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N-ary Relation Extraction using Graph State LSTM
[article]
2018
arXiv
pre-print
Cross-sentence n-ary relation extraction detects relations among n entities across multiple sentences. Typical methods formulate an input as a document graph, integrating various intra-sentential and inter-sentential dependencies. The current state-of-the-art method splits the input graph into two DAGs, adopting a DAG-structured LSTM for each. Though being able to model rich linguistic knowledge by leveraging graph edges, important information can be lost in the splitting procedure. We propose
arXiv:1808.09101v1
fatcat:ffg4ivkjsbcebo6j6ge264gqie