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06/07/2023
A Survey on Knowledge Graphs for Healthcare: Resources, Applications, and Promises
Healthcare knowledge graphs (HKGs) have emerged as a promising tool for ...
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05/30/2023
Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models
Large language models (LLMs) have significantly advanced the field of na...
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02/06/2023
MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields
Multimodal learning has attracted the interest of the machine learning c...
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10/13/2022
Closed-book Question Generation via Contrastive Learning
Question Generation (QG) is a fundamental NLP task for many downstream a...
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01/12/2022
How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation
Graph neural networks (GNNs), as a group of powerful tools for represent...
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04/14/2021
Evaluation of Unsupervised Entity and Event Salience Estimation
Salience Estimation aims to predict term importance in documents. Due to...
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10/21/2019