23 citations · 157 across the 46 of their papers we have counts for
8 papers · 1 filter
On the Latent Holes of VAEs for Text Generation
Ruizhe Li, Xutan Peng, Chenghua Lin
In this paper, we provide the first focused study on the discontinuities (aka. holes) in the latent space of Variational Auto-Encoders (VAEs), a phenomenon which has been shown to…
Extractive and Abstractive Sentence Labelling of Sentiment-bearing Topics
Mohamad Hardyman Barawi, Chenghua Lin, Advaith Siddharthan +1
This paper tackles the problem of automatically labelling sentiment-bearing topics with descriptive sentence labels. We propose two approaches to the problem, one extractive and th…
Affective Decoding for Empathetic Response Generation
Chengkun Zeng, Guanyi Chen, Chenghua Lin +2
Understanding speaker's feelings and producing appropriate responses with emotion connection is a key communicative skill for empathetic dialogue systems. In this paper, we propose…
Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting
Yi Cheng, Siyao Li, Bang Liu +4
This paper explores the task of Difficulty-Controllable Question Generation (DCQG), which aims at generating questions with required difficulty levels. Previous research on this ta…
Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes Analysis
Xutan Peng, Guanyi Chen, Chenghua Lin +1
Knowledge Graph Embeddings (KGEs) have been intensively explored in recent years due to their promise for a wide range of applications. However, existing studies focus on improving…
Interpreting Verbal Metaphors by Paraphrasing
Rui Mao, Chenghua Lin, Frank Guerin
Metaphorical expressions are difficult linguistic phenomena, challenging diverse Natural Language Processing tasks. Previous works showed that paraphrasing a metaphor as its litera…
Combining Pre-trained Word Embeddings and Linguistic Features for Sequential Metaphor Identification
Rui Mao, Chenghua Lin, Frank Guerin
We tackle the problem of identifying metaphors in text, treated as a sequence tagging task. The pre-trained word embeddings GloVe, ELMo and BERT have individually shown good perfor…
Summarising Historical Text in Modern Languages
Xutan Peng, Yi Zheng, Chenghua Lin +1
We introduce the task of historical text summarisation, where documents in historical forms of a language are summarised in the corresponding modern language. This is a fundamental…