Audio classification plays a crucial role in speech and sound processing...
Medical Dialogue Generation serves a critical role in telemedicine by
fa...
Self-supervised learning (SSL) has shown promising results in various sp...
We introduce LyricWhiz, a robust, multilingual, and zero-shot automatic
...
Incorporating external graph knowledge into neural chatbot models has be...
In the era of extensive intersection between art and Artificial Intellig...
Previous work in phonetically-grounded language generation has mainly fo...
Self-supervised learning (SSL) has recently emerged as a promising parad...
One noticeable trend in metaphor detection is the embrace of linguistic
...
The long-standing one-to-many issue of the open-domain dialogues poses
s...
Interactive Natural Language Processing (iNLP) has emerged as a novel
pa...
Many text mining models are constructed by fine-tuning a large deep
pre-...
Instruction tuning is widely recognized as a key technique for building
...
Improvement of software development methodologies attracts developers to...
We propose a novel RoBERTa-based model, RoPPT, which introduces a
target...
In this paper, we propose FrameBERT, a RoBERTa-based model that can
expl...
Metaphors are proven to have stronger emotional impact than literal
expr...
As natural language processing (NLP) for gender bias becomes a significa...
Despite the importance of emphasizing the right psychotherapy treatment ...
The deep learning community has witnessed an exponentially growing inter...
Fairness has become a trending topic in natural language processing (NLP...
Variational autoencoders (VAEs) are one of the powerful unsupervised lea...
Medical dialogue generation aims to generate responses according to a hi...
One of the key challenges of automatic story generation is how to genera...
Story generation aims to generate a long narrative conditioned on a give...
To improve the performance of long text generation, recent studies have
...
Lay summarisation aims to jointly summarise and simplify a given text, t...
As the demand for highly secure and dependable lightweight systems incre...
Nominal metaphors are frequently used in human language and have been sh...
Knowledge graph embedding methods are important for knowledge graph
comp...
In recent years much effort has been devoted to applying neural models t...
Recent years have witnessed the dramatic growth of paper volumes with pl...
This paper tackles the problem of automatically labelling sentiment-bear...
Understanding speaker's feelings and producing appropriate responses wit...
This paper explores the task of Difficulty-Controllable Question Generat...
Metaphorical expressions are difficult linguistic phenomena, challenging...
We tackle the problem of identifying metaphors in text, treated as a seq...
In this paper, we propose an end-to-end CNN-LSTM model for generating
de...
The Variational Autoencoder (VAE) is a popular and powerful model applie...
We propose DGST, a novel and simple Dual-Generator network architecture ...
Recent years have seen a number of proposals for performing Natural Lang...
Recent years have seen a number of proposals for performing Natural Lang...
In task-oriented dialogue systems, Dialogue State Tracking (DST) is a co...
Variational Autoencoder (VAE) is a powerful method for learning
represen...
Stance detection in fake news is an important component in news veracity...
This paper proposes a novel method for factorising the information in th...
Recognising dialogue acts (DA) is important for many natural language
pr...