Papers by Jianshan He

2 papers
Generating Informative Conversational Response using Recurrent Knowledge-Interaction and Knowledge-Copy (2020.acl-main)

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Challenge: Knowledge-driven conversation approaches have attracted considerable research attention in recent years.
Approach: They propose a method that integrates recurrent knowledge interaction among response decoding steps to incorporate appropriate knowledge.
Outcome: The proposed method improves on two datasets Wizard-of-Wikipedia and DuConv with different knowledge formats and different languages.
PairRE: Knowledge Graph Embeddings via Paired Relation Vectors (2021.acl-long)

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Challenge: Existing knowledge graph embedding methods fail to solve two major problems at the same time, leading to unsatisfactory results.
Approach: They propose a model with paired vectors for each relation representation that can be adaptively adjusted to fit for different complex relations.
Outcome: Experiments on two knowledge graph datasets show the proposed model can handle complex relations and encode relation patterns.

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