CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning

Understand

Joint extraction of entities and relations has received significant attention due to its potential of providing higher performance for both tasks.

• Among existing methods, CopyRE is effective and novel, which uses a sequence-to-sequence framework and copy mechanism to directly generate the relation triplets.
• However, it suffers from two fatal problems.
• The model is extremely weak at differing the head and tail entity, resulting in inaccurate entity extraction.