas Goldsack, Zhihao Zhang, Chenghua Lin, Carolina Scarton:
Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature. CoRR abs/2210.09932 (2022) - [i28]Chen Tang, Zhihao Zhang, Tyler Loakman, Chenghua Lin, Frank Guerin:
NGEP: A Graph-based Event Planning Framework for Story Generation. CoRR abs/2210.10602 (2022) - [i27]Henglin Huang, Chen Tang, Tyler Loakman, Frank Guerin, Chenghua Lin:
Improving Chinese Story Generation via Awareness of Syntactic Dependencies and Semantics. CoRR abs/2210.10618 (2022) - [i26]Chen Tang, Chenghua Lin, Henglin Huang, Frank Guerin, Zhihao Zhang:
EtriCA: Event-Triggered Context-Aware Story Generation Augmented by Cross Attention. CoRR abs/2210.12463 (2022) - [i25]Chen Tang, Hongbo Zhang, Tyler Loakman, Chenghua Lin, Frank Guerin:
Terminology-aware Medical Dialogue Generation. CoRR abs/2210.15551 (2022) - [i24]Jianfei Zhang, Jun Bai, Chenghua Lin, Yanmeng Wang, Wenge Rong:
Improving Variational Autoencoders with Density Gap-based Regularization. CoRR abs/2211.00321 (2022) - [i23]Yizhi Li, Ge Zhang, Bohao Yang, Chenghua Lin, Shi Wang, Anton Ragni, Jie Fu:
HERB: Measuring Hierarchical Regional Bias in Pre-trained Language Models. CoRR abs/2211.02882 (2022) - [i22]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:
MAP-Music2Vec: A Simple and Effective Baseline for Self-Supervised Music Audio Representation Learning. CoRR abs/2212.02508 (2022) - [i21]Noor Fazilla Abd Yusof, Chenghua Lin:
Routine Outcome Monitoring in Psychotherapy Treatment using Sentiment-Topic Modelling Approach. CoRR abs/2212.08111 (2022) - 2021
- [c44]Yi Cheng, Siyao Li, Bang Liu, Ruihui Zhao, Sujian Li, Chenghua Lin, Yefeng Zheng:
Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting. ACL/IJCNLP (1) 2021: 5968-5978 - [c43]Yue Ding, Yuxiang Shi, Bo Chen, Chenghua Lin, Hongtao Lu, Jie Li, Ruiming Tang, Dong Wang:
Semi-deterministic and Contrastive Variational Graph Autoencoder for Recommendation. CIKM 2021: 382-391 - [c42]Xutan Peng, Yi Zheng, Chenghua Lin, Advaith Siddharthan:
Summarising Historical Text in Modern Languages. EACL 2021: 3123-3142 - [c41]Chengkun Zheng, Guanyi Chen, Chenghua Lin, Ruizhe Li, Zhi Chen:
Affective Decoding for Empathetic Response Generation. INLG 2021: 331-340 - [c40]Dingmin Wang, Chenghua Lin, Qi Liu, Kam-Fai Wong:
Fast and Scalable Dialogue State Tracking with Explicit Modular Decomposition. NAACL-HLT 2021: 289-295 - [c39]Xutan Peng, Guanyi Chen, Chenghua Lin, Mark Stevenson:
Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes Analysis. NAACL-HLT 2021: 2364-2375 - [c38]Xutan Peng, Chenghua Lin, Mark Stevenson:
Cross-Lingual Word Embedding Refinement by $\ell_1$ Norm Optimisation. NAACL-HLT 2021: 2690-2701 - [i20]Xutan Peng, Yi Zheng, Chenghua Lin, Advaith Siddharthan:
Summarising Historical Text in Modern Languages. CoRR abs/2101.10759 (2021) - [i19]Rui Mao, Chenghua Lin, Frank Guerin:
Combining Pre-trained Word Embeddings and Linguistic Features for Sequential Metaphor Identification. CoRR abs/2104.03285 (2021) - [i18]Rui Mao, Chenghua Lin, Frank Guerin:
Interpreting Verbal Metaphors by Paraphrasing. CoRR abs/2104.03391 (2021) - [i17]Xutan Peng, Guanyi Chen, Chenghua Lin, Mark Stevenson:
Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes Analysis. CoRR abs/2104.04676 (2021) - [i16]Xutan Peng, Chenghua Lin, Mark Stevenson:
Cross-Lingual Word Embedding Refinement by 𝓁1 Norm Optimisation. CoRR abs/2104.04916 (2021) - [i15]Yi Cheng, Siyao Li, Bang Liu, Ruihui Zhao, Sujian Li, Chenghua Lin, Yefeng Zheng:
Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting. CoRR abs/2105.11698 (2021) - [i14]Chengkun Zheng, Guanyi Chen, Chenghua Lin, Ruizhe Li, Zhigang Chen:
Affective Decoding for Empathetic Response Generation. CoRR abs/2108.08102 (2021) - [i13]Mohamad Hardyman Barawi, Chenghua Lin, Advaith Siddharthan, Yinbin Liu:
Extractive and Abstractive Sentence Labelling of Sentiment-bearing Topics. CoRR abs/2108.12822 (2021) - [i12]Ruizhe Li, Xutan Peng, Chenghua Lin:
On the Latent Holes of VAEs for Text Generation. CoRR abs/2110.03318 (2021) - [i11]Jiayuan Ding, Tong Xiang, Zijing Ou, Wangyang Zuo, Ruihui Zhao, Chenghua Lin, Yefeng Zheng, Bang Liu:
Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation. CoRR abs/2110.06354 (2021) - 2020
- [j6]Ebuka Ibeke, Chenghua Lin, Adam Wyner, Mohamad Hardyman Barawi:
A unified latent variable model for contrastive opinion mining. Frontiers Comput. Sci. 14(2): 404-416 (2020) - [c37]Ruizhe Li, Xiao Li, Guanyi Chen, Chenghua Lin:
Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation. COLING 2020: 2381-2397 - [c36]Xiao Li, Guanyi Chen, Chenghua Lin, Ruizhe Li:
DGST: a Dual-Generator Network for Text Style Transfer. EMNLP (1) 2020: 7131-7136 - [c35]Xiao Li, Chenghua Lin, Ruizhe Li, Chaozheng Wang, Frank Guerin:
Latent Space Factorisation and Manipulation via Matrix Subspace Projection. ICML 2020: 5916-5926 - [c34]Ruizhe Li, Xutan Peng, Chenghua Lin, Wenge Rong, Zhigang Chen:
On the Low-density Latent Regions of VAE-based Language Models. Preregister@NeurIPS 2020: 343-357 - [i10]Xutan Peng, Chenghua Lin, Mark Stevenson, Chen Li:
Revisiting the linearity in cross-lingual embedding mappings: from a perspective of word analogies. CoRR abs/2004.01079 (2020) - [i9]Dingmin Wang, Chenghua Lin, Li Zhong, Kam-Fai Wong:
Dialogue State Tracking with Pretrained Encoder for Multi-domain Trask-oriented Dialogue Systems. CoRR abs/2004.10663 (2020) - [i8]Xiao Li, Kees van Deemter, Chenghua Lin:
A Text Reassembling Approach to Natural Language Generation. CoRR abs/2005.07988 (2020) - [i7]Xiao Li, Guanyi Chen, Chenghua Lin, Ruizhe Li:
DGST: a Dual-Generator Network for Text Style Transfer. CoRR abs/2010.14557 (2020) - [i6]Ruizhe Li, Xiao Li, Guanyi Chen, Chenghua Lin:
Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation. CoRR abs/2011.01136 (2020) - [i5]Jing Su, Chenghua Lin, Mian Zhou, Qingyun Dai, Haoyu Lv:
Generating Descriptions for Sequential Images with Local-Object Attention and Global Semantic Context Modelling. CoRR abs/2012.01295 (2020)
2010 – 2019
- 2019
- [j5]Xiangchun Yu, Zhezhou Yu, Lei Wu, Wei Pang, Chenghua Lin:
Data-driven two-layer visual dictionary structure learning. J. Electronic Imaging 28(2): 023006 (2019) - [c33]Rui Mao, Chenghua Lin, Frank Guerin:
End-to-End Sequential Metaphor Identification Inspired by Linguistic Theories. ACL (1) 2019: 3888-3898 - [c32]Ruizhe Li, Chenghua Lin, Matthew Collinson, Xiao Li, Guanyi Chen:
A Dual-Attention Hierarchical Recurrent Neural Network for Dialogue Act Classification. CoNLL 2019: 383-392 - [c31]Guanyi Chen, Kees van Deemter, Silvia Pagliaro, Louk Smalbil, Chenghua Lin:
QTUNA: A Corpus for Understanding How Speakers Use Quantification. INLG 2019: 124-129 - [c30]Guanyi Chen, Kees van Deemter, Chenghua Lin:
Generating Quantified Descriptions of Abstract Visual Scenes. INLG 2019: 529-539 - [c29]Ruizhe Li, Xiao Li, Chenghua Lin, Matthew Collinson, Rui Mao:
A Stable Variational Autoencoder for Text Modelling. INLG 2019: 594-599 - [e1]Kees van Deemter, Chenghua Lin, Hiroya Takamura:
Proceedings of the 12th International Conference on Natural Language Generation, INLG 2019, Tokyo, Japan, October 29 - November 1, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-94-9 [contents] - [i4]Xiao Li, Chenghua Lin, Chaozheng Wang, Frank Guerin:
Latent Space Factorisation and Manipulation via Matrix Subspace Projection. CoRR abs/1907.12385 (2019) - [i3]Wenjun Liao, Chenghua Lin:
Deep Ensemble Learning for News Stance Detection. CoRR abs/1909.12233 (2019) - [i2]Ruizhe Li, Xiao Li, Chenghua Lin, Matthew Collinson, Rui Mao:
A Stable Variational Autoencoder for Text Modelling. CoRR abs/1911.05343 (2019) - 2018
- [c28]Rui Mao, Chenghua Lin, Frank Guerin:
Word Embedding and WordNet Based Metaphor Identification and Interpretation. ACL (1) 2018: 1222-1231 - [c27]Guanyi Chen, Kees van Deemter, Chenghua Lin:
SimpleNLG-ZH: a Linguistic Realisation Engine for Mandarin. INLG 2018: 57-66 - [c26]Guanyi Chen, Kees van Deemter, Chenghua Lin:
Modelling Pro-drop with the Rational Speech Acts Model. INLG 2018: 159-164 - [c25]Xiao Li, Kees van Deemter, Chenghua Lin:
Statistical NLG for Generating the Content and Form of Referring Expressions. INLG 2018: 482-491 - [c24]Noor Fazilla Abd Yusof, Chenghua Lin, Frank Guerin:
Assessing the Effectiveness of Affective Lexicons for Depression Classification. NLDB 2018: 65-69 - [c23]Agung Toto Wibowo, Advaith Siddharthan, Judith Masthoff, Chenghua Lin:
Understanding how to Explain Package Recommendations in the Clothes Domain. IntRS@RecSys 2018: 74-78 - [c22]Rui Mao, Guanyi Chen, Ruizhe Li, Chenghua Lin:
ABDN at SemEval-2018 Task 10: Recognising Discriminative Attributes using Context Embeddings and WordNet. SemEval@NAACL-HLT 2018: 1017-1021 - [c21]Agung Toto Wibowo, Advaith Siddharthan, Judith Masthoff, Chenghua Lin:
Incorporating Constraints into Matrix Factorization for Clothes Package Recommendation. UMAP 2018: 111-119 - [r2]Noor Fazilla Abd Yusof, Chenghua Lin, Yulan He:
Sentiment Analysis in Social Media. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i1]Ruizhe Li, Chenghua Lin, Matthew Collinson, Xiao Li, Guanyi Chen:
A Dual-Attention Hierarchical Recurrent Neural Network for Dialogue Act Classification. CoRR abs/1810.09154 (2018) - 2017
- [c20]Noor Fazilla Abd Yusof, Chenghua Lin, Frank Guerin:
Analysing the Causes of Depressed Mood from Depression Vulnerable Individuals. DDDSM@IJCNLP 2017: 9-17 - [c19]Ebuka Ibeke, Chenghua Lin, Adam Z. Wyner, Mohamad Hardyman Barawi:
Extracting and Understanding Contrastive Opinion through Topic Relevant Sentences. IJCNLP(2) 2017: 395-400 - [c18]Mohamad Hardyman Barawi, Chenghua Lin, Advaith Siddharthan:
Automatically Labelling Sentiment-Bearing Topics with Descriptive Sentence Labels. NLDB 2017: 299-312 - [c17]Agung Toto Wibowo, Advaith Siddharthan, Chenghua Lin, Judith Masthoff:
Matrix Factorization for Package Recommendations. ComplexRec@RecSys 2017: 23-28 - 2016
- [c16]Xiao Li, Kees van Deemter, Chenghua Lin:
Statistics-Based Lexical Choice for NLG from Quantitative Information. INLG 2016: 104-108 - 2015
- [j4]Chenghua Lin, Dong Liu, Wei Pang, Zhe Wang:
Sherlock: A Semi-automatic Framework for Quiz Generation Using a Hybrid Semantic Similarity Measure. Cogn. Comput. 7(6): 667-679 (2015) - [j3]Chenghua Lin, Ebuka Ibeke, Adam Z. Wyner, Frank Guerin:
Sentiment-topic modeling in text mining. WIREs Data Mining Knowl. Discov. 5(5): 246-254 (2015) - [c15]Chenghua Lin, Dong Liu, Wei Pang, Edward Apeh:
Automatically Predicting Quiz Difficulty Level Using Similarity Measures. K-CAP 2015: 1:1-1:8 - [c14]Julius Cepukenas, Chenghua Lin, Derek H. Sleeman:
Applying Rule Extraction & Rule Refinement techniques to (Blackbox) Classifiers. K-CAP 2015: 27:1-27:5 - [c13]Xiwu Han, Antonio A. R. Ioris, Chenghua Lin:
Web as Corpus Supporting Natural Language Generation for Online River Information Communication. WWW (Companion Volume) 2015: 363-364 - 2014
- [c12]Chen Luo, Renchu Guan, Zhe Wang, Chenghua Lin:
HetPathMine: A Novel Transductive Classification Algorithm on Heterogeneous Information Networks. ECIR 2014: 210-221 - [c11]Chen Luo, Wei Pang, Zhe Wang, Chenghua Lin:
Hete-CF: Social-Based Collaborative Filtering Recommendation Using Heterogeneous Relations. ICDM 2014: 917-922 - [c10]Dong Liu, Chenghua Lin:
Sherlock: a Semi-Automatic Quiz Generation System using Linked Data. ISWC (Posters & Demos) 2014: 9-12 - [r1]Chenghua Lin, Yulan He:
Sentiment Analysis in Social Media. Encyclopedia of Social Network Analysis and Mining 2014: 1688-1699 - 2013
- [j2]Yulan He, Chenghua Lin, Wei Gao, Kam-Fai Wong:
Dynamic joint sentiment-topic model. ACM Trans. Intell. Syst. Technol. 5(1): 6:1-6:21 (2013) - 2012
- [j1]Chenghua Lin, Yulan He, Richard M. Everson, Stefan M. Rüger:
Weakly Supervised Joint Sentiment-Topic Detection from Text. IEEE Trans. Knowl. Data Eng. 24(6): 1134-1145 (2012) - [c9]Carlos Pedrinaci, Dong Liu, Chenghua Lin, John Domingue:
Harnessing the Crowds for Automating the Identification of Web APIs. AAAI Spring Symposium: Intelligent Web Services Meet Social Computing 2012 - [c8]Yulan He, Chenghua Lin, Wei Gao, Kam-Fai Wong:
Tracking Sentiment and Topic Dynamics from Social Media. ICWSM 2012 - [c7]Chenghua Lin, Yulan He, Carlos Pedrinaci, John Domingue:
Feature LDA: A Supervised Topic Model for Automatic Detection of Web API Documentations from the Web. ISWC (1) 2012: 328-343 - [c6]Yulan He, Chenghua Lin, Amparo Elizabeth Cano:
Online Sentiment and Topic Dynamics Tracking over the Streaming Data. SocialCom/PASSAT 2012: 258-266 - 2011
- [b1]Chenghua Lin:
Probabilistic topic models for sentiment analysis on the Web. University of Exeter, UK, 2011 - [c5]Yulan He, Chenghua Lin, Harith Alani:
Automatically Extracting Polarity-Bearing Topics for Cross-Domain Sentiment Classification. ACL 2011: 123-131 - [c4]Chenghua Lin, Yulan He, Richard M. Everson:
Sentence Subjectivity Detection with Weakly-Supervised Learning. IJCNLP 2011: 1153-1161 - 2010
- [c3]Chenghua Lin, Yulan He, Richard M. Everson:
A Comparative Study of Bayesian Models for Unsupervised Sentiment Detection. CoNLL 2010: 144-152
2000 – 2009
Coauthor Index