Best Topic Word Selection for Topic Labelling. - Jey Han Lau; David Newman 001; Sarvnaz Karimi; Timothy Baldwin (COLING (Posters), 2010)

Automatic Evaluation of Topic Coherence. - David Newman 001; Jey Han Lau; Karl Grieser; Timothy Baldwin (HLT-NAACL, 2010)

Automatic Labelling of Topic Models. - Jey Han Lau; Karl Grieser; David Newman 001; Timothy Baldwin (ACL, 2011)

On-line Trend Analysis with Topic Models: #twitter Trends Detection Topic Model Online. - Jey Han Lau; Nigel Collier; Timothy Baldwin (COLING, 2012)

Bayesian Text Segmentation for Index Term Identification and Keyphrase Extraction. - David Newman 001; Nagendra Koilada; Jey Han Lau; Timothy Baldwin (COLING, 2012)

Word Sense Induction for Novel Sense Detection. - Jey Han Lau; Paul Cook; Diana McCarthy; David Newman 001; Timothy Baldwin (EACL, 2012)

Unsupervised Word Class Induction for Under-resourced Languages: A Case Study on Indonesian. - Meladel Mistica; Jey Han Lau; Timothy Baldwin (IJCNLP, 2013)

unimelb: Topic Modelling-based Word Sense Induction for Web Snippet Clustering. - Jey Han Lau; Paul Cook; Timothy Baldwin (SemEval@NAACL-HLT, 2013)

unimelb: Topic Modelling-based Word Sense Induction. - Jey Han Lau; Paul Cook; Timothy Baldwin (SemEval@NAACL-HLT, 2013)

On collocations and topic models. - Jey Han Lau; Timothy Baldwin; David Newman 001 (ACM Trans. Speech Lang. Process., 2013)

Improving the utility of topic models: an uncut gem does not sparkle. - Jey Han Lau (2013)

Learning Word Sense Distributions, Detecting Unattested Senses and Identifying Novel Senses Using Topic Models. - Jey Han Lau; Paul Cook; Diana McCarthy; Spandana Gella; Timothy Baldwin (ACL (1), 2014)

Measuring Gradience in Speakers' Grammaticality Judgements. - Jey Han Lau; Alexander Clark; Shalom Lappin (CogSci, 2014)

Novel Word-sense Identification. - Paul Cook; Jey Han Lau; Diana McCarthy; Timothy Baldwin (COLING, 2014)

Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality. - Jey Han Lau; David Newman 001; Timothy Baldwin (EACL, 2014)

Representing topics labels for exploring digital libraries. - Nikolaos Aletras; Timothy Baldwin; Jey Han Lau; Mark Stevenson 001 (JCDL, 2014)

Automatic Detection and Language Identification of Multilingual Documents. - Marco Lui; Jey Han Lau; Timothy Baldwin (Trans. Assoc. Comput. Linguistics, 2014)

Unsupervised Prediction of Acceptability Judgements. - Jey Han Lau; Alexander Clark; Shalom Lappin (ACL (1), 2015)

TM 2015 - Topic Models: Post-Processing and Applications Workshop. - Nikolaos Aletras; Jey Han Lau; Timothy Baldwin; Mark Stevenson 001 (CIKM, 2015)

LexSemTm: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning. - Andrew Bennett; Timothy Baldwin; Jey Han Lau; Diana McCarthy; Francis Bond (ACL (1), 2016)

Automatic Labelling of Topics with Neural Embeddings. - Shraey Bhatia; Jey Han Lau; Timothy Baldwin (COLING, 2016)

The Sensitivity of Topic Coherence Evaluation to Topic Cardinality. - Jey Han Lau; Timothy Baldwin (HLT-NAACL, 2016)

An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation. - Jey Han Lau; Timothy Baldwin (Rep4NLP@ACL, 2016)

Decoupling Encoder and Decoder Networks for Abstractive Document Summarization. - Ying Xu; Jey Han Lau; Timothy Baldwin; Trevor Cohn (MultiLing@EACL, 2017)

Topically Driven Neural Language Model. - Jey Han Lau; Timothy Baldwin; Trevor Cohn (ACL (1), 2017)

An Automatic Approach for Document-level Topic Model Evaluation. - Shraey Bhatia; Jey Han Lau; Timothy Baldwin (CoNLL, 2017)

Multimodal Topic Labelling. - Ionut Sorodoc; Jey Han Lau; Nikolaos Aletras; Timothy Baldwin (EACL (2), 2017)

End-to-end Network for Twitter Geolocation Prediction and Hashing. - Jey Han Lau; Lianhua Chi; Khoi-Nguyen Tran; Trevor Cohn (IJCNLP(1), 2017)

Detecting Duplicate Posts in Programming QA Communities via Latent Semantics and Association Rules. - Wei Emma Zhang; Quan Z. Sheng; Jey Han Lau; Ermyas Abebe (WWW, 2017)

Grammaticality, Acceptability, and Probability: A Probabilistic View of Linguistic Knowledge. - Jey Han Lau; Alexander Clark; Shalom Lappin (Cogn. Sci., 2017)

Evaluating topic representations for exploring document collections. - Nikolaos Aletras; Timothy Baldwin; Jey Han Lau; Mark Stevenson 001 (J. Assoc. Inf. Sci. Technol., 2017)

Deep-speare: A joint neural model of poetic language, meter and rhyme. - Jey Han Lau; Trevor Cohn; Timothy Baldwin; Julian Brooke; Adam Hammond (ACL (1), 2018)

The Influence of Context on Sentence Acceptability Judgements. - Jean-Philippe Bernardy; Shalom Lappin; Jey Han Lau (ACL (2), 2018)

Preferred Answer Selection in Stack Overflow: Better Text Representations ... and Metadata, Metadata, Metadata. - Steven Xu; Andrew Bennett; Doris Hoogeveen; Jey Han Lau; Timothy Baldwin (NUT@EMNLP, 2018)

Document Chunking and Learning Objective Generation for Instruction Design. - Khoi-Nguyen Tran; Jey Han Lau; Danish Contractor; Utkarsh Gupta; Bikram Sengupta; Christopher J. Butler; Mukesh K. Mohania (EDM, 2018)

Topic Intrusion for Automatic Topic Model Evaluation. - Shraey Bhatia; Jey Han Lau; Timothy Baldwin (EMNLP, 2018)

Evaluating Word Embedding Hyper-Parameters for Similarity and Analogy Tasks. - Maryam Fanaeepour; Adam Makarucha; Jey Han Lau (CoRR, 2018)

Duplicate Detection in Programming Question Answering Communities. - Wei Emma Zhang; Quan Z. Sheng; Jey Han Lau; Ermyas Abebe; Wenjie Ruan (ACM Trans. Internet Techn., 2018)

Improved Document Modelling with a Neural Discourse Parser. - Fajri Koto; Jey Han Lau; Timothy Baldwin (ALTA, 2019)

From Shakespeare to Li-Bai: Adapting a Sonnet Model to Chinese Poetry. - Zhuohan Xie; Jey Han Lau; Trevor Cohn (ALTA, 2019)

Discovering Relevant Reviews for Answering Product-Related Queries. - Shiwei Zhang; Jey Han Lau; Xiuzhen Zhang 001; Jeffrey Chan; Cécile Paris (ICDM, 2019)

Early Rumour Detection. - Kaimin Zhou; Chang Shu; Binyang Li; Jey Han Lau (NAACL-HLT (1), 2019)

Give Me Convenience and Give Her Death: Who Should Decide What Uses of NLP are Appropriate, and on What Basis? - Kobi Leins; Jey Han Lau; Timothy Baldwin (ACL, 2020)

#DemocratsAreDestroyingAmerica: Rumour Analysis on Twitter During COVID-19. - Lin Tian; Xiuzhen Zhang 001; Jey Han Lau (CIKM (Workshops), 2020)

IndoLEM and IndoBERT: A Benchmark Dataset and Pre-trained Language Model for Indonesian NLP. - Fajri Koto; Afshin Rahimi 001; Jey Han Lau; Timothy Baldwin (COLING, 2020)

Liputan6: A Large-scale Indonesian Dataset for Text Summarization. - Fajri Koto; Jey Han Lau; Timothy Baldwin (AACL/IJCNLP, 2020)

Forget Me Not: Reducing Catastrophic Forgetting for Domain Adaptation in Reading Comprehension. - Ying Xu; Xu Zhong; Antonio José Jimeno-Yepes; Jey Han Lau (IJCNN, 2020)

Less Is More: Rejecting Unreliable Reviews for Product Question Answering. - Shiwei Zhang; Xiuzhen Zhang 001; Jey Han Lau; Jeffrey Chan; Cécile Paris (ECML/PKDD (3), 2020)

Elephant in the Room: An Evaluation Framework for Assessing Adversarial Examples in NLP. - Ying Xu; Xu Zhong; Antonio José Jimeno-Yepes; Jey Han Lau (CoRR, 2020)

You are right. I am ALARMED - But by Climate Change Counter Movement. - Shraey Bhatia; Jey Han Lau; Timothy Baldwin (CoRR, 2020)

COVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research. - Karin Verspoor; Simon Suster; Yulia Otmakhova 001; Shevon Mendis; Zenan Zhai; Biaoyan Fang; Jey Han Lau; Timothy Baldwin; Antonio Jimeno-Yepes; David Martínez 001 (CoRR, 2020)

Learning Contextualised Cross-lingual Word Embeddings for Extremely Low-Resource Languages Using Parallel Corpora. - Takashi Wada 001; Tomoharu Iwata; Yuji Matsumoto 001; Timothy Baldwin; Jey Han Lau (CoRR, 2020)

How Furiously Can Colourless Green Ideas Sleep? Sentence Acceptability in Context. - Jey Han Lau; Carlos Santos Armendariz; Matthew Purver; Chang Shu; Shalom Lappin (Trans. Assoc. Comput. Linguistics, 2020)

Exploring Story Generation with Multi-task Objectives in Variational Autoencoders. - Zhuohan Xie; Jey Han Lau; Trevor Cohn (ALTA, 2021)

Findings on Conversation Disentanglement. - Rongxin Zhu; Jey Han Lau; Jianzhong Qi 001 (ALTA, 2021)

Semi-automatic Triage of Requests for Free Legal Assistance. - Meladel Mistica; Jey Han Lau; Brayden Merrifield; Kate Fazio; Timothy Baldwin (NLLP@EMNLP, 2021)

Evaluating the Efficacy of Summarization Evaluation across Languages. - Fajri Koto; Jey Han Lau; Timothy Baldwin (ACL/IJCNLP (Findings), 2021)

Top-down Discourse Parsing via Sequence Labelling. - Fajri Koto; Jey Han Lau; Timothy Baldwin (EACL, 2021)

Brief Description of COVID-SEE: The Scientific Evidence Explorer for COVID-19 Related Research. - Karin Verspoor; Simon Suster; Yulia Otmakhova 001; Shevon Mendis; Zenan Zhai; Biaoyan Fang; Jey Han Lau; Timothy Baldwin; Antonio Jimeno-Yepes; David Martínez 001 (ECIR (2), 2021)

IndoBERTweet: A Pretrained Language Model for Indonesian Twitter with Effective Domain-Specific Vocabulary Initialization. - Fajri Koto; Jey Han Lau; Timothy Baldwin (EMNLP (1), 2021)

Impact of detecting clinical trial elements in exploration of COVID-19 literature. - Simon Suster; Karin Verspoor; Timothy Baldwin; Jey Han Lau; Antonio Jimeno-Yepes; David Martinez Iraola; Yulia Otmakhova 001 (ICHI, 2021)

UniMF: A Unified Framework to Incorporate Multimodal Knowledge Bases intoEnd-to-End Task-Oriented Dialogue Systems. - Shiquan Yang; Rui Zhang 003; Sarah M. Erfani; Jey Han Lau (IJCAI, 2021)

Automatic Classification of Neutralization Techniques in the Narrative of Climate Change Scepticism. - Shraey Bhatia; Jey Han Lau; Timothy Baldwin (NAACL-HLT, 2021)

Discourse Probing of Pretrained Language Models. - Fajri Koto; Jey Han Lau; Timothy Baldwin (NAACL-HLT, 2021)

Grey-box Adversarial Attack And Defence For Sentiment Classification. - Ying Xu; Xu Zhong; Antonio Jimeno-Yepes; Jey Han Lau (NAACL-HLT, 2021)

Rumour Detection via Zero-Shot Cross-Lingual Transfer Learning. - Lin Tian; Xiuzhen Zhang 001; Jey Han Lau (ECML/PKDD (1), 2021)

ITTC @ TREC 2021 Clinical Trials Track. - Hung-Thinh Truong; Yulia Otmakhova 001; Timothy Baldwin; Jey Han Lau; Trevor Cohn; Karin Verspoor; Rahmad Mahendra; Lawrence Cavedon; Damiano Spina (TREC, 2021)

Impact of detecting clinical trial elements in exploration of COVID-19 literature. - Simon Suster; Karin Verspoor; Timothy Baldwin; Jey Han Lau; Antonio Jimeno-Yepes; David Martínez 001; Yulia Otmakhova 001 (CoRR, 2021)

Automatic Claim Review for Climate Science via Explanation Generation. - Shraey Bhatia; Jey Han Lau; Timothy Baldwin (CoRR, 2021)

Automatic Explanation Generation For Climate Science Claims. - Rui Xing; Shraey Bhatia; Timothy Baldwin; Jey Han Lau (ALTA, 2022)

The patient is more dead than alive: exploring the current state of the multi-document summarisation of the biomedical literature. - Yulia Otmakhova 001; Karin Verspoor; Timothy Baldwin; Jey Han Lau (ACL (1), 2022)

One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia. - Alham Fikri Aji; Genta Indra Winata; Fajri Koto; Samuel Cahyawijaya; Ade Romadhony; Rahmad Mahendra; Kemal Kurniawan; David Moeljadi; Radityo Eko Prasojo; Timothy Baldwin; Jey Han Lau; Sebastian Ruder (ACL (1), 2022)

An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation. - Shiquan Yang; Rui Zhang 003; Sarah M. Erfani; Jey Han Lau (ACL (1), 2022)

Unsupervised Lexical Substitution with Decontextualised Embeddings. - Takashi Wada 001; Timothy Baldwin; Yuji Matsumoto 001; Jey Han Lau (COLING, 2022)

LED down the rabbit hole: exploring the potential of global attention for biomedical multi-document summarisation. - Yulia Otmakhova 001; Thinh Hung Truong; Timothy Baldwin; Trevor Cohn; Karin Verspoor; Jey Han Lau (SDP@COLING, 2022)

LipKey: A Large-Scale News Dataset for Absent Keyphrases Generation and Abstractive Summarization. - Fajri Koto; Timothy Baldwin; Jey Han Lau (COLING, 2022)

M3: Multi-level dataset for Multi-document summarisation of Medical studies. - Yulia Otmakhova 001; Karin Verspoor; Timothy Baldwin; Antonio Jimeno-Yepes; Jey Han Lau (EMNLP (Findings), 2022)

Robust Task-Oriented Dialogue Generation with Contrastive Pre-training and Adversarial Filtering. - Shiquan Yang; Xinting Huang; Jey Han Lau; Sarah M. Erfani (EMNLP (Findings), 2022)

Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal Negation. - Thinh Hung Truong; Yulia Otmakhova 001; Timothy Baldwin; Trevor Cohn; Jey Han Lau; Karin Verspoor (AACL/IJCNLP (1), 2022)

DUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation Networks. - Lin Tian; Xiuzhen Zhang 001; Jey Han Lau (NAACL-HLT, 2022)

NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages. - Genta Indra Winata; Alham Fikri Aji; Samuel Cahyawijaya; Rahmad Mahendra; Fajri Koto; Ade Romadhony; Kemal Kurniawan; David Moeljadi; Radityo Eko Prasojo; Pascale Fung; Timothy Baldwin; Jey Han Lau; et al. (CoRR, 2022)

FFCI: A Framework for Interpretable Automatic Evaluation of Summarization. - Fajri Koto; Timothy Baldwin; Jey Han Lau (J. Artif. Intell. Res., 2022)

Compressed Heterogeneous Graph for Abstractive Multi-Document Summarization. - Miao Li; Jianzhong Qi 001; Jey Han Lau (AAAI, 2023)

The uncivil empathy: Investigating the relation between empathy and toxicity in online mental health support forums. - Ming-Bin Chen; Jey Han Lau; Lea Frermann (ALTA, 2023)

Unsupervised Paraphrasing of Multiword Expressions. - Takashi Wada 001; Yuji Matsumoto 001; Timothy Baldwin; Jey Han Lau (ACL (Findings), 2023)

Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization. - Rongxin Zhu; Jianzhong Qi 001; Jey Han Lau (ACL (1), 2023)

Improving Visual-Semantic Embedding with Adaptive Pooling and Optimization Objective. - Zijian Zhang; Chang Shu; Ya Xiao 006; Yuan Shen; Di Zhu; Youxin Chen; Jing Xiao 006; Jey Han Lau; Qian Zhang 018; Zheng Lu 002 (EACL, 2023)

Unsupervised Lexical Simplification with Context Augmentation. - Takashi Wada 001; Timothy Baldwin; Jey Han Lau (EMNLP (Findings), 2023)

Summarizing Multiple Documents with Conversational Structure for Meta-Review Generation. - Miao Li; Eduard H. Hovy; Jey Han Lau (EMNLP (Findings), 2023)

DeltaScore: Fine-Grained Story Evaluation with Perturbations. - Zhuohan Xie; Miao Li; Trevor Cohn; Jey Han Lau (EMNLP (Findings), 2023)

The Next Chapter: A Study of Large Language Models in Storytelling. - Zhuohan Xie; Trevor Cohn; Jey Han Lau (INLG, 2023)

MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer Adapters. - Lin Tian; Xiuzhen Zhang 001; Jey Han Lau (WWW, 2023)

Open Domain Response Generation Guided by Retrieved Conversations. - Chang Shu; Zijian Zhang; Youxin Chen; Jing Xiao 006; Jey Han Lau; Qian Zhang 018; Zheng Lu 002 (IEEE Access, 2023)

Can Very Large Pretrained Language Models Learn Storytelling With A Few Examples? - Zhuohan Xie; Trevor Cohn; Jey Han Lau (CoRR, 2023)

DeltaScore: Evaluating Story Generation with Differentiating Perturbations. - Zhuohan Xie; Miao Li; Trevor Cohn; Jey Han Lau (CoRR, 2023)

Towards Summarizing Multiple Documents with Hierarchical Relationships. - Miao Li; Eduard H. Hovy; Jey Han Lau (CoRR, 2023)

MoDEM: Mixture of Domain Expert Models. - Toby Simonds; Kemal Kurniawan; Jey Han Lau (ALTA, 2024)

A Sentiment Consolidation Framework for Meta-Review Generation. - Miao Li; Jey Han Lau; Eduard H. Hovy (ACL (1), 2024)

CMA-R: Causal Mediation Analysis for Explaining Rumour Detection. - Lin Tian; Xiuzhen Zhang 001; Jey Han Lau (EACL (Findings), 2024)

KALE: An Artwork Image Captioning System Augmented with Heterogeneous Graph. - Yanbei Jiang; Krista A. Ehinger; Jey Han Lau (IJCAI, 2024)

To Aggregate or Not to Aggregate. That is the Question: A Case Study on Annotation Subjectivity in Span Prediction. - Kemal Kurniawan; Meladel Mistica; Timothy Baldwin; Jey Han Lau (WASSA, 2024)

Exploring Multi-Document Information Consolidation for Scientific Sentiment Summarization. - Miao Li; Jey Han Lau; Eduard H. Hovy (CoRR, 2024)

Evaluating Transparency of Machine Generated Fact Checking Explanations. - Rui Xing; Timothy Baldwin; Jey Han Lau (CoRR, 2024)

CNIMA: A Universal Evaluation Framework and Automated Approach for Assessing Second Language Dialogues. - Rena Gao; Jingxuan Wu; Carsten Roever; Xuetong Wu; Jing Wu; Long Lv; Jey Han Lau (CoRR, 2024)

REL: Working out is all you need. - Toby Simonds; Jey Han Lau; Chaithanya Bandi (CoRR, 2024)

Moderation Matters: Measuring Conversational Moderation Impact in English as a Second Language Group Discussion. - Rena Wei Gao; Ming-Bin Chen; Lea Frermann; Jey Han Lau (ACL (Findings), 2025)

Can LLMs Simulate L2-English Dialogue? An Information-Theoretic Analysis of L1-Dependent Biases. - Rena Wei Gao; Xuetong Wu; Tatsuki Kuribayashi; Mingrui Ye; Siya Qi; Carsten Roever; Yuanxing Liu 001; Zheng Yuan; Jey Han Lau (ACL (1), 2025)

Beyond Perception: Evaluating Abstract Visual Reasoning through Multi-Stage Task. - Yanbei Jiang; Yihao Ding; Chao Lei; Jiayang Ao; Jey Han Lau; Krista A. Ehinger (ACL (Findings), 2025)

Decomposed Opinion Summarization with Verified Aspect-Aware Modules. - Miao Li; Jey Han Lau; Eduard H. Hovy; Mirella Lapata (ACL (Findings), 2025)

WET: Overcoming Paraphrasing Vulnerabilities in Embeddings-as-a-Service with Linear Transformation Watermarks. - Anudeex Shetty; Qiongkai Xu; Jey Han Lau (ACL (1), 2025)

Interaction Matters: An Evaluation Framework for Interactive Dialogue Assessment on English Second Language Conversations. - Rena Gao; Carsten Roever; Jey Han Lau (COLING, 2025)

Factual Dialogue Summarization via Learning from Large Language Models. - Rongxin Zhu; Jey Han Lau; Jianzhong Qi 001 (COLING, 2025)

WHoW: A Cross-domain Approach for Analysing Conversation Moderation. - Ming-Bin Chen; Lea Frermann; Jey Han Lau (NAACL (Long Papers), 2025)

An Interpretable and Crosslingual Method for Evaluating Second-Language Dialogues. - Rena Gao; Xuetong Wu; Carsten Roever; Jing Wu; Long Lv; Jingxuan Wu; Jey Han Lau (NAACL (Long Papers), 2025)

Evaluating Evidence Attribution in Generated Fact Checking Explanations. - Rui Xing; Timothy Baldwin; Jey Han Lau (NAACL (Long Papers), 2025)

Aspect-Aware Decomposition for Opinion Summarization. - Miao Li; Jey Han Lau; Eduard H. Hovy; Mirella Lapata (CoRR, 2025)

Training and Evaluating with Human Label Variation: An Empirical Study. - Kemal Kurniawan; Meladel Mistica; Timothy Baldwin; Jey Han Lau (CoRR, 2025)

Beyond Seen Data: Improving KBQA Generalization Through Schema-Guided Logical Form Generation. - Shengxiang Gao; Jey Han Lau; Jianzhong Qi 001 (CoRR, 2025)

Analysis of Emotion in Rumour Threads on Social Media. - Rui Xing; Boyang Sun; Kun Zhang; Timothy Baldwin; Jey Han Lau (CoRR, 2025)

Moderation Matters:Measuring Conversational Moderation Impact in English as a Second Language Group Discussion. - Rena Gao; Ming-Bin Chen; Lea Frermann; Jey Han Lau (CoRR, 2025)

FLUKE: A Linguistically-Driven and Task-Agnostic Framework for Robustness Evaluation. - Yulia Otmakhova 001; Hung-Thinh Truong; Rahmad Mahendra; Zenan Zhai; Rongxin Zhu; Daniel Beck; Jey Han Lau (CoRR, 2025)