About

Relation Classification is the task of identifying the semantic relation holding between two nominal entities in text.

Source: Structure Regularized Neural Network for Entity Relation Classification for Chinese Literature Text

Benchmarks

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Subtasks

Datasets

Greatest papers with code

The Devil is the Classifier: Investigating Long Tail Relation Classification with Decoupling Analysis

15 Sep 2020zjunlp/deepke

Long-tailed relation classification is a challenging problem as the head classes may dominate the training phase, thereby leading to the deterioration of the tail performance.

CLASSIFICATION RELATION CLASSIFICATION

FewRel 2.0: Towards More Challenging Few-Shot Relation Classification

IJCNLP 2019 thunlp/fewrel

We present FewRel 2. 0, a more challenging task to investigate two aspects of few-shot relation classification models: (1) Can they adapt to a new domain with only a handful of instances?

CLASSIFICATION DOMAIN ADAPTATION FEW-SHOT RELATION CLASSIFICATION

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.

 Ranked #1 on Named Entity Recognition on SciERC (using extra training data)

JOINT ENTITY AND RELATION EXTRACTION NAMED ENTITY RECOGNITION RELATION CLASSIFICATION

K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

5 Feb 2020studio-ousia/luke

We study the problem of injecting knowledge into large pre-trained models like BERT and RoBERTa.

DEPENDENCY PARSING ENTITY TYPING QUESTION ANSWERING RELATION CLASSIFICATION

Enriching Pre-trained Language Model with Entity Information for Relation Classification

20 May 2019monologg/R-BERT

In this paper, we propose a model that both leverages the pre-trained BERT language model and incorporates information from the target entities to tackle the relation classification task.

CLASSIFICATION LANGUAGE MODELLING RELATION CLASSIFICATION

Reinforcement Learning for Relation Classification from Noisy Data

24 Aug 2018unreliableXu/TensorFlow_RLRE

In this paper, we propose a novel model for relation classification at the sentence level from noisy data.

RELATION CLASSIFICATION

Semantic Relation Classification via Bidirectional LSTM Networks with Entity-aware Attention using Latent Entity Typing

23 Jan 2019roomylee/entity-aware-relation-classification

Our model not only utilizes entities and their latent types as features effectively but also is more interpretable by visualizing attention mechanisms applied to our model and results of LET.

CLASSIFICATION ENTITY TYPING RELATION CLASSIFICATION