32 citations · 202 across the 82 of their papers we have counts for
10 papers · 1 filter
Findings on Conversation Disentanglement
Rongxin Zhu, Jey Han Lau, Jianzhong Qi
Conversation disentanglement, the task to identify separate threads in conversations, is an important pre-processing step in multi-party conversational NLP applications such as con…
Exploring Story Generation with Multi-task Objectives in Variational Autoencoders
Zhuohan Xie, Trevor Cohn, Jey Han Lau
GPT-2 has been frequently adapted in story generation models as it provides powerful generative capability. However, it still fails to generate consistent stories and lacks diversi…
Rumour Detection via Zero-shot Cross-lingual Transfer Learning
Lin Tian, Xiuzhen Zhang, Jey Han Lau
Most rumour detection models for social media are designed for one specific language (mostly English). There are over 40 languages on Twitter and most languages lack annotated reso…
IndoBERTweet: A Pretrained Language Model for Indonesian Twitter with Effective Domain-Specific Vocabulary Initialization
Fajri Koto, Jey Han Lau, Timothy Baldwin
We present IndoBERTweet, the first large-scale pretrained model for Indonesian Twitter that is trained by extending a monolingually-trained Indonesian BERT model with additive doma…
Automatic Claim Review for Climate Science via Explanation Generation
Shraey Bhatia, Jey Han Lau, Timothy Baldwin
There is unison is the scientific community about human induced climate change. Despite this, we see the web awash with claims around climate change scepticism, thus driving the ne…
Evaluating the Efficacy of Summarization Evaluation across Languages
Fajri Koto, Jey Han Lau, Timothy Baldwin
While automatic summarization evaluation methods developed for English are routinely applied to other languages, this is the first attempt to systematically quantify their panlingu…
Impact of detecting clinical trial elements in exploration of COVID-19 literature
Simon Šuster, Karin Verspoor, Timothy Baldwin +4
The COVID-19 pandemic has driven ever-greater demand for tools which enable efficient exploration of biomedical literature. Although semi-structured information resulting from conc…
Discourse Probing of Pretrained Language Models
Fajri Koto, Jey Han Lau, Timothy Baldwin
Existing work on probing of pretrained language models (LMs) has predominantly focused on sentence-level syntactic tasks. In this paper, we introduce document-level discourse probi…
Grey-box Adversarial Attack And Defence For Sentiment Classification
Ying Xu, Xu Zhong, Antonio Jimeno Yepes +1
We introduce a grey-box adversarial attack and defence framework for sentiment classification. We address the issues of differentiability, label preservation and input reconstructi…
Top-down Discourse Parsing via Sequence Labelling
Fajri Koto, Jey Han Lau, Timothy Baldwin
We introduce a top-down approach to discourse parsing that is conceptually simpler than its predecessors (Kobayashi et al., 2020; Zhang et al., 2020). By framing the task as a sequ…