research
∙
09/12/2023
A comparison of citation-based clustering and topic modeling for science mapping
Science mapping is an important tool to gain insight into scientific fie...
share
research
∙
07/14/2023
A scoping review on multimodal deep learning in biomedical images and texts
Computer-assisted diagnostic and prognostic systems of the future should...
research
∙
07/05/2023
Graph Contrastive Topic Model
Existing NTMs with contrastive learning suffer from the sample bias prob...
research
∙
05/10/2023
Word Grounded Graph Convolutional Network
Graph Convolutional Networks (GCNs) have shown strong performance in lea...
research
∙
04/18/2023
A Survey on Biomedical Text Summarization with Pre-trained Language Model
The exponential growth of biomedical texts such as biomedical literature...
research
∙
04/11/2023
Zero-shot Temporal Relation Extraction with ChatGPT
The goal of temporal relation extraction is to infer the temporal relati...
research
∙
04/10/2023
The Wall Street Neophyte: A Zero-Shot Analysis of ChatGPT Over MultiModal Stock Movement Prediction Challenges
Recently, large language models (LLMs) like ChatGPT have demonstrated re...
research
∙
04/06/2023
On the Evaluations of ChatGPT and Emotion-enhanced Prompting for Mental Health Analysis
Automated mental health analysis shows great potential for enhancing the...
research
∙
04/01/2023
Mastering Pair Trading with Risk-Aware Recurrent Reinforcement Learning
Although pair trading is the simplest hedging strategy for an investor t...
research
∙
03/27/2023
ChatGPT as a Factual Inconsistency Evaluator for Abstractive Text Summarization
The performance of abstractive text summarization has been greatly boost...
research
∙
03/15/2023
FactReranker: Fact-guided Reranker for Faithful Radiology Report Summarization
Automatic radiology report summarization is a crucial clinical task, who...
research
∙
01/26/2023
CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization
Citation graphs can be helpful in generating high-quality summaries of s...
research
∙
01/25/2023
Select and Trade: Towards Unified Pair Trading with Hierarchical Reinforcement Learning
Pair trading is one of the most effective statistical arbitrage strategi...
research
∙
10/10/2022
SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction
Link prediction is the task of inferring missing links between entities ...
research
∙
10/10/2022
Readability Controllable Biomedical Document Summarization
Different from general documents, it is recognised that the ease with wh...
research
∙
08/21/2022
GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization
Recently, neural topic models (NTMs) have been incorporated into pre-tra...
research
∙
07/02/2022
Can Language Models Make Fun? A Case Study in Chinese Comical Crosstalk
Language is the principal tool for human communication, in which humor i...
research
∙
10/11/2021
Pre-trained Language Models in Biomedical Domain: A Systematic Survey
Pre-trained language models (PLMs) have been the de facto paradigm for m...
research
∙
04/13/2020