Enhancing Patent Retrieval using Text and Knowledge Graph Embeddings: A Technical Note

no code implementations • 3 Nov 2022 • L Siddharth, Guangtong Li, Jianxi Luo

We obtain citation and inventor embeddings through TransE that is trained using the corresponding knowledge graphs.

Knowledge Graph Embedding Knowledge Graph Embeddings +4

Embedding Knowledge Graph of Patent Metadata to Measure Knowledge Proximity

no code implementations • 3 Nov 2022 • Guangtong Li, L Siddharth, Jianxi Luo

Knowledge proximity refers to the strength of association between any two entities in a structural form that embodies certain aspects of a knowledge base.

Graph Embedding

A Survey : Neural Networks for AMR-to-Text

no code implementations • 15 Jun 2022 • Hongyu Hao, Guangtong Li, Zhiming Hu, Huafeng Wang

AMR-to-text is one of the key techniques in the NLP community that aims at generating sentences from the Abstract Meaning Representation (AMR) graphs.

Decoder Language Modelling