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08/30/2023
Can Prompt Learning Benefit Radiology Report Generation?
Radiology report generation aims to automatically provide clinically mea...
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08/16/2023
MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation
We propose MemoChat, a pipeline for refining instructions that enables l...
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07/22/2023
Explainable Topic-Enhanced Argument Mining from Heterogeneous Sources
Given a controversial target such as “nuclear energy”, argument mining a...
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06/06/2023
CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models
Text classifiers built on Pre-trained Language Models (PLMs) have achiev...
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05/30/2023
Document-Level Multi-Event Extraction with Event Proxy Nodes and Hausdorff Distance Minimization
Document-level multi-event extraction aims to extract the structural inf...
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05/24/2023
OverPrompt: Enhancing ChatGPT Capabilities through an Efficient In-Context Learning Approach
The exceptional performance of pre-trained large language models has rev...
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05/22/2023
Distilling ChatGPT for Explainable Automated Student Answer Assessment
Assessing student answers and providing valuable feedback is crucial for...
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05/16/2023
BERTTM: Leveraging Contextualized Word Embeddings from Pre-trained Language Models for Neural Topic Modeling
With the development of neural topic models in recent years, topic model...
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05/08/2023
Cone: Unsupervised Contrastive Opinion Extraction
Contrastive opinion extraction aims to extract a structured summary or k...
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05/08/2023
Event Knowledge Incorporation with Posterior Regularization for Event-Centric Question Answering
We propose a simple yet effective strategy to incorporate event knowledg...
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05/05/2023
NewsQuote: A Dataset Built on Quote Extraction and Attribution for Expert Recommendation in Fact-Checking
To enhance the ability to find credible evidence in news articles, we pr...
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05/03/2023
Some Observations on Fact-Checking Work with Implications for Computational Support
Social media and user-generated content (UGC) have become increasingly i...
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04/04/2023
A User-Centered, Interactive, Human-in-the-Loop Topic Modelling System
Human-in-the-loop topic modelling incorporates users' knowledge into the...
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02/28/2023
PANACEA: An Automated Misinformation Detection System on COVID-19
In this demo, we introduce a web-based misinformation detection system P...
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02/13/2023
Distinguishability Calibration to In-Context Learning
Recent years have witnessed increasing interests in prompt-based learnin...
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02/11/2023
NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization
Accessing medical literature is difficult for laypeople as the content i...
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02/10/2023
Event Temporal Relation Extraction with Bayesian Translational Model
Existing models to extract temporal relations between events lack a prin...
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01/03/2023
Tracking Brand-Associated Polarity-Bearing Topics in User Reviews
Monitoring online customer reviews is important for business organisatio...
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11/02/2022
CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation
Radiology report generation (RRG) has gained increasing research attenti...
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10/24/2022
Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformation
Human reading comprehension often requires reasoning of event semantic r...
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10/22/2022
PHEE: A Dataset for Pharmacovigilance Event Extraction from Text
The primary goal of drug safety researchers and regulators is to promptl...
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10/11/2022
Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling
Transformer-based models have achieved great success on sentence pair mo...
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08/24/2022
Addressing Token Uniformity in Transformers via Singular Value Transformation
Token uniformity is commonly observed in transformer-based models, in wh...
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07/28/2022
PHEMEPlus: Enriching Social Media Rumour Verification with External Evidence
Work on social media rumour verification utilises signals from posts, th...
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07/11/2022
Cross-modal Prototype Driven Network for Radiology Report Generation
Radiology report generation (RRG) aims to describe automatically a radio...
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05/25/2022
RSTGen: Imbuing Fine-Grained Interpretable Control into Long-FormText Generators
In this paper, we study the task of improving the cohesion and coherence...
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05/06/2022
Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media
Building models to detect vaccine attitudes on social media is challengi...
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05/05/2022
Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims
We present a comprehensive work on automated veracity assessment from da...
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02/20/2022
Hierarchical Interpretation of Neural Text Classification
Recent years have witnessed increasing interests in developing interpret...
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11/23/2021
Evaluating the application of NLP tools in mainstream participatory budgeting processes in Scotland
In recent years participatory budgeting (PB) in Scotland has grown from ...
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10/12/2021
Evaluation of Abstractive Summarisation Models with Machine Translation in Deliberative Processes
We present work on summarising deliberative processes for non-English la...
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09/20/2021
A mixed-methods ethnographic approach to participatory budgeting in Scotland
Participatory budgeting (PB) is already well established in Scotland in ...
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09/12/2021
Extracting Event Temporal Relations via Hyperbolic Geometry
Detecting events and their evolution through time is a crucial task in n...
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09/04/2021
Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic
As the digital news industry becomes the main channel of information dis...
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06/07/2021
Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction
The Emotion Cause Extraction (ECE) task aims to identify clauses which c...
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06/02/2021
Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification
Fact verification is a challenging task that requires simultaneously rea...
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06/02/2021
Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection
Emotion detection in dialogues is challenging as it often requires the i...
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05/28/2021
A Query-Driven Topic Model
Topic modeling is an unsupervised method for revealing the hidden semant...
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04/19/2021
Code Structure Guided Transformer for Source Code Summarization
Source code summarization aims at generating concise descriptions of giv...
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02/28/2021
Citizen Participation and Machine Learning for a Better Democracy
The development of democratic systems is a crucial task as confirmed by ...
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02/16/2021
Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies
Biomedical question-answering (QA) has gained increased attention for it...
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01/25/2021
Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews
In this paper, we propose the Brand-Topic Model (BTM) which aims to dete...
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11/01/2020
CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question Answering
We introduce CHIME, a cross-passage hierarchical memory network for ques...
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10/22/2020
A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews
The flexibility of the inference process in Variational Autoencoders (VA...
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08/20/2020
TRU-NET: A Deep Learning Approach to High Resolution Prediction of Rainfall
Climate models (CM) are used to evaluate the impact of climate change on...
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08/11/2020
A Neural Generative Model for Joint Learning Topics and Topic-Specific Word Embeddings
We propose a novel generative model to explore both local and global con...
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05/27/2020
Neural Temporal Opinion Modelling for Opinion Prediction on Twitter
Opinion prediction on Twitter is challenging due to the transient nature...
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04/26/2020
Neural Topic Modeling with Bidirectional Adversarial Training
Recent years have witnessed a surge of interests of using neural topic m...
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02/10/2020
What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process
In our world with full of uncertainty, debates and argumentation contrib...
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11/22/2019