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Triple Classification

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KG-BERT: BERT for Knowledge Graph Completion

7 Sep 2019yao8839836/kg-bert

Knowledge graphs are important resources for many artificial intelligence tasks but often suffer from incompleteness.

KNOWLEDGE GRAPH COMPLETION LANGUAGE MODELLING LINK PREDICTION TRIPLE CLASSIFICATION

Differentiating Concepts and Instances for Knowledge Graph Embedding

EMNLP 2018 davidlvxin/TransC

Most conventional knowledge embedding methods encode both entities (concepts and instances) and relations as vectors in a low dimensional semantic space equally, ignoring the difference between concepts and instances.

KNOWLEDGE GRAPH EMBEDDING KNOWLEDGE GRAPHS LINK PREDICTION TRIPLE CLASSIFICATION

Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning with Confidence

9 May 2017thunlp/CKRL

Experimental results demonstrate that our confidence-aware models achieve significant and consistent improvements on all tasks, which confirms the capability of CKRL modeling confidence with structural information in both KG noise detection and knowledge representation learning.

KNOWLEDGE GRAPH COMPLETION REPRESENTATION LEARNING TRIPLE CLASSIFICATION

Image-embodied Knowledge Representation Learning

22 Sep 2016thunlp/IKRL

More specifically, we first construct representations for all images of an entity with a neural image encoder.

KNOWLEDGE GRAPH COMPLETION REPRESENTATION LEARNING TRIPLE CLASSIFICATION

Reasoning on Knowledge Graphs with Debate Dynamics

2 Jan 2020m-hildebrandt/R2D2

The main idea is to frame the task of triple classification as a debate game between two reinforcement learning agents which extract arguments -- paths in the knowledge graph -- with the goal to promote the fact being true (thesis) or the fact being false (antithesis), respectively.

KNOWLEDGE GRAPHS LINK PREDICTION TRIPLE CLASSIFICATION

On the Role of Conceptualization in Commonsense Knowledge Graph Construction

6 Mar 2020mutiann/ccc

Commonsense knowledge graphs (CKGs) like Atomic and ASER are substantially different from conventional KGs as they consist of much larger number of nodes formed by loosely-structured text, which, though, enables them to handle highly diverse queries in natural language related to commonsense, leads to unique challenges for automatic KG construction methods.

GRAPH CONSTRUCTION KNOWLEDGE GRAPHS TRIPLE CLASSIFICATION