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Abstract Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary . . . In this paper, we propose the first fine-grained n-ary RE framework Text2NKG for NKG construction in four example schemas, proposing a span-tuple multi-label classification method with hetero-ordered merging and output merging to improve the accuracy of fine-grained n-ary RE extraction in all NKG schemas substantially
Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational . . . This work presents a simple pipelined approach for entity and relation extraction, and establishes the new state-of-the-art on standard benchmarks, obtaining a 1 7%-2 8% absolute improvement in relation F1 over previous joint models with the same pre-trained encoders