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09/21/2023
Audio Contrastive based Fine-tuning
Audio classification plays a crucial role in speech and sound processing...
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09/19/2023
Improving Medical Dialogue Generation with Abstract Meaning Representations
Medical Dialogue Generation serves a critical role in telemedicine by fa...
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07/11/2023
On the Effectiveness of Speech Self-supervised Learning for Music
Self-supervised learning (SSL) has shown promising results in various sp...
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06/29/2023
LyricWhiz: Robust Multilingual Zero-shot Lyrics Transcription by Whispering to ChatGPT
We introduce LyricWhiz, a robust, multilingual, and zero-shot automatic ...
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06/28/2023
Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregation
Incorporating external graph knowledge into neural chatbot models has be...
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06/18/2023
MARBLE: Music Audio Representation Benchmark for Universal Evaluation
In the era of extensive intersection between art and Artificial Intellig...
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06/06/2023
TwistList: Resources and Baselines for Tongue Twister Generation
Previous work in phonetically-grounded language generation has mainly fo...
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05/31/2023
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training
Self-supervised learning (SSL) has recently emerged as a promising parad...
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05/26/2023
Metaphor Detection via Explicit Basic Meanings Modelling
One noticeable trend in metaphor detection is the embrace of linguistic ...
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05/26/2023
Evaluating Open-Domain Dialogues in Latent Space with Next Sentence Prediction and Mutual Information
The long-standing one-to-many issue of the open-domain dialogues poses s...
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05/22/2023
Interactive Natural Language Processing
Interactive Natural Language Processing (iNLP) has emerged as a novel pa...
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05/20/2023
DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining
Many text mining models are constructed by fine-tuning a large deep pre-...
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04/17/2023
Chinese Open Instruction Generalist: A Preliminary Release
Instruction tuning is widely recognized as a key technique for building ...
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03/18/2023
Requirement Formalisation using Natural Language Processing and Machine Learning: A Systematic Review
Improvement of software development methodologies attracts developers to...
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02/11/2023
Metaphor Detection with Effective Context Denoising
We propose a novel RoBERTa-based model, RoPPT, which introduces a target...
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02/09/2023
FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning
In this paper, we propose FrameBERT, a RoBERTa-based model that can expl...
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01/30/2023
The Secret of Metaphor on Expressing Stronger Emotion
Metaphors are proven to have stronger emotional impact than literal expr...
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01/01/2023
CORGI-PM: A Chinese Corpus For Gender Bias Probing and Mitigation
As natural language processing (NLP) for gender bias becomes a significa...
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12/08/2022
Routine Outcome Monitoring in Psychotherapy Treatment using Sentiment-Topic Modelling Approach
Despite the importance of emphasizing the right psychotherapy treatment ...
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12/05/2022
MAP-Music2Vec: A Simple and Effective Baseline for Self-Supervised Music Audio Representation Learning
The deep learning community has witnessed an exponentially growing inter...
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11/05/2022
HERB: Measuring Hierarchical Regional Bias in Pre-trained Language Models
Fairness has become a trending topic in natural language processing (NLP...
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11/01/2022
Improving Variational Autoencoders with Density Gap-based Regularization
Variational autoencoders (VAEs) are one of the powerful unsupervised lea...
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10/27/2022
Terminology-aware Medical Dialogue Generation
Medical dialogue generation aims to generate responses according to a hi...
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10/22/2022
EtriCA: Event-Triggered Context-Aware Story Generation Augmented by Cross Attention
One of the key challenges of automatic story generation is how to genera...
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10/19/2022
Improving Chinese Story Generation via Awareness of Syntactic Dependencies and Semantics
Story generation aims to generate a long narrative conditioned on a give...
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10/19/2022
NGEP: A Graph-based Event Planning Framework for Story Generation
To improve the performance of long text generation, recent studies have ...
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10/18/2022
Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature
Lay summarisation aims to jointly summarise and simplify a given text, t...
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07/11/2022
PUF-Phenotype: A Robust and Noise-Resilient Approach to Aid Intra-Group-based Authentication with DRAM-PUFs Using Machine Learning
As the demand for highly secure and dependable lightweight systems incre...
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06/10/2022
Nominal Metaphor Generation with Multitask Learning
Nominal metaphors are frequently used in human language and have been sh...
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04/27/2022
TransHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction
Knowledge graph embedding methods are important for knowledge graph comp...
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03/06/2022
Recent Advances in Neural Text Generation: A Task-Agnostic Survey
In recent years much effort has been devoted to applying neural models t...
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10/12/2021
Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation
Recent years have witnessed the dramatic growth of paper volumes with pl...
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08/29/2021
Extractive and Abstractive Sentence Labelling of Sentiment-bearing Topics
This paper tackles the problem of automatically labelling sentiment-bear...
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08/18/2021
Affective Decoding for Empathetic Response Generation
Understanding speaker's feelings and producing appropriate responses wit...
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05/25/2021
Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting
This paper explores the task of Difficulty-Controllable Question Generat...
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04/07/2021
Interpreting Verbal Metaphors by Paraphrasing
Metaphorical expressions are difficult linguistic phenomena, challenging...
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04/07/2021
Combining Pre-trained Word Embeddings and Linguistic Features for Sequential Metaphor Identification
We tackle the problem of identifying metaphors in text, treated as a seq...
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12/02/2020
Generating Descriptions for Sequential Images with Local-Object Attention and Global Semantic Context Modelling
In this paper, we propose an end-to-end CNN-LSTM model for generating de...
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11/02/2020
Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation
The Variational Autoencoder (VAE) is a popular and powerful model applie...
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10/27/2020
DGST: a Dual-Generator Network for Text Style Transfer
We propose DGST, a novel and simple Dual-Generator network architecture ...
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05/16/2020
A Text Reassembling Approach to Natural Language Generation
Recent years have seen a number of proposals for performing Natural Lang...
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05/16/2020
A Text Reassembling Approach to NaturalLanguage Generation
Recent years have seen a number of proposals for performing Natural Lang...
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04/22/2020
Dialogue State Tracking with Pretrained Encoder for Multi-domain Trask-oriented Dialogue Systems
In task-oriented dialogue systems, Dialogue State Tracking (DST) is a co...
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11/13/2019
A Stable Variational Autoencoder for Text Modelling
Variational Autoencoder (VAE) is a powerful method for learning represen...
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09/13/2019
Deep Ensemble Learning for News Stance Detection
Stance detection in fake news is an important component in news veracity...
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07/26/2019
Latent Space Factorisation and Manipulation via Matrix Subspace Projection
This paper proposes a novel method for factorising the information in th...
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10/22/2018
