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2020 – today
- 2023
[j12]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)- [j11]Owen Millwood, Jack Miskelly, Bohao Yang, Prosanta Gope, Elif Bilge Kavun, Chenghua Lin:
PUF-Phenotype: A Robust and Noise-Resilient Approach to Aid Group-Based Authentication With DRAM-PUFs Using Machine Learning. IEEE Trans. Inf. Forensics Secur. 18: 2451-2465 (2023) - [c57]Shun Wang, Yucheng Li, Chenghua Lin, Loïc Barrault, Frank Guerin:
Metaphor Detection with Effective Context Denoising. EACL 2023: 1396-1401 - [c56]Yucheng Li, Shun Wang, Chenghua Lin, Frank Guerin, Loïc Barrault:
FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning. EACL 2023: 1550-1555 - [c55]Tomas Goldsack, Zhihao Zhang, Chenghua Lin, Carolina Scarton:
Domain-Driven and Discourse-Guided Scientific Summarisation. ECIR (1) 2023: 361-376 - [c54]Shekoufeh Kolahdouz Rahimi, Kevin Lano, Chenghua Lin:
Requirement Formalisation Using Natural Language Processing and Machine Learning: A Systematic Review. MODELSWARD 2023: 237-244 - [i42]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) - [i41]Yucheng Li, Frank Guerin, Chenghua Lin:
The Secret of Metaphor on Expressing Stronger Emotion. CoRR abs/2301.13042 (2023) - [i40]Yucheng Li, Shun Wang, Chenghua Lin, Frank Guerin, Loïc Barrault:
FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning. CoRR abs/2302.04834 (2023) - [i39]Shun Wang, Yucheng Li, Chenghua Lin, Loïc Barrault, Frank Guerin:
Metaphor Detection with Effective Context Denoising. CoRR abs/2302.05611 (2023) - [i38]Shekoufeh Kolahdouz Rahimi, Kevin Lano, Chenghua Lin:
Requirement Formalisation using Natural Language Processing and Machine Learning: A Systematic Review. CoRR abs/2303.13365 (2023) - [i37]Ge Zhang, Yemin Shi, Ruibo Liu, Ruibin Yuan, Yizhi Li, Siwei Dong, Yu Shu, Zhaoqun Li, Zekun Wang, Chenghua Lin, Wenhao Huang, Jie Fu:
Chinese Open Instruction Generalist: A Preliminary Release. CoRR abs/2304.07987 (2023) - [i36]Hongbo Zhang, Chen Tang, Tyler Loakman, Chenghua Lin, Stefan Goetze:
CADGE: Context-Aware Dialogue Generation Enhanced with Graph-Structured Knowledge Aggregation. CoRR abs/2305.06294 (2023) - [i35]Weifeng Jiang, Qianren Mao, Jianxin Li, Chenghua Lin, Weiyi Yang, Ting Deng, Zheng Wang:
DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining. CoRR abs/2305.12074 (2023) - [i34]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:
Interactive Natural Language Processing. CoRR abs/2305.13246 (2023) - 2022
- [j10]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) - [j9]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) - [j8]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) - [j7]Xutan Peng, Mark Stevenson, Chenghua Lin, Chen Li:
Understanding Linearity of Cross-Lingual Word Embedding Mappings. Trans. Mach. Learn. Res. 2022 (2022) - [c53]Yucheng Li, Chenghua Lin, Frank Guerin:
CM-Gen: A Neural Framework for Chinese Metaphor Generation with Explicit Context Modelling. COLING 2022: 6468-6479 - [c52]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 - [c51]Yizhi Li, Wei Fan, Chao Liu, Chenghua Lin, Jiang Qian:
TranSHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction. EMNLP 2022: 8517-8528 - [c50]Tomas Goldsack, Zhihao Zhang, Chenghua Lin, Carolina Scarton:
Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature. EMNLP 2022: 10589-10604 - [c49]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 - [c48]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 - [c47]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 - [c46]Thomas Green, Diana Maynard, Chenghua Lin:
Development of a Benchmark Corpus to Support Entity Recognition in Job Descriptions. LREC 2022: 1201-1208 - [c45]Jianfei Zhang, Jun Bai, Chenghua Lin, Yanmeng Wang, Wenge Rong:
Improving Variational Autoencoders with Density Gap-based Regularization. NeurIPS 2022 - [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 Bilge 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
- 2009
- [c2]