Dec 16, 2020 · The auxiliary learning method focuses on the model learning phase and introduces a binary classification task that treats the artificial ...

With the help of the auxiliary learning method, better representations can be learned without the side effect of insufficient learning for the semantic relation ...

The auxiliary learning method focuses on the model learning phase and introduces a binary classification task that treats the artificial relation type $no\_ ...

Sep 6, 2019 · Abstract:Relation extraction models suffer from limited qualified training data. Using human annotators to label sentences is too expensive ...

Dec 16, 2023 · A novel rule-based framework that jointly learns both a DocRE model and logical rules in an end-to-end fashion.

In this paper, we propose MILR, a logic enhanced framework that boosts DocRE by Mining and Injecting Logical Rules. MILR first mines logical rules from ...

In this paper, we analyze the co-occurrence correlation of relations, and introduce it into the document-level relation extraction task for the first time.

positive instances of the auxiliary relation types from the test set, although in practice we need to extract these auxiliary relation instances using.

Apr 25, 2023 · Abstract. Recently, knowledge-enhanced methods leveraging auxiliary knowledge graphs have emerged in relation extraction, ...

This paper proposes a history-based structured learning approach that jointly extracts entities and relations ... auxiliary training objective on language ...