Papers by Kunquan Deng

2 papers
MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities (2022.acl-demo)

Copied to clipboard

Challenge: Recent Knowledge Graphs (KGs) store billions of world facts in a directed graph, but expression ability of such entity-centric KGs is limited.
Approach: They propose a large-scale multi-modal event knowledge graph named MMEKG that unifies different modalities of knowledge via events.
Outcome: The proposed system unifies different modalities of knowledge via events, which complement and disambiguate each other.
ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification (2022.coling-1)

Copied to clipboard

Challenge: Existing methods to identify event-event causal relations in a document are noisy and require heuristic rules or external tools.
Approach: They propose a document-level event-event causality identification framework that uses heuristic rules to design edges between events.
Outcome: The proposed framework outperforms existing state-of-the-art methods on two benchmark datasets.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations