May 6, 2021 · In this paper, we propose a relation extraction model that makes use of external knowledge and the semantic roles of entities.

Relation extraction (RE) aims at identifying the relationship between two given entities and plays an essential role in natural language processing (NLP).

Aug 25, 2020 · In this paper, we propose a relation extraction method based on multi-task learning. It uses multiple tasks to learn features that are hard to ...

Combining lexical, syntactic and semantic features with Maximum Entropy models for extracting relations. Article. Full-text available. Jul 2004.

Few-shot relation extraction (few-shot RE) aims to recognize relations between the entity pair in a given text by utilizing very few annotated instances.

This paper proposes a relation extraction method based on multi- task learning that uses multiple tasks to learn features that are hard to learn from the ...

Abstract. Joint extraction of entities and relations has achieved great success in recent year by task decomposition and multi-task learning.

Abstract. Current state-of-the-art relation extraction methods typically rely on a set of lexical, syntactic, and semantic features, explicitly computed in ...

Jun 10, 2023 · Capturing semantics and structure surrounding the target entity pair is crucial for relation extraction. The task is challenging due to the ...

Jun 24, 2024 · This survey provides a comprehensive review of existing deep learning techniques for RE. First, we introduce RE resources, including datasets and evaluation ...