32 citations · 202 across the 82 of their papers we have counts for
8 papers · 1 filter
Unsupervised Lexical Simplification with Context Augmentation
Takashi Wada, Timothy Baldwin, Jey Han Lau
We propose a new unsupervised lexical simplification method that uses only monolingual data and pre-trained language models. Given a target word and its context, our method generat…
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…
Summarizing Multiple Documents with Conversational Structure for Meta-Review Generation
Miao Li, Eduard Hovy, Jey Han Lau
We present PeerSum, a novel dataset for generating meta-reviews of scientific papers. The meta-reviews can be interpreted as abstractive summaries of reviews, multi-turn discussion…
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…
DeltaScore: Fine-Grained Story Evaluation with Perturbations
Zhuohan Xie, Miao Li, Trevor Cohn +1
Numerous evaluation metrics have been developed for natural language generation tasks, but their effectiveness in evaluating stories is limited as they are not specifically tailore…
The Next Chapter: A Study of Large Language Models in Storytelling
Zhuohan Xie, Trevor Cohn, Jey Han Lau
To enhance the quality of generated stories, recent story generation models have been investigating the utilization of higher-level attributes like plots or commonsense knowledge.…