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2020 – today
- 2024
- [c77]Miao Li, Jey Han Lau, Eduard H. Hovy:
A Sentiment Consolidation Framework for Meta-Review Generation. ACL (1) 2024: 10158-10177 - [c76]Lin Tian, Xiuzhen Zhang, Jey Han Lau:
CMA-R: Causal Mediation Analysis for Explaining Rumour Detection. EACL (Findings) 2024: 1667-1675 - [c75]Yanbei Jiang, Krista A. Ehinger, Jey Han Lau:
KALE: An Artwork Image Captioning System Augmented with Heterogeneous Graph. IJCAI 2024: 7663-7671 - [c74]Kemal Kurniawan, Meladel Mistica, Timothy Baldwin, Jey Han Lau:
To Aggregate or Not to Aggregate. That is the Question: A Case Study on Annotation Subjectivity in Span Prediction. WASSA 2024: 362-368 - [i57]Lin Tian, Xiuzhen Zhang, Jey Han Lau:
CMA-R: Causal Mediation Analysis for Explaining Rumour Detection. CoRR abs/2402.08155 (2024) - [i56]Miao Li, Jey Han Lau, Eduard H. Hovy:
Exploring Multi-Document Information Consolidation for Scientific Sentiment Summarization. CoRR abs/2402.18005 (2024) - [i55]Rui Xing, Timothy Baldwin, Jey Han Lau:
Evaluating Transparency of Machine Generated Fact Checking Explanations. CoRR abs/2406.12645 (2024) - [i54]Rongxin Zhu, Jey Han Lau, Jianzhong Qi:
Factual Dialogue Summarization via Learning from Large Language Models. CoRR abs/2406.14709 (2024) - [i53]Rena Gao, Carsten Roever, Jey Han Lau:
Interaction Matters: An Evaluation Framework for Interactive Dialogue Assessment on English Second Language Conversations. CoRR abs/2407.06479 (2024) - [i52]Kemal Kurniawan, Meladel Mistica, Timothy Baldwin, Jey Han Lau:
To Aggregate or Not to Aggregate. That is the Question: A Case Study on Annotation Subjectivity in Span Prediction. CoRR abs/2408.02257 (2024) - [i51]Rena Gao, Jingxuan Wu, Carsten Roever, Xuetong Wu, Jing Wu, Long Lv, Jey Han Lau:
CNIMA: A Universal Evaluation Framework and Automated Approach for Assessing Second Language Dialogues. CoRR abs/2408.16518 (2024) - [i50]Anudeex Shetty, Qiongkai Xu, Jey Han Lau:
WET: Overcoming Paraphrasing Vulnerabilities in Embeddings-as-a-Service with Linear Transformation Watermarks. CoRR abs/2409.04459 (2024) - [i49]Yanbei Jiang, Krista A. Ehinger, Jey Han Lau:
KALE: An Artwork Image Captioning System Augmented with Heterogeneous Graph. CoRR abs/2409.10921 (2024) - [i48]Toby Simonds, Kemal Kurniawan, Jey Han Lau:
MoDEM: Mixture of Domain Expert Models. CoRR abs/2410.07490 (2024) - [i47]Ming-Bin Chen, Lea Frermann, Jey Han Lau:
WHoW: A Cross-domain Approach for Analysing Conversation Moderation. CoRR abs/2410.15551 (2024) - 2023
- [j8]Chang Shu, Zijian Zhang, Youxin Chen, Jing Xiao, Jey Han Lau, Qian Zhang, Zheng Lu:
Open Domain Response Generation Guided by Retrieved Conversations. IEEE Access 11: 99365-99375 (2023) - [c73]Miao Li, Jianzhong Qi, Jey Han Lau:
Compressed Heterogeneous Graph for Abstractive Multi-Document Summarization. AAAI 2023: 13085-13093 - [c72]Takashi Wada, Yuji Matsumoto, Timothy Baldwin, Jey Han Lau:
Unsupervised Paraphrasing of Multiword Expressions. ACL (Findings) 2023: 4732-4746 - [c71]Rongxin Zhu, Jianzhong Qi, Jey Han Lau:
Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization. ACL (1) 2023: 6825-6845 - [c70]Ming-Bin Chen, Jey Han Lau, Lea Frermann:
The uncivil empathy: Investigating the relation between empathy and toxicity in online mental health support forums. ALTA 2023: 136-147 - [c69]Zijian Zhang, Chang Shu, Ya Xiao, Yuan Shen, Di Zhu, Youxin Chen, Jing Xiao, Jey Han Lau, Qian Zhang, Zheng Lu:
Improving Visual-Semantic Embedding with Adaptive Pooling and Optimization Objective. EACL 2023: 1209-1221 - [c68]Zhuohan Xie, Miao Li, Trevor Cohn, Jey Han Lau:
DeltaScore: Fine-Grained Story Evaluation with Perturbations. EMNLP (Findings) 2023: 5317-5331 - [c67]Miao Li, Eduard H. Hovy, Jey Han Lau:
Summarizing Multiple Documents with Conversational Structure for Meta-Review Generation. EMNLP (Findings) 2023: 7089-7112 - [c66]Takashi Wada, Timothy Baldwin, Jey Han Lau:
Unsupervised Lexical Simplification with Context Augmentation. EMNLP (Findings) 2023: 9368-9379 - [c65]Zhuohan Xie, Trevor Cohn, Jey Han Lau:
The Next Chapter: A Study of Large Language Models in Storytelling. INLG 2023: 323-351 - [c64]Lin Tian, Xiuzhen Zhang, Jey Han Lau:
MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer Adapters. WWW 2023: 1743-1753 - [i46]Zhuohan Xie, Trevor Cohn, Jey Han Lau:
Can Very Large Pretrained Language Models Learn Storytelling With A Few Examples? CoRR abs/2301.09790 (2023) - [i45]Miao Li, Jianzhong Qi, Jey Han Lau:
Compressed Heterogeneous Graph for Abstractive Multi-Document Summarization. CoRR abs/2303.06565 (2023) - [i44]Lin Tian, Xiuzhen Zhang, Jey Han Lau:
MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer Adapters. CoRR abs/2303.07354 (2023) - [i43]Zhuohan Xie, Miao Li, Trevor Cohn, Jey Han Lau:
DeltaScore: Evaluating Story Generation with Differentiating Perturbations. CoRR abs/2303.08991 (2023) - [i42]Miao Li, Eduard H. Hovy, Jey Han Lau:
Towards Summarizing Multiple Documents with Hierarchical Relationships. CoRR abs/2305.01498 (2023) - [i41]Rongxin Zhu, Jianzhong Qi, Jey Han Lau:
Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization. CoRR abs/2305.16548 (2023) - [i40]Takashi Wada, Yuji Matsumoto, Timothy Baldwin, Jey Han Lau:
Unsupervised Paraphrasing of Multiword Expressions. CoRR abs/2306.01443 (2023) - [i39]Takashi Wada, Timothy Baldwin, Jey Han Lau:
Unsupervised Lexical Simplification with Context Augmentation. CoRR abs/2311.00310 (2023) - 2022
- [j7]Fajri Koto, Timothy Baldwin, Jey Han Lau:
FFCI: A Framework for Interpretable Automatic Evaluation of Summarization. J. Artif. Intell. Res. 73 (2022) - [c63]Shiquan Yang, Rui Zhang, Sarah M. Erfani, Jey Han Lau:
An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation. ACL (1) 2022: 4918-4935 - [c62]Yulia Otmakhova, Karin Verspoor, Timothy Baldwin, Jey Han Lau:
The patient is more dead than alive: exploring the current state of the multi-document summarisation of the biomedical literature. ACL (1) 2022: 5098-5111 - [c61]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:
One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia. ACL (1) 2022: 7226-7249 - [c60]Yulia Otmakhova, Thinh Hung Truong, Timothy Baldwin, Trevor Cohn, Karin Verspoor, Jey Han Lau:
LED down the rabbit hole: exploring the potential of global attention for biomedical multi-document summarisation. SDP@COLING 2022: 181-187 - [c59]Fajri Koto, Timothy Baldwin, Jey Han Lau:
LipKey: A Large-Scale News Dataset for Absent Keyphrases Generation and Abstractive Summarization. COLING 2022: 3427-3437 - [c58]Takashi Wada, Timothy Baldwin, Yuji Matsumoto, Jey Han Lau:
Unsupervised Lexical Substitution with Decontextualised Embeddings. COLING 2022: 4172-4185 - [c57]Shiquan Yang, Xinting Huang, Jey Han Lau, Sarah M. Erfani:
Robust Task-Oriented Dialogue Generation with Contrastive Pre-training and Adversarial Filtering. EMNLP (Findings) 2022: 1220-1234 - [c56]Yulia Otmakhova, Karin Verspoor, Timothy Baldwin, Antonio Jimeno-Yepes, Jey Han Lau:
M3: Multi-level dataset for Multi-document summarisation of Medical studies. EMNLP (Findings) 2022: 3887-3901 - [c55]Thinh Hung Truong, Yulia Otmakhova, Timothy Baldwin, Trevor Cohn, Jey Han Lau, Karin Verspoor:
Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal Negation. AACL/IJCNLP (1) 2022: 883-894 - [c54]Lin Tian, Xiuzhen Zhang, Jey Han Lau:
DUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation Networks. NAACL-HLT 2022: 4939-4949 - [i38]Thinh Hung Truong, Yulia Otmakhova, Rahmad Mahendra, Timothy Baldwin, Jey Han Lau, Trevor Cohn, Lawrence Cavedon, Damiano Spina, Karin Verspoor:
ITTC @ TREC 2021 Clinical Trials Track. CoRR abs/2202.07858 (2022) - [i37]Shiquan Yang, Rui Zhang, Sarah M. Erfani, Jey Han Lau:
An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation. CoRR abs/2203.05843 (2022) - [i36]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:
One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia. CoRR abs/2203.13357 (2022) - [i35]Shiquan Yang, Xinting Huang, Jey Han Lau, Sarah M. Erfani:
Robust Task-Oriented Dialogue Generation with Contrastive Pre-training and Adversarial Filtering. CoRR abs/2205.10363 (2022) - [i34]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, Rico Sennrich, Sebastian Ruder:
NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages. CoRR abs/2205.15960 (2022) - [i33]Takashi Wada, Timothy Baldwin, Yuji Matsumoto, Jey Han Lau:
Unsupervised Lexical Substitution with Decontextualised Embeddings. CoRR abs/2209.08236 (2022) - [i32]Yulia Otmakhova, Thinh Hung Truong, Timothy Baldwin, Trevor Cohn, Karin Verspoor, Jey Han Lau:
LED down the rabbit hole: exploring the potential of global attention for biomedical multi-document summarisation. CoRR abs/2209.08698 (2022) - [i31]Zijian Zhang, Chang Shu, Ya Xiao, Yuan Shen, Di Zhu, Jing Xiao, Youxin Chen, Jey Han Lau, Qian Zhang, Zheng Lu:
Improving Visual-Semantic Embedding with Adaptive Pooling and Optimization Objective. CoRR abs/2210.02206 (2022) - [i30]Thinh Hung Truong, Yulia Otmakhova, Timothy Baldwin, Trevor Cohn, Jey Han Lau, Karin Verspoor:
Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal Negation. CoRR abs/2210.03256 (2022) - 2021
- [c53]Fajri Koto, Jey Han Lau, Timothy Baldwin:
Evaluating the Efficacy of Summarization Evaluation across Languages. ACL/IJCNLP (Findings) 2021: 801-812 - [c52]Meladel Mistica, Jey Han Lau, Brayden Merrifield, Kate Fazio, Timothy Baldwin:
Semi-automatic Triage of Requests for Free Legal Assistance. NLLP@EMNLP 2021: 217-227 - [c51]Fajri Koto, Jey Han Lau, Timothy Baldwin:
Top-down Discourse Parsing via Sequence Labelling. EACL 2021: 715-726 - [c50]Karin Verspoor, Simon Suster, Yulia Otmakhova, Shevon Mendis, Zenan Zhai, Biaoyan Fang, Jey Han Lau, Timothy Baldwin, Antonio Jimeno-Yepes, David Martínez:
Brief Description of COVID-SEE: The Scientific Evidence Explorer for COVID-19 Related Research. ECIR (2) 2021: 559-564 - [c49]Fajri Koto, Jey Han Lau, Timothy Baldwin:
IndoBERTweet: A Pretrained Language Model for Indonesian Twitter with Effective Domain-Specific Vocabulary Initialization. EMNLP (1) 2021: 10660-10668 - [c48]Simon Suster, Karin Verspoor, Timothy Baldwin, Jey Han Lau, Antonio Jimeno-Yepes, David Martinez Iraola, Yulia Otmakhova:
Impact of detecting clinical trial elements in exploration of COVID-19 literature. ICHI 2021: 495-496 - [c47]Shiquan Yang, Rui Zhang, Sarah M. Erfani, Jey Han Lau:
UniMF: A Unified Framework to Incorporate Multimodal Knowledge Bases intoEnd-to-End Task-Oriented Dialogue Systems. IJCAI 2021: 3978-3984 - [c46]Shraey Bhatia, Jey Han Lau, Timothy Baldwin:
Automatic Classification of Neutralization Techniques in the Narrative of Climate Change Scepticism. NAACL-HLT 2021: 2167-2175 - [c45]Fajri Koto, Jey Han Lau, Timothy Baldwin:
Discourse Probing of Pretrained Language Models. NAACL-HLT 2021: 3849-3864 - [c44]Ying Xu, Xu Zhong, Antonio Jimeno-Yepes, Jey Han Lau:
Grey-box Adversarial Attack And Defence For Sentiment Classification. NAACL-HLT 2021: 4078-4087 - [c43]Lin Tian, Xiuzhen Zhang, Jey Han Lau:
Rumour Detection via Zero-Shot Cross-Lingual Transfer Learning. ECML/PKDD (1) 2021: 603-618 - [c42]Hung-Thinh Truong, Yulia Otmakhova, Timothy Baldwin, Jey Han Lau, Trevor Cohn, Karin Verspoor, Rahmad Mahendra, Lawrence Cavedon, Damiano Spina:
ITTC @ TREC 2021 Clinical Trials Track. TREC 2021 - [i29]Fajri Koto, Jey Han Lau, Timothy Baldwin:
Top-down Discourse Parsing via Sequence Labelling. CoRR abs/2102.02080 (2021) - [i28]Ying Xu, Xu Zhong, Antonio Jimeno-Yepes, Jey Han Lau:
Grey-box Adversarial Attack And Defence For Sentiment Classification. CoRR abs/2103.11576 (2021) - [i27]Fajri Koto, Jey Han Lau, Timothy Baldwin:
Discourse Probing of Pretrained Language Models. CoRR abs/2104.05882 (2021) - [i26]Simon Suster, Karin Verspoor, Timothy Baldwin, Jey Han Lau, Antonio Jimeno-Yepes, David Martínez, Yulia Otmakhova:
Impact of detecting clinical trial elements in exploration of COVID-19 literature. CoRR abs/2105.12261 (2021) - [i25]Fajri Koto, Jey Han Lau, Timothy Baldwin:
Evaluating the Efficacy of Summarization Evaluation across Languages. CoRR abs/2106.01478 (2021) - [i24]Shraey Bhatia, Jey Han Lau, Timothy Baldwin:
Automatic Claim Review for Climate Science via Explanation Generation. CoRR abs/2107.14740 (2021) - [i23]Fajri Koto, Jey Han Lau, Timothy Baldwin:
IndoBERTweet: A Pretrained Language Model for Indonesian Twitter with Effective Domain-Specific Vocabulary Initialization. CoRR abs/2109.04607 (2021) - [i22]Lin Tian, Xiuzhen Zhang, Jey Han Lau:
Rumour Detection via Zero-shot Cross-lingual Transfer Learning. CoRR abs/2109.12773 (2021) - [i21]Zhuohan Xie, Trevor Cohn, Jey Han Lau:
Exploring Story Generation with Multi-task Objectives in Variational Autoencoders. CoRR abs/2111.08133 (2021) - [i20]Rongxin Zhu, Jey Han Lau, Jianzhong Qi:
Findings on Conversation Disentanglement. CoRR abs/2112.05346 (2021) - 2020
- [j6]Jey Han Lau, Carlos Santos Armendariz, Matthew Purver, Chang Shu, Shalom Lappin:
How Furiously Can Colourless Green Ideas Sleep? Sentence Acceptability in Context. Trans. Assoc. Comput. Linguistics 8: 296-310 (2020) - [c41]Kobi Leins, Jey Han Lau, Timothy Baldwin:
Give Me Convenience and Give Her Death: Who Should Decide What Uses of NLP are Appropriate, and on What Basis? ACL 2020: 2908-2913 - [c40]Lin Tian, Xiuzhen Zhang, Jey Han Lau:
#DemocratsAreDestroyingAmerica: Rumour Analysis on Twitter During COVID-19. CIKM (Workshops) 2020 - [c39]Fajri Koto, Afshin Rahimi, Jey Han Lau, Timothy Baldwin:
IndoLEM and IndoBERT: A Benchmark Dataset and Pre-trained Language Model for Indonesian NLP. COLING 2020: 757-770 - [c38]Fajri Koto, Jey Han Lau, Timothy Baldwin:
Liputan6: A Large-scale Indonesian Dataset for Text Summarization. AACL/IJCNLP 2020: 598-608 - [c37]Ying Xu, Xu Zhong, Antonio José Jimeno-Yepes, Jey Han Lau:
Forget Me Not: Reducing Catastrophic Forgetting for Domain Adaptation in Reading Comprehension. IJCNN 2020: 1-8 - [c36]Shiwei Zhang, Xiuzhen Zhang, Jey Han Lau, Jeffrey Chan, Cécile Paris:
Less Is More: Rejecting Unreliable Reviews for Product Question Answering. ECML/PKDD (3) 2020: 567-583 - [i19]Ying Xu, Xu Zhong, Antonio José Jimeno-Yepes, Jey Han Lau:
Elephant in the Room: An Evaluation Framework for Assessing Adversarial Examples in NLP. CoRR abs/2001.07820 (2020) - [i18]Jey Han Lau, Carlos Santos Armendariz, Shalom Lappin, Matthew Purver, Chang Shu:
How Furiously Can Colourless Green Ideas Sleep? Sentence Acceptability in Context. CoRR abs/2004.00881 (2020) - [i17]Shraey Bhatia, Jey Han Lau, Timothy Baldwin:
You are right. I am ALARMED - But by Climate Change Counter Movement. CoRR abs/2004.14907 (2020) - [i16]Kobi Leins, Jey Han Lau, Timothy Baldwin:
Give Me Convenience and Give Her Death: Who Should Decide What Uses of NLP are Appropriate, and on What Basis? CoRR abs/2005.13213 (2020) - [i15]Shiwei Zhang, Xiuzhen Zhang, Jey Han Lau, Jeffrey Chan, Cécile Paris:
Less is More: Rejecting Unreliable Reviews for Product Question Answering. CoRR abs/2007.04526 (2020) - [i14]Karin Verspoor, Simon Suster, Yulia Otmakhova, Shevon Mendis, Zenan Zhai, Biaoyan Fang, Jey Han Lau, Timothy Baldwin, Antonio Jimeno-Yepes, David Martínez:
COVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research. CoRR abs/2008.07880 (2020) - [i13]Takashi Wada, Tomoharu Iwata, Yuji Matsumoto, Timothy Baldwin, Jey Han Lau:
Learning Contextualised Cross-lingual Word Embeddings for Extremely Low-Resource Languages Using Parallel Corpora. CoRR abs/2010.14649 (2020) - [i12]Fajri Koto, Afshin Rahimi, Jey Han Lau, Timothy Baldwin:
IndoLEM and IndoBERT: A Benchmark Dataset and Pre-trained Language Model for Indonesian NLP. CoRR abs/2011.00677 (2020) - [i11]Fajri Koto, Jey Han Lau, Timothy Baldwin:
Liputan6: A Large-scale Indonesian Dataset for Text Summarization. CoRR abs/2011.00679 (2020) - [i10]Fajri Koto, Jey Han Lau, Timothy Baldwin:
FFCI: A Framework for Interpretable Automatic Evaluation of Summarization. CoRR abs/2011.13662 (2020)
2010 – 2019
- 2019
- [c35]Zhuohan Xie, Jey Han Lau, Trevor Cohn:
From Shakespeare to Li-Bai: Adapting a Sonnet Model to Chinese Poetry. ALTA 2019: 10-18 - [c34]Fajri Koto, Jey Han Lau, Timothy Baldwin:
Improved Document Modelling with a Neural Discourse Parser. ALTA 2019: 67-76 - [c33]Shiwei Zhang, Jey Han Lau, Xiuzhen Zhang, Jeffrey Chan, Cécile Paris:
Discovering Relevant Reviews for Answering Product-Related Queries. ICDM 2019: 1468-1473 - [c32]Kaimin Zhou, Chang Shu, Binyang Li, Jey Han Lau:
Early Rumour Detection. NAACL-HLT (1) 2019: 1614-1623 - [i9]Fajri Koto, Jey Han Lau, Timothy Baldwin:
Improved Document Modelling with a Neural Discourse Parser. CoRR abs/1911.06919 (2019) - 2018
- [j5]Wei Emma Zhang, Quan Z. Sheng, Jey Han Lau, Ermyas Abebe, Wenjie Ruan:
Duplicate Detection in Programming Question Answering Communities. ACM Trans. Internet Techn. 18(3): 37:1-37:21 (2018) - [c31]Jean-Philippe Bernardy, Shalom Lappin, Jey Han Lau:
The Influence of Context on Sentence Acceptability Judgements. ACL (2) 2018: 456-461 - [c30]Jey Han Lau, Trevor Cohn, Timothy Baldwin, Julian Brooke, Adam Hammond:
Deep-speare: A joint neural model of poetic language, meter and rhyme. ACL (1) 2018: 1948-1958 - [c29]Steven Xu, Andrew Bennett, Doris Hoogeveen, Jey Han Lau, Timothy Baldwin:
Preferred Answer Selection in Stack Overflow: Better Text Representations ... and Metadata, Metadata, Metadata. NUT@EMNLP 2018: 137-147 - [c28]Khoi-Nguyen Tran, Jey Han Lau, Danish Contractor, Utkarsh Gupta, Bikram Sengupta, Christopher J. Butler, Mukesh K. Mohania:
Document Chunking and Learning Objective Generation for Instruction Design. EDM 2018 - [c27]Shraey Bhatia, Jey Han Lau, Timothy Baldwin:
Topic Intrusion for Automatic Topic Model Evaluation. EMNLP 2018: 844-849 - [i8]Maryam Fanaeepour, Adam Makarucha, Jey Han Lau:
Evaluating Word Embedding Hyper-Parameters for Similarity and Analogy Tasks. CoRR abs/1804.04211 (2018) - [i7]Khoi-Nguyen Tran, Jey Han Lau, Danish Contractor, Utkarsh Gupta, Bikram Sengupta, Christopher J. Butler, Mukesh K. Mohania:
Document Chunking and Learning Objective Generation for Instruction Design. CoRR abs/1806.01351 (2018) - [i6]Jey Han Lau, Trevor Cohn, Timothy Baldwin, Julian Brooke, Adam Hammond:
Deep-speare: A Joint Neural Model of Poetic Language, Meter and Rhyme. CoRR abs/1807.03491 (2018) - 2017
- [j4]Jey Han Lau, Alexander Clark, Shalom Lappin:
Grammaticality, Acceptability, and Probability: A Probabilistic View of Linguistic Knowledge. Cogn. Sci. 41(5): 1202-1241 (2017) - [j3]Nikolaos Aletras, Timothy Baldwin, Jey Han Lau, Mark Stevenson:
Evaluating topic representations for exploring document collections. J. Assoc. Inf. Sci. Technol. 68(1): 154-167 (2017) - [c26]Jey Han Lau, Timothy Baldwin, Trevor Cohn:
Topically Driven Neural Language Model. ACL (1) 2017: 355-365 - [c25]Ying Xu, Jey Han Lau, Timothy Baldwin, Trevor Cohn:
Decoupling Encoder and Decoder Networks for Abstractive Document Summarization. MultiLing@EACL 2017: 7-11 - [c24]Shraey Bhatia, Jey Han Lau, Timothy Baldwin:
An Automatic Approach for Document-level Topic Model Evaluation. CoNLL 2017: 206-215 - [c23]Ionut Sorodoc, Jey Han Lau, Nikolaos Aletras, Timothy Baldwin:
Multimodal Topic Labelling. EACL (2) 2017: 701-706 - [c22]Jey Han Lau, Lianhua Chi, Khoi-Nguyen Tran, Trevor Cohn:
End-to-end Network for Twitter Geolocation Prediction and Hashing. IJCNLP(1) 2017: 744-753 - [c21]Wei Emma Zhang, Quan Z. Sheng, Jey Han Lau, Ermyas Abebe:
Detecting Duplicate Posts in Programming QA Communities via Latent Semantics and Association Rules. WWW 2017: 1221-1229 - [i5]Jey Han Lau, Timothy Baldwin, Trevor Cohn:
Topically Driven Neural Language Model. CoRR abs/1704.08012 (2017) - [i4]Shraey Bhatia, Jey Han Lau, Timothy Baldwin:
An Automatic Approach for Document-level Topic Model Evaluation. CoRR abs/1706.05140 (2017) - [i3]Jey Han Lau, Lianhua Chi, Khoi-Nguyen Tran, Trevor Cohn:
End-to-end Network for Twitter Geolocation Prediction and Hashing. CoRR abs/1710.04802 (2017) - 2016
- [c20]Andrew Bennett, Timothy Baldwin, Jey Han Lau, Diana McCarthy, Francis Bond:
LexSemTm: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning. ACL (1) 2016 - [c19]Shraey Bhatia, Jey Han Lau, Timothy Baldwin:
Automatic Labelling of Topics with Neural Embeddings. COLING 2016: 953-963 - [c18]Jey Han Lau, Timothy Baldwin:
The Sensitivity of Topic Coherence Evaluation to Topic Cardinality. HLT-NAACL 2016: 483-487 - [c17]Jey Han Lau, Timothy Baldwin:
An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation. Rep4NLP@ACL 2016: 78-86 - [i2]Jey Han Lau, Timothy Baldwin:
An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation. CoRR abs/1607.05368 (2016) - [i1]Shraey Bhatia, Jey Han Lau, Timothy Baldwin:
Automatic Labelling of Topics with Neural Embeddings. CoRR abs/1612.05340 (2016) - 2015
- [c16]Jey Han Lau, Alexander Clark, Shalom Lappin:
Unsupervised Prediction of Acceptability Judgements. ACL (1) 2015: 1618-1628 - [c15]Nikolaos Aletras, Jey Han Lau, Timothy Baldwin, Mark Stevenson:
TM 2015 - Topic Models: Post-Processing and Applications Workshop. CIKM 2015: 1953-1954 - [e1]Nikolaos Aletras, Jey Han Lau, Timothy Baldwin, Mark Stevenson:
Proceedings of the 2015 Workshop on Topic Models: Post-Processing and Applications, TM 2015, Melbourne, Australia, October 19, 2015. ACM 2015, ISBN 978-1-4503-3784-7 [contents] - 2014
- [j2]Marco Lui, Jey Han Lau, Timothy Baldwin:
Automatic Detection and Language Identification of Multilingual Documents. Trans. Assoc. Comput. Linguistics 2: 27-40 (2014) - [c14]Jey Han Lau, Paul Cook, Diana McCarthy, Spandana Gella, Timothy Baldwin:
Learning Word Sense Distributions, Detecting Unattested Senses and Identifying Novel Senses Using Topic Models. ACL (1) 2014: 259-270 - [c13]Jey Han Lau, Alexander Clark, Shalom Lappin:
Measuring Gradience in Speakers' Grammaticality Judgements. CogSci 2014 - [c12]Paul Cook, Jey Han Lau, Diana McCarthy, Timothy Baldwin:
Novel Word-sense Identification. COLING 2014: 1624-1635 - [c11]Jey Han Lau, David Newman, Timothy Baldwin:
Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality. EACL 2014: 530-539 - [c10]Nikolaos Aletras, Timothy Baldwin, Jey Han Lau, Mark Stevenson:
Representing topics labels for exploring digital libraries. JCDL 2014: 239-248 - 2013
- [j1]Jey Han Lau, Timothy Baldwin, David Newman:
On collocations and topic models. ACM Trans. Speech Lang. Process. 10(3): 10:1-10:14 (2013) - [c9]Meladel Mistica, Jey Han Lau, Timothy Baldwin:
Unsupervised Word Class Induction for Under-resourced Languages: A Case Study on Indonesian. IJCNLP 2013: 685-691 - [c8]Jey Han Lau, Paul Cook, Timothy Baldwin:
unimelb: Topic Modelling-based Word Sense Induction for Web Snippet Clustering. SemEval@NAACL-HLT 2013: 217-221 - [c7]Jey Han Lau, Paul Cook, Timothy Baldwin:
unimelb: Topic Modelling-based Word Sense Induction. SemEval@NAACL-HLT 2013: 307-311 - 2012
- [c6]Jey Han Lau, Nigel Collier, Timothy Baldwin:
On-line Trend Analysis with Topic Models: \#twitter Trends Detection Topic Model Online. COLING 2012: 1519-1534 - [c5]David Newman, Nagendra Koilada, Jey Han Lau, Timothy Baldwin:
Bayesian Text Segmentation for Index Term Identification and Keyphrase Extraction. COLING 2012: 2077-2092 - [c4]Jey Han Lau, Paul Cook, Diana McCarthy, David Newman, Timothy Baldwin:
Word Sense Induction for Novel Sense Detection. EACL 2012: 591-601 - 2011
- [c3]Jey Han Lau, Karl Grieser, David Newman, Timothy Baldwin:
Automatic Labelling of Topic Models. ACL 2011: 1536-1545 - 2010
- [c2]Jey Han Lau, David Newman, Sarvnaz Karimi, Timothy Baldwin:
Best Topic Word Selection for Topic Labelling. COLING (Posters) 2010: 605-613 - [c1]David Newman, Jey Han Lau, Karl Grieser, Timothy Baldwin:
Automatic Evaluation of Topic Coherence. HLT-NAACL 2010: 100-108
Coauthor Index
aka: Antonio José Jimeno-Yepes
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