activity
20192024
most citedLingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs

23 citations · 116 across the 34 of their papers we have counts for

collaborators

34 papers

cs.CL2024

Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints

Ran Song, Shizhu He, Shengxiang Gao +4

Multilingual Knowledge Graph Completion (mKGC) aim at solving queries like (h, r, ?) in different languages by reasoning a tail entity t thus improving multilingual knowledge graph…

cs.CL2024

Find Parent then Label Children: A Two-stage Taxonomy Completion Method with Pre-trained Language Model

Fei Xia, Yixuan Weng, Shizhu He +2

Taxonomies, which organize domain concepts into hierarchical structures, are crucial for building knowledge systems and downstream applications. As domain knowledge evolves, taxono…

cs.CL2023★ 1 cited

Oasis: Data Curation and Assessment System for Pretraining of Large Language Models

Tong Zhou, Yubo Chen, Pengfei Cao +3

Data is one of the most critical elements in building a large language model. However, existing systems either fail to customize a corpus curation pipeline or neglect to leverage c…

cs.AI2023

Query2Triple: Unified Query Encoding for Answering Diverse Complex Queries over Knowledge Graphs

Yao Xu, Shizhu He, Cunguang Wang +3

Complex Query Answering (CQA) is a challenge task of Knowledge Graph (KG). Due to the incompleteness of KGs, query embedding (QE) methods have been proposed to encode queries and e…

cs.CL2023

Interpreting Sentiment Composition with Latent Semantic Tree

Zhongtao Jiang, Yuanzhe Zhang, Cao Liu +3

As the key to sentiment analysis, sentiment composition considers the classification of a constituent via classifications of its contained sub-constituents and rules operated on th…

cs.MM2023★ 1 cited

Prompting Vision Language Model with Knowledge from Large Language Model for Knowledge-Based VQA

Yang Zhou, Pengfei Cao, Yubo Chen +2

Knowledge-based visual question answering is a very challenging and widely concerned task. Previous methods adopts the implicit knowledge in large language models (LLM) to achieve…