Lin Gui

Orcid: 0000-0002-8054-9524

Affiliations:
  • King's College London, UK
  • Harbin Institute of Technology, Shenzhen Graduate School, China (former)
  • Fuzhou University, College of Mathematics and Computer Science, Fujian, China (former)


According to our database1, Lin Gui authored at least 106 papers between 2012 and 2024.

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Bibliography

2024
Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models.
CoRR, 2024

Counterfactual Generation with Identifiability Guarantees.
CoRR, 2024

Mirror: A Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning.
CoRR, 2024

Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond.
CoRR, 2024

Multi-modal Stance Detection: New Datasets and Model.
CoRR, 2024

COPR: Continual Human Preference Learning via Optimal Policy Regularization.
CoRR, 2024

Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives.
CoRR, 2024

NarrativePlay: Interactive Narrative Understanding.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

NarrativePlay: An Automated System for Crafting Visual Worlds in Novels for Role-Playing.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Multi-perspective contrastive learning framework guided by sememe knowledge and label information for sarcasm detection.
Int. J. Mach. Learn. Cybern., December, 2023

Few-shot Aspect Category Sentiment Analysis via Meta-learning.
ACM Trans. Inf. Syst., January, 2023

Embedding Refinement Framework for Targeted Aspect-Based Sentiment Analysis.
IEEE Trans. Affect. Comput., 2023

The Mystery and Fascination of LLMs: A Comprehensive Survey on the Interpretation and Analysis of Emergent Abilities.
CoRR, 2023

COPF: Continual Learning Human Preference through Optimal Policy Fitting.
CoRR, 2023

OverPrompt: Enhancing ChatGPT Capabilities through an Efficient In-Context Learning Approach.
CoRR, 2023

Explainable Recommender with Geometric Information Bottleneck.
CoRR, 2023

NewsQuote: A Dataset Built on Quote Extraction and Attribution for Expert Recommendation in Fact-Checking.
CoRR, 2023

Event Knowledge Incorporation with Posterior Regularization for Event-Centric Question Answering.
CoRR, 2023

Tracking Brand-Associated Polarity-Bearing Topics in User Reviews.
CoRR, 2023

CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Cone: Unsupervised Contrastive Opinion Extraction.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Uncertainty Quantification for Text Classification.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Counterfactual Generation with Identifiability Guarantees.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Scalable Framework for Table of Contents Extraction from Complex ESG Annual Reports.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Distilling ChatGPT for Explainable Automated Student Answer Assessment.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Do Topic and Causal Consistency Affect Emotion Cognition? A Graph Interactive Network for Conversational Emotion Detection.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

PANACEA: An Automated Misinformation Detection System on COVID-19.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. EACL 2023, 2023

Distinguishability Calibration to In-Context Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Time Machine: Generative Real-Time Model for Failure (and Lead Time) Prediction in HPC Systems.
Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Network, 2023

Document-Level Multi-Event Extraction with Event Proxy Nodes and Hausdorff Distance Minimization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Multi Task Mutual Learning for Joint Sentiment Classification and Topic Detection.
IEEE Trans. Knowl. Data Eng., 2022

Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks.
Knowl. Based Syst., 2022

Sememe knowledge and auxiliary information enhanced approach for sarcasm detection.
Inf. Process. Manag., 2022

Hierarchical Interpretation of Neural Text Classification.
Comput. Linguistics, 2022

Zero-Shot Stance Detection via Contrastive Learning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Addressing token uniformity in transformers via singular value transformation.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Multi-Task Sequence Tagging for Emotion-Cause Pair Extraction Via Tag Distribution Refinement.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Understanding patient reviews with minimum supervision.
Artif. Intell. Medicine, 2021

Target-adaptive Graph for Cross-target Stance Detection.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Affective Dependency Graph for Sarcasm Detection.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Multi-Modal Sarcasm Detection with Interactive In-Modal and Cross-Modal Graphs.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Prediction of TF-Binding Site by Inclusion of Higher Order Position Dependencies.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

EL_LSTM: Prediction of DNA-Binding Residue from Protein Sequence by Combining Long Short-Term Memory and Ensemble Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Ensemble with estimation: seeking for optimization in class noisy data.
Int. J. Mach. Learn. Cybern., 2020

Commonsense Knowledge Enhanced Memory Network for Stance Classification.
IEEE Intell. Syst., 2020

CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question Answering.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Aspect-invariant Sentiment Features Learning: Adversarial Multi-task Learning for Aspect-based Sentiment Analysis.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Transition-based Directed Graph Construction for Emotion-Cause Pair Extraction.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
TDAM: A topic-dependent attention model for sentiment analysis.
Inf. Process. Manag., 2019

Inferring user profiles in social media by joint modeling of text and networks.
Sci. China Inf. Sci., 2019

MTTFsite: cross-cell type TF binding site prediction by using multi-task learning.
Bioinform., 2019

Convolution-Based Neural Attention With Applications to Sentiment Classification.
IEEE Access, 2019

Neural Topic Model with Reinforcement Learning.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Negative transfer detection in transductive transfer learning.
Int. J. Mach. Learn. Cybern., 2018

Convolution-based Memory Network for Aspect-based Sentiment Analysis.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

An End-to-End Scalable Iterative Sequence Tagging with Multi-Task Learning.
Proceedings of the Natural Language Processing and Chinese Computing, 2018

2017
Inferring Affective Meanings of Words from Word Embedding.
IEEE Trans. Affect. Comput., 2017

Learning representations from heterogeneous network for sentiment classification of product reviews.
Knowl. Based Syst., 2017

Prediction of DNA-binding residues from sequence information using convolutional neural network.
Int. J. Data Min. Bioinform., 2017

A Question Answering Approach to Emotion Cause Extraction.
CoRR, 2017

A convolutional attentional neural network for sentiment classification.
Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

Inferring User Profile Using Microblog Content and Friendship Network.
Proceedings of the Social Media Processing - 6th National Conference, 2017

Overview of NTCIR-13 ECA Task.
Proceedings of the 13th NTCIR Conference, 2017

A Tensor Factorization Based User Influence Analysis Method with Clustering and Temporal Constraint.
Proceedings of the Natural Language Processing and Chinese Computing, 2017

A Convolutional Attention Model for Text Classification.
Proceedings of the Natural Language Processing and Chinese Computing, 2017

Affective State Prediction of Contextualized Concepts.
Proceedings of the 1st IJCAI Workshop on Artificial Intelligence in Affective Computing (AffComp 2017), 2017

Stance Classification with Target-specific Neural Attention.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A Question Answering Approach for Emotion Cause Extraction.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Leveraging Target-Oriented Information for Stance Classification.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2017

2016
Incorporating multi-kernel function and Internet verification for Chinese person name disambiguation.
Frontiers Comput. Sci., 2016

Disease named entity recognition by combining conditional random fields and bidirectional recurrent neural networks.
Database J. Biol. Databases Curation, 2016

Emotion Cause Extraction, A Challenging Task with Corpus Construction.
Proceedings of the Social Media Processing - 5th National Conference, 2016

Extracting Opinion Expression with Neural Attention.
Proceedings of the Social Media Processing - 5th National Conference, 2016

Overview of NLPCC Shared Task 4: Stance Detection in Chinese Microblogs.
Proceedings of the Natural Language Understanding and Intelligent Applications, 2016

Intersubjectivity and Sentiment: From Language to Knowledge.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A sequence level latent topic modeling method for sentiment analysis via CNN based Diversified Restrict Boltzmann Machine.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

Event-Driven Emotion Cause Extraction with Corpus Construction.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Towards Scalable Emotion Classification in Microblog Based on Noisy Training Data.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2016

CNNsite: Prediction of DNA-binding residues in proteins using Convolutional Neural Network with sequence features.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Cross lingual opinion holder extraction based on multi-kernel SVMs and transfer learning.
World Wide Web, 2015

Improving Transfer Learning in Cross Lingual Opinion Analysis Through Negative Transfer Detection.
Proceedings of the Knowledge Science, Engineering and Management, 2015

A Novel Class Noise Estimation Method and Application in Classification.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

A Joint Model for Chinese Microblog Sentiment Analysis.
Proceedings of the Eighth SIGHAN Workshop on Chinese Language Processing, 2015

DLG-Hypertree: A Low-Diameter, Server-centric Datacenter Network Architecture.
Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2014
Emotion Cause Detection with Linguistic Construction in Chinese Weibo Text.
Proceedings of the Natural Language Processing and Chinese Computing, 2014

Financial named entity recognition based on conditional random fields and information entropy.
Proceedings of the 2014 International Conference on Machine Learning and Cybernetics, 2014

A Storm-Based Real-Time Micro-Blogging Burst Event Detection System.
Proceedings of the Machine Learning and Cybernetics, 2014

Credibility Estimation of Stock Comments Based on Publisher and Information Uncertainty Evaluation.
Proceedings of the Machine Learning and Cybernetics, 2014

Cross-lingual Opinion Analysis via Negative Transfer Detection.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
A Mixed Model for Cross Lingual Opinion Analysis.
Proceedings of the Natural Language Processing and Chinese Computing, 2013

Burst events detection on micro-blogging.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

2012
Incorporating Rule-based and Statistic-based Techniques for Coreference Resolution.
Proceedings of the Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012


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