Global relation embedding for relation extraction

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Dialogue-based relation extraction

D Yu, K Sun, C Cardie, D Yu - ar** Relation Extraction Model Based on Global Pointer Annotation Strategy.
P Wang, J **e, X Chen, G Li, W Li - IJCAI, 2023 - ijcai.org
Recent work for extracting relations from texts has achieved excellent performance.
However, existing studies mainly focus on simple relation extraction, and these methods …
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Open relation extraction for chinese noun phrases

C Wang, X He, A Zhou - IEEE Transactions on Knowledge and …, 2019 - ieeexplore.ieee.org
Relation Extraction (RE) aims at harvesting relational facts from texts. A majority of existing
research targets at knowledge acquisition from sentences, where subject-verb-object …
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A dynamic parameter enhanced network for distant supervised relation extraction

Y Gou, Y Lei, L Liu, P Zhang, X Peng - Knowledge-Based Systems, 2020 - Elsevier
Abstract Distant Supervised Relation Extraction (DSRE) is usually formulated as a problem
about classifying a bag of sentences that contains two query entities into the predefined …
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[PDF][PDF] From what to why: Improving relation extraction with rationale graph

Z Zhang, B Yu, X Shu, X Mengge, T Liu… - Findings of the …, 2021 - aclanthology.org
Which type of information affects the existing neural relation extraction (RE) models to make
correct decisions is an important question. In this paper, we observe that entity type and …
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Document-level relation extraction with path reasoning

W Xu, K Chen, T Zhao - ACM Transactions on Asian and Low-Resource …, 2023 - dl.acm.org
Document-level relation extraction (DocRE) aims to extract relations among entities across
multiple sentences within a document by using reasoning skills (ie, pattern recognition …
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