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Joint Entity and Relation Extraction

11 papers with code · Natural Language Processing

Scores reported from systems which jointly extract entities and relations.

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Greatest papers with code

CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases

27 Oct 2016shanzhenren/CoType

We propose a novel domain-independent framework, called CoType, that runs a data-driven text segmentation algorithm to extract entity mentions, and jointly embeds entity mentions, relation mentions, text features and type labels into two low-dimensional spaces (for entity and relation mentions respectively), where, in each space, objects whose types are close will also have similar representations.

JOINT ENTITY AND RELATION EXTRACTION RELATION EXTRACTION

Adversarial training for multi-context joint entity and relation extraction

EMNLP 2018 bekou/multihead_joint_entity_relation_extraction

Adversarial training (AT) is a regularization method that can be used to improve the robustness of neural network methods by adding small perturbations in the training data.

JOINT ENTITY AND RELATION EXTRACTION RELATION EXTRACTION

GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction

ACL 2019 tsujuifu/pytorch_graph-rel

In contrast to previous baselines, we consider the interaction between named entities and relations via a 2nd-phase relation-weighted GCN to better extract relations.

JOINT ENTITY AND RELATION EXTRACTION RELATION EXTRACTION

Span-based Joint Entity and Relation Extraction with Transformer Pre-training

17 Sep 2019markus-eberts/spert

The model is trained using strong within-sentence negative samples, which are efficiently extracted in a single BERT pass.

JOINT ENTITY AND RELATION EXTRACTION NAMED ENTITY RECOGNITION RELATION CLASSIFICATION

Entity, Relation, and Event Extraction with Contextualized Span Representations

IJCNLP 2019 dwadden/dygiepp

We examine the capabilities of a unified, multi-task framework for three information extraction tasks: named entity recognition, relation extraction, and event extraction.

JOINT ENTITY AND RELATION EXTRACTION NAMED ENTITY RECOGNITION RELATION EXTRACTION

A General Framework for Information Extraction using Dynamic Span Graphs

NAACL 2019 luanyi/DyGIE

We introduce a general framework for several information extraction tasks that share span representations using dynamically constructed span graphs.

JOINT ENTITY AND RELATION EXTRACTION NAMED ENTITY RECOGNITION RELATION EXTRACTION

Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction

22 Nov 2019nusnlp/PtrNetDecoding4JERE

A relation tuple consists of two entities and the relation between them, and often such tuples are found in unstructured text.

JOINT ENTITY AND RELATION EXTRACTION MACHINE TRANSLATION RELATION EXTRACTION

Table Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation Extraction

COLING 2016 pgcool/TF-MTRNN

This paper proposes a novel context-aware joint entity and word-level relation extraction approach through semantic composition of words, introducing a Table Filling Multi-Task Recurrent Neural Network (TF-MTRNN) model that reduces the entity recognition and relation classification tasks to a table-filling problem and models their interdependencies.

ENTITY EXTRACTION JOINT ENTITY AND RELATION EXTRACTION RELATION CLASSIFICATION SEMANTIC COMPOSITION STRUCTURED PREDICTION