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2020 – today
- 2024
[j16]Chen Tang, Tyler Loakman, Chenghua Lin:
A cross-attention augmented model for event-triggered context-aware story generation. Comput. Speech Lang. 88: 101662 (2024)- [j15]Zhihao Zhang
, Yuan Zuo, Chenghua Lin, Junjie Wu:
Language model as an Annotator: Unsupervised context-aware quality phrase generation. Knowl. Based Syst. 283: 111175 (2024) - [j14]Yinqiu Huang, Min Gao, Kai Shu, Chenghua Lin, Jia Wang, Wei Zhou:
EML: Emotion-Aware Meta Learning for Cross-Event False Information Detection. ACM Trans. Knowl. Discov. Data 18(8): 185:1-185:25 (2024) - [c95]Yucheng Li, Frank Guerin, Chenghua Lin:
LatestEval: Addressing Data Contamination in Language Model Evaluation through Dynamic and Time-Sensitive Test Construction. AAAI 2024: 18600-18607 - [c94]Zhihao Zhang, Tomas Goldsack, Carolina Scarton, Chenghua Lin:
ATLAS: Improving Lay Summarisation with Attribute-based Control. ACL (Short Papers) 2024: 337-345 - [c93]Ruibin Yuan, Hanfeng Lin, Yi Wang, Zeyue Tian, Shangda Wu, Tianhao Shen, Ge Zhang, Yuhang Wu, Cong Liu, Ziya Zhou, Liumeng Xue, Ziyang Ma, Qin Liu, Tianyu Zheng, Yizhi Li, Yinghao Ma, Yiming Liang, Xiaowei Chi, Ruibo Liu, Zili Wang, Chenghua Lin, Qifeng Liu, Tao Jiang, Wenhao Huang, Wenhu Chen, Jie Fu, Emmanouil Benetos, Gus Xia, Roger B. Dannenberg, Wei Xue, Shiyin Kang, Yike Guo:
ChatMusician: Understanding and Generating Music Intrinsically with LLM. ACL (Findings) 2024: 6252-6271 - [c92]Yizhi Li, Ge Zhang, Xingwei Qu, Jiali Li, Zhaoqun Li, Noah Wang, Hao Li, Ruibin Yuan, Yinghao Ma, Kai Zhang, Wangchunshu Zhou, Yiming Liang, Lei Zhang, Lei Ma, Jiajun Zhang, Zuowen Li, Wenhao Huang, Chenghua Lin, Jie Fu:
CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models. ACL (Findings) 2024: 12431-12446 - [c91]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:
SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval. ACL (Findings) 2024: 12560-12574 - [c90]Yiqi Liu, Nafise Sadat Moosavi, Chenghua Lin:
LLMs as Narcissistic Evaluators: When Ego Inflates Evaluation Scores. ACL (Findings) 2024: 12688-12701 - [c89]Kun Zhao, Bohao Yang, Chen Tang, Chenghua Lin, Liang Zhan:
SLIDE: A Framework Integrating Small and Large Language Models for Open-Domain Dialogues Evaluation. ACL (Findings) 2024: 15421-15435 - [c88]Tomas Goldsack, Carolina Scarton, Matthew Shardlow, Chenghua Lin:
Overview of the BioLaySumm 2024 Shared Task on the Lay Summarization of Biomedical Research Articles. BioNLP@ACL 2024: 122-131 - [c87]Yujie Shao, Xinrong Yao, Xingwei Qu, Chenghua Lin, Shi Wang, Wenhao Huang, Ge Zhang, Jie Fu:
CMDAG: A Chinese Metaphor Dataset with Annotated Grounds as CoT for Boosting Metaphor Generation. LREC/COLING 2024: 3357-3366 - [c86]Bohao Yang, Chen Tang, Kun Zhao, Chenghao Xiao, Chenghua Lin:
Effective Distillation of Table-based Reasoning Ability from LLMs. LREC/COLING 2024: 5538-5550 - [c85]Yucheng Li, Yunhao Guo, Frank Guerin, Chenghua Lin:
An Open-Source Data Contamination Report for Large Language Models. EMNLP (Findings) 2024: 528-541 - [c84]Tyler Loakman, Yucheng Li, Chenghua Lin:
With Ears to See and Eyes to Hear: Sound Symbolism Experiments with Multimodal Large Language Models. EMNLP 2024: 2849-2867 - [c83]Joseph James, Chenghao Xiao, Yucheng Li, Chenghua Lin:
On the Rigour of Scientific Writing: Criteria, Analysis, and Insights. EMNLP (Findings) 2024: 6523-6538 - [c82]Shun Wang, Ge Zhang, Han Wu, Tyler Loakman, Wenhao Huang, Chenghua Lin:
MMTE: Corpus and Metrics for Evaluating Machine Translation Quality of Metaphorical Language. EMNLP 2024: 11343-11358 - [c81]Jun Bai, Zhuofan Chen, Zhenzi Li, Hanhua Hong, Jianfei Zhang, Chen Li, Chenghua Lin, Wenge Rong:
Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking. EMNLP 2024: 12356-12374 - [c80]Yizheng Sun, Hao Li, Chenghua Lin, Riza Batista-Navarro:
LanViKD: Cross-Modal Language-Vision Knowledge Distillation for Egocentric Action Recognition. HAII5.0@ECAI 2024 - [c79]Bohao Yang, Chen Tang, Chenghua Lin:
Improving Medical Dialogue Generation with Abstract Meaning Representations. ICASSP 2024: 11826-11830 - [c78]Yizhi Li, Ruibin Yuan, Ge Zhang, Yinghao Ma, Xingran Chen, Hanzhi Yin, Chenghao Xiao, Chenghua Lin, Anton Ragni, Emmanouil Benetos, Norbert Gyenge, Roger B. Dannenberg, Ruibo Liu, Wenhu Chen, Gus Xia, Yemin Shi, Wenhao Huang, Zili Wang, Yike Guo, Jie Fu:
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training. ICLR 2024 - [c77]Chen Tang, Hongbo Zhang, Tyler Loakman, Bohao Yang, Stefan Goetze, Chenghua Lin:
CADGE: Context-Aware Dialogue Generation Enhanced with Graph-Structured Knowledge Aggregation. INLG 2024: 371-383 - [c76]Shekoufeh Kolahdouz Rahimi, Kevin Lano, Sobhan Yassipour Tehrani, Chenghua Lin, Yiqi Liu, Muhammad Aminu Umar:
Comparative Evaluation of NLP Approaches for Requirements Formalisation. MODELSWARD 2024: 125-132 - [c75]Xingwei Qu, Ge Zhang, Siwei Wu, Yizhi Li, Chenghua Lin:
Overview of the NLPCC 2024 Shared Task on Chinese Metaphor Generation. NLPCC (5) 2024: 181-192 - [i102]Tianyu Zheng, Shuyue Guo, Xingwei Qu, Jiawei Guo, Weixu Zhang, Xinrun Du, Chenghua Lin, Wenhao Huang, Wenhu Chen, Jie Fu, Ge Zhang:
Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-Translation. CoRR abs/2401.06477 (2024) - [i101]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:
CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark. CoRR abs/2401.11944 (2024) - [i100]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:
SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval. CoRR abs/2401.13478 (2024) - [i99]Yucheng Li, Frank Guerin, Chenghua Lin:
Finding Challenging Metaphors that Confuse Pretrained Language Models. CoRR abs/2401.16012 (2024) - [i98]Yucheng Li, Yunhao Guo, Frank Guerin, Chenghua Lin:
Evaluating Large Language Models for Generalization and Robustness via Data Compression. CoRR abs/2402.00861 (2024) - [i97]Chenghao Xiao, Zhuoxu Huang, Danlu Chen, G. Thomas Hudson, Yizhi Li, Haoran Duan, Chenghua Lin, Jie Fu, Jungong Han, Noura Al Moubayed:
Pixel Sentence Representation Learning. CoRR abs/2402.08183 (2024) - [i96]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:
CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models. CoRR abs/2402.13109 (2024) - [i95]Yujie Shao, Xinrong Yao, Xingwei Qu, Chenghua Lin, Shi Wang, Stephen W. Huang, Ge Zhang, Jie Fu:
CMDAG: A Chinese Metaphor Dataset with Annotated Grounds as CoT for Boosting Metaphor Generation. CoRR abs/2402.13145 (2024) - [i94]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:
ChatMusician: Understanding and Generating Music Intrinsically with LLM. CoRR abs/2402.16153 (2024) - [i93]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:
DEEP-ICL: Definition-Enriched Experts for Language Model In-Context Learning. CoRR abs/2403.04233 (2024) - [i92]Tyler Loakman, Chen Tang, Chenghua Lin:
Train & Constrain: Phonologically Informed Tongue-Twister Generation from Topics and Paraphrases. CoRR abs/2403.13901 (2024) - [i91]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:
COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning. CoRR abs/2403.18058 (2024) - [i90]Bohao Yang, Kun Zhao, Chen Tang, Liang Zhan, Chenghua Lin:
Structured Information Matters: Incorporating Abstract Meaning Representation into LLMs for Improved Open-Domain Dialogue Evaluation. CoRR abs/2404.01129 (2024) - [i89]Xingwei Qu, Yuelin Bai, Yinghao Ma, Ziya Zhou, Ka Man Lo, Jiaheng Liu, Ruibin Yuan, Lejun Min, Xueling Liu, Tianyu Zhang, Xinrun Du, Shuyue Guo, Yiming Liang, Yizhi Li, Shangda Wu, Junting Zhou, Tianyu Zheng, Ziyang Ma, Fengze Han, Wei Xue, Gus Xia, Emmanouil Benetos, Xiang Yue, Chenghua Lin, Xu Tan, Stephen W. Huang, Wenhu Chen, Jie Fu, Ge Zhang:
MuPT: A Generative Symbolic Music Pretrained Transformer. CoRR abs/2404.06393 (2024) - [i88]Tyler Loakman, Chenghua Lin:
ReproHum #0087-01: Human Evaluation Reproduction Report for Generating Fact Checking Explanations. CoRR abs/2404.17481 (2024) - [i87]Qixin Deng, Qikai Yang, Ruibin Yuan, Yipeng Huang, Yi Wang, Xubo Liu, Zeyue Tian, Jiahao Pan, Ge Zhang, Hanfeng Lin, Yizhi Li, Yinghao Ma, Jie Fu, Chenghua Lin, Emmanouil Benetos, Wenwu Wang, Guangyu Xia, Wei Xue, Yike Guo:
ComposerX: Multi-Agent Symbolic Music Composition with LLMs. CoRR abs/2404.18081 (2024) - [i86]Kun Zhao, Bohao Yang, Chen Tang, Chenghua Lin, Liang Zhan:
SLIDE: A Framework Integrating Small and Large Language Models for Open-Domain Dialogues Evaluation. CoRR abs/2405.15924 (2024) - [i85]Ge Zhang, Scott Qu, Jiaheng Liu, Chenchen Zhang, Chenghua Lin, Chou Leuang Yu, Danny Pan, Esther Cheng, Jie Liu, Qunshu Lin, Raven Yuan, Tuney Zheng, Wei Pang, Xinrun Du, Yiming Liang, Yinghao Ma, Yizhi Li, Ziyang Ma, Bill Y. Lin, Emmanouil Benetos, Huan Yang, Junting Zhou, Kaijing Ma, Minghao Liu, Morry Niu, Noah Wang, Quehry Que, Ruibo Liu, Sine Liu, Shawn Guo, Soren Gao, Wangchunshu Zhou, Xinyue Zhang, Yizhi Zhou, Yubo Wang, Yuelin Bai, Yuhan Zhang, Yuxiang Zhang, Zenith Wang, Zhenzhu Yang, Zijian Zhao, Jiajun Zhang, Wanli Ouyang, Wenhao Huang, Wenhu Chen:
MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series. CoRR abs/2405.19327 (2024) - [i84]Zhihao Zhang, Tomas Goldsack, Carolina Scarton, Chenghua Lin:
ATLAS: Improving Lay Summarisation with Attribute-based Control. CoRR abs/2406.05625 (2024) - [i83]Shun Wang, Ge Zhang, Han Wu, Tyler Loakman, Wenhao Huang, Chenghua Lin:
MMTE: Corpus and Metrics for Evaluating Machine Translation Quality of Metaphorical Language. CoRR abs/2406.13698 (2024) - [i82]Kun Zhao, Chenghao Xiao, Chen Tang, Bohao Yang, Kai Ye, Noura Al Moubayed, Liang Zhan, Chenghua Lin:
X-ray Made Simple: Radiology Report Generation and Evaluation with Layman's Terms. CoRR abs/2406.17911 (2024) - [i81]Bohao Yang, Dong Liu, Chen Tang, Chenghao Xiao, Kun Zhao, Chao Li, Lin Yuan, Guang Yang, Lanxiao Huang, Chenghua Lin:
SimsChat: A Customisable Persona-Driven Role-Playing Agent. CoRR abs/2406.17962 (2024) - [i80]Chen Tang, Bohao Yang, Kun Zhao, Bo Lv, Chenghao Xiao, Frank Guerin, Chenghua Lin:
BioMNER: A Dataset for Biomedical Method Entity Recognition. CoRR abs/2406.20038 (2024) - [i79]Kunquan Deng, Zeyu Huang, Chen Li, Chenghua Lin, Min Gao, Wenge Rong:
PFME: A Modular Approach for Fine-grained Hallucination Detection and Editing of Large Language Models. CoRR abs/2407.00488 (2024) - [i78]Siwei Wu, Kang Zhu, Yu Bai, Yiming Liang, Yizhi Li, Haoning Wu, Jiaheng Liu, Ruibo Liu, Xingwei Qu, Xuxin Cheng, Ge Zhang, Wenhao Huang, Chenghua Lin:
MMRA: A Benchmark for Multi-granularity Multi-image Relational Association. CoRR abs/2407.17379 (2024) - [i77]Xingwei Qu, Ge Zhang, Siwei Wu, Yizhi Li, Chenghua Lin:
Overview of the NLPCC 2024 Shared Task on Chinese Metaphor Generation. CoRR abs/2408.04378 (2024) - [i76]Yiming Liang, Ge Zhang, Xingwei Qu, Tianyu Zheng, Jiawei Guo, Xinrun Du, Zhenzhu Yang, Jiaheng Liu, Chenghua Lin, Lei Ma, Wenhao Huang, Jiajun Zhang:
I-SHEEP: Self-Alignment of LLM from Scratch through an Iterative Self-Enhancement Paradigm. CoRR abs/2408.08072 (2024) - [i75]Tomas Goldsack, Carolina Scarton, Matthew Shardlow, Chenghua Lin:
Overview of the BioLaySumm 2024 Shared Task on the Lay Summarization of Biomedical Research Articles. CoRR abs/2408.08566 (2024) - [i74]Yinghao Ma, Anders Øland, Anton Ragni, Bleiz Macsen Del Sette, Charalampos Saitis, Chris Donahue, Chenghua Lin, Christos Plachouras, Emmanouil Benetos, Elio Quinton, Elona Shatri, Fabio Morreale, Ge Zhang, György Fazekas, Gus Xia, Huan Zhang, Ilaria Manco, Jiawen Huang, Julien Guinot, Liwei Lin, Luca Marinelli, Max W. Y. Lam, Megha Sharma, Qiuqiang Kong, Roger B. Dannenberg, Ruibin Yuan, Shangda Wu, Shih-Lun Wu, Shuqi Dai, Shun Lei, Shiyin Kang, Simon Dixon, Wenhu Chen, Wenhao Huang, Xingjian Du, Xingwei Qu, Xu Tan, Yizhi Li, Zeyue Tian, Zhiyong Wu, Zhizheng Wu, Ziyang Ma, Ziyu Wang:
Foundation Models for Music: A Survey. CoRR abs/2408.14340 (2024) - [i73]King Zhu, Qianbo Zang, Shian Jia, Siwei Wu, Feiteng Fang, Yizhi Li, Shawn Gavin, Tuney Zheng, Jiawei Guo, Bo Li, Haoning Wu, Xingwei Qu, Jian Yang, Zachary Liu, Xiang Yue, J. H. Liu, Chenghua Lin, Min Yang, Shiwen Ni, Wenhao Huang, Ge Zhang:
LIME: Less Is More for MLLM Evaluation. CoRR abs/2409.06851 (2024) - [i72]Siwei Wu, Jinzheng He, Ruibin Yuan, Haojie Wei, Xipin Wei, Chenghua Lin, Jin Xu, Junyang Lin:
SongTrans: An unified song transcription and alignment method for lyrics and notes. CoRR abs/2409.14619 (2024) - [i71]Tyler Loakman, Yucheng Li, Chenghua Lin:
With Ears to See and Eyes to Hear: Sound Symbolism Experiments with Multimodal Large Language Models. CoRR abs/2409.14917 (2024) - [i70]Yizhi Li, Ge Zhang, Yinghao Ma, Ruibin Yuan, Kang Zhu, Hangyu Guo, Yiming Liang, Jiaheng Liu, Jian Yang, Siwei Wu, Xingwei Qu, Jinjie Shi, Xinyue Zhang, Zhenzhu Yang, Xiangzhou Wang, Zhaoxiang Zhang, Zachary Liu, Emmanouil Benetos, Wenhao Huang, Chenghua Lin:
OmniBench: Towards The Future of Universal Omni-Language Models. CoRR abs/2409.15272 (2024) - [i69]Jun Bai, Zhuofan Chen, Zhenzi Li, Hanhua Hong, Jianfei Zhang, Chen Li, Chenghua Lin, Wenge Rong:
Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking. CoRR abs/2409.16198 (2024) - [i68]Tomas Goldsack, Yang Wang, Chenghua Lin, Chung-Chi Chen:
From Facts to Insights: A Study on the Generation and Evaluation of Analytical Reports for Deciphering Earnings Calls. CoRR abs/2410.01039 (2024) - [i67]Joseph James, Chenghao Xiao, Yucheng Li, Chenghua Lin:
On the Rigour of Scientific Writing: Criteria, Analysis, and Insights. CoRR abs/2410.04981 (2024) - [i66]William Thorne, Ambrose Robinson, Bohua Peng, Chenghua Lin, Diana Maynard:
Increasing the Difficulty of Automatically Generated Questions via Reinforcement Learning with Synthetic Preference. CoRR abs/2410.08289 (2024) - 2023
- [j13]Zhihao Zhang, Xinnian Liang, Yuan Zuo, Chenghua Lin:
Improving unsupervised keyphrase extraction by modeling hierarchical multi-granularity features. Inf. Process. Manag. 60(4): 103356 (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) - [c74]Yucheng Li, Shun Wang, Chenghua Lin, Frank Guerin:
Metaphor Detection via Explicit Basic Meanings Modelling. ACL (2) 2023: 91-100 - [c73]Kun Zhao, Bohao Yang, Chenghua Lin, Wenge Rong, Aline Villavicencio, Xiaohui Cui:
Evaluating Open-Domain Dialogues in Latent Space with Next Sentence Prediction and Mutual Information. ACL (1) 2023: 562-574 - [c72]Tyler Loakman, Chen Tang, Chenghua Lin:
TwistList: Resources and Baselines for Tongue Twister Generation. ACL (2) 2023: 579-589 - [c71]Chen Tang, Hongbo Zhang, Tyler Loakman, Chenghua Lin, Frank Guerin:
Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregation. ACL (1) 2023: 4604-4616 - [c70]Tomas Goldsack, Zheheng Luo, Qianqian Xie, Carolina Scarton, Matthew Shardlow, Sophia Ananiadou, Chenghua Lin:
BioLaySumm 2023 Shared Task: Lay Summarisation of Biomedical Research Articles. BioNLP@ACL 2023: 468-477 - [c69]Shun Wang, Yucheng Li, Chenghua Lin, Loïc Barrault, Frank Guerin:
Metaphor Detection with Effective Context Denoising. EACL 2023: 1396-1401 - [c68]Yucheng Li, Shun Wang, Chenghua Lin, Frank Guerin, Loïc Barrault:
FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning. EACL 2023: 1550-1555 - [c67]Tomas Goldsack, Zhihao Zhang, Chenghua Lin, Carolina Scarton:
Domain-Driven and Discourse-Guided Scientific Summarisation. ECIR (1) 2023: 361-376 - [c66]Chen Tang, Shun Wang, Tomas Goldsack, Chenghua Lin:
Improving Biomedical Abstractive Summarisation with Knowledge Aggregation from Citation Papers. EMNLP 2023: 606-618 - [c65]Chenghao Xiao, Yizhi Li, G. Thomas Hudson, Chenghua Lin, Noura Al Moubayed:
Length is a Curse and a Blessing for Document-level Semantics. EMNLP 2023: 1385-1396 - [c64]Weifeng Jiang, Qianren Mao, Chenghua Lin, Jianxin Li, Ting Deng, Weiyi Yang, Zheng Wang:
DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining. EMNLP 2023: 4015-4030 - [c63]Junnan Liu, Qianren Mao, Chenghua Lin, Yangqiu Song, Jianxin Li:
LATENTLOGIC: Learning Logic Rules in Latent Space over Knowledge Graphs. EMNLP (Findings) 2023: 4578-4586 - [c62]Jun Bai, Xiaofeng Zhang, Chen Li, Hanhua Hong, Xi Xu, Chenghua Lin, Wenge Rong:
How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey. EMNLP (Findings) 2023: 5369-5382 - [c61]Yucheng Li, Bo Dong, Frank Guerin, Chenghua Lin:
Compressing Context to Enhance Inference Efficiency of Large Language Models. EMNLP 2023: 6342-6353 - [c60]Tyler Loakman, Aaron Maladry, Chenghua Lin:
The Iron(ic) Melting Pot: Reviewing Human Evaluation in Humour, Irony and Sarcasm Generation. EMNLP (Findings) 2023: 6676-6689 - [c59]Tomas Goldsack, Zhihao Zhang, Chen Tang, Carolina Scarton, Chenghua Lin:
Enhancing Biomedical Lay Summarisation with External Knowledge Graphs. EMNLP 2023: 8016-8032 - [c58]Chen Tang, Hongbo Zhang, Tyler Loakman, Chenghua Lin, Frank Guerin:
Terminology-Aware Medical Dialogue Generation. ICASSP 2023: 1-5 - [c57]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:
LyricWhiz: Robust Multilingual Zero-Shot Lyrics Transcription by Whispering to ChatGPT. ISMIR 2023: 343-351 - [c56]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:
On the Effectiveness of Speech Self-Supervised Learning for Music. ISMIR 2023: 457-465 - [c55]Shekoufeh Kolahdouz Rahimi, Kevin Lano, Chenghua Lin:
Requirement Formalisation Using Natural Language Processing and Machine Learning: A Systematic Review. MODELSWARD 2023: 237-244 - [c54]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:
MARBLE: Music Audio Representation Benchmark for Universal Evaluation. NeurIPS 2023 - [i65]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) - [i64]Yucheng Li, Frank Guerin, Chenghua Lin:
The Secret of Metaphor on Expressing Stronger Emotion. CoRR abs/2301.13042 (2023) - [i63]Yucheng Li, Shun Wang, Chenghua Lin, Frank Guerin, Loïc Barrault:
FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning. CoRR abs/2302.04834 (2023) - [i62]Shun Wang, Yucheng Li, Chenghua Lin, Loïc Barrault, Frank Guerin:
Metaphor Detection with Effective Context Denoising. CoRR abs/2302.05611 (2023) - [i61]Shekoufeh Kolahdouz Rahimi, Kevin Lano, Chenghua Lin:
Requirement Formalisation using Natural Language Processing and Machine Learning: A Systematic Review. CoRR abs/2303.13365 (2023) - [i60]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) - [i59]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) - [i58]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) - [i57]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) - [i56]Kun Zhao, Bohao Yang, Chenghua Lin, Wenge Rong, Aline Villavicencio, Xiaohui Cui:
Evaluating Open-Domain Dialogues in Latent Space with Next Sentence Prediction and Mutual Information. CoRR abs/2305.16967 (2023) - [i55]Yucheng Li, Shun Wang, Chenghua Lin, Frank Guerin:
Metaphor Detection via Explicit Basic Meanings Modelling. CoRR abs/2305.17268 (2023) - [i54]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:
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training. CoRR abs/2306.00107 (2023) - [i53]Tyler Loakman, Chen Tang, Chenghua Lin:
TwistList: Resources and Baselines for Tongue Twister Generation. CoRR abs/2306.03457 (2023) - [i52]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:
MARBLE: Music Audio Representation Benchmark for Universal Evaluation. CoRR abs/2306.10548 (2023) - [i51]Chen Tang, Hongbo Zhang, Tyler Loakman, Chenghua Lin, Frank Guerin:
Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregation. CoRR abs/2306.16195 (2023) - [i50]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:
LyricWhiz: Robust Multilingual Zero-shot Lyrics Transcription by Whispering to ChatGPT. CoRR abs/2306.17103 (2023) - [i49]Yinghao Ma, Ruibin Yuan, Yizhi Li, Ge Zhang, Xingran Chen, Hanzhi Yin, Chenghua Lin, Emmanouil Benetos, Anton Ragni, Norbert Gyenge, Ruibo Liu, Gus Xia, Roger B. Dannenberg, Yike Guo, Jie Fu:
On the Effectiveness of Speech Self-supervised Learning for Music. CoRR abs/2307.05161 (2023) - [i48]Bohao Yang, Chen Tang, Chenghua Lin:
Improving Medical Dialogue Generation with Abstract Meaning Representations. CoRR abs/2309.10608 (2023) - [i47]Yang Wang, Qibin Liang, Chenghao Xiao, Yizhi Li, Noura Al Moubayed, Chenghua Lin:
Audio Contrastive based Fine-tuning. CoRR abs/2309.11895 (2023) - [i46]Bohao Yang, Chen Tang, Kun Zhao, Chenghao Xiao, Chenghua Lin:
Effective Distillation of Table-based Reasoning Ability from LLMs. CoRR abs/2309.13182 (2023) - [i45]Tomas Goldsack, Zheheng Luo, Qianqian Xie, Carolina Scarton, Matthew Shardlow, Sophia Ananiadou, Chenghua Lin:
Overview of the BioLaySumm 2023 Shared Task on Lay Summarization of Biomedical Research Articles. CoRR abs/2309.17332 (2023) - [i44]Yucheng Li, Bo Dong, Chenghua Lin, Frank Guerin:
Compressing Context to Enhance Inference Efficiency of Large Language Models. CoRR abs/2310.06201 (2023) - [i43]Chen Tang, Shun Wang, Tomas Goldsack, Chenghua Lin:
Improving Biomedical Abstractive Summarisation with Knowledge Aggregation from Citation Papers. CoRR abs/2310.15684 (2023) - [i42]Tomas Goldsack, Zhihao Zhang, Chen Tang, Carolina Scarton, Chenghua Lin:
Enhancing Biomedical Lay Summarisation with External Knowledge Graphs. CoRR abs/2310.15702 (2023) - [i41]Chenghao Xiao, Yizhi Li, G. Thomas Hudson, Chenghua Lin, Noura Al Moubayed:
Length is a Curse and a Blessing for Document-level Semantics. CoRR abs/2310.16193 (2023) - [i40]Chen Tang, Frank Guerin, Chenghua Lin:
ACL Anthology Helper: A Tool to Retrieve and Manage Literature from ACL Anthology. CoRR abs/2310.20467 (2023) - [i39]Tyler Loakman, Aaron Maladry, Chenghua Lin:
The Iron(ic) Melting Pot: Reviewing Human Evaluation in Humour, Irony and Sarcasm Generation. CoRR abs/2311.05552 (2023) - [i38]Yiqi Liu, Nafise Sadat Moosavi, Chenghua Lin:
LLMs as Narcissistic Evaluators: When Ego Inflates Evaluation Scores. CoRR abs/2311.09766 (2023) - [i37]Chen Tang, Tyler Loakman, Chenghua Lin:
A Cross-Attention Augmented Model for Event-Triggered Context-Aware Story Generation. CoRR abs/2311.11271 (2023) - [i36]Jun Bai, Xiaofeng Zhang, Chen Li, Hanhua Hong, Xi Xu, Chenghua Lin, Wenge Rong:
How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey. CoRR abs/2312.04775 (2023) - [i35]Yucheng Li, Frank Guerin, Chenghua Lin:
LatestEval: Addressing Data Contamination in Language Model Evaluation through Dynamic and Time-Sensitive Test Construction. CoRR abs/2312.12343 (2023) - [i34]Zhihao Zhang, Yuan Zuo, Chenghua Lin, Junjie Wu:
Language Model as an Annotator: Unsupervised Context-aware Quality Phrase Generation. CoRR abs/2312.17349 (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
Coauthor Index
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OpenAlex data
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last updated on 2024-11-19 20:49 CET by the dblp team
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