13 citations · 38 across the 11 of their papers we have counts for
7 papers
Unsupervised Paraphrasing of Multiword Expressions
Takashi Wada, Yuji Matsumoto, Timothy Baldwin +1
We propose an unsupervised approach to paraphrasing multiword expressions (MWEs) in context. Our model employs only monolingual corpus data and pre-trained language models (without…
Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization
Rongxin Zhu, Jianzhong Qi, Jey Han Lau
A series of datasets and models have been proposed for summaries generated for well-formatted documents such as news articles. Dialogue summaries, however, have been under explored…
MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer Adapters
Lin Tian, Xiuzhen Zhang, Jey Han Lau
State-sponsored trolls are the main actors of influence campaigns on social media and automatic troll detection is important to combat misinformation at scale. Existing troll detec…
Compressed Heterogeneous Graph for Abstractive Multi-Document Summarization
Miao Li, Jianzhong Qi, Jey Han Lau
Multi-document summarization (MDS) aims to generate a summary for a number of related documents. We propose HGSUM, an MDS model that extends an encoder-decoder architecture, to inc…
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…
Automatic Labelling of Topics with Neural Embeddings
Shraey Bhatia, Jey Han Lau, Timothy Baldwin
Topics generated by topic models are typically represented as list of terms. To reduce the cognitive overhead of interpreting these topics for end-users, we propose labelling a top…