Search Results for author: Chengjiang Li

Found 8 papers, 3 papers with code

Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making

1 code implementation ACL 2021 Zijun Yao, Chengjiang Li, Tiansi Dong, Xin Lv, Jifan Yu, Lei Hou, Juanzi Li, Yichi Zhang, Zelin Dai

Using a set of comparison features and a limited amount of annotated data, KAT Induction learns an efficient decision tree that can be interpreted by generating entity matching rules whose structure is advocated by domain experts.

Attribute Decision Making +2

Learning Syllogism with Euler Neural-Networks

no code implementations14 Jul 2020 Tiansi Dong, Chengjiang Li, Christian Bauckhage, Juanzi Li, Stefan Wrobel, Armin B. Cremers

In contrast to traditional neural network, ENN can precisely represent all 24 different structures of Syllogism.

Logical Reasoning

Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model

1 code implementation IJCNLP 2019 Chengjiang Li, Yixin Cao, Lei Hou, Jiaxin Shi, Juanzi Li, Tat-Seng Chua

Specifically, as for the knowledge embedding model, we utilize TransE to implicitly complete two KGs towards consistency and learn relational constraints between entities.

Entity Alignment Graph Attention +1

Course Concept Extraction in MOOCs via Embedding-Based Graph Propagation

no code implementations IJCNLP 2017 Liangming Pan, Xiaochen Wang, Chengjiang Li, Juanzi Li, Jie Tang

Massive Open Online Courses (MOOCs), offering a new way to study online, are revolutionizing education.

On Modeling Sense Relatedness in Multi-prototype Word Embedding

no code implementations IJCNLP 2017 Yixin Cao, Jiaxin Shi, Juanzi Li, Zhiyuan Liu, Chengjiang Li

To enhance the expression ability of distributional word representation learning model, many researchers tend to induce word senses through clustering, and learn multiple embedding vectors for each word, namely multi-prototype word embedding model.

Clustering Language Modelling +3

Prerequisite Relation Learning for Concepts in MOOCs

no code implementations ACL 2017 Liangming Pan, Chengjiang Li, Juanzi Li, Jie Tang

What prerequisite knowledge should students achieve a level of mastery before moving forward to learn subsequent coursewares?

Relation Representation Learning

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